Insightssuccess the 10 best performing big data & business analytics companies july 2017

www.insightssuccess.com July 2017

The way of business solutions

The

10

Best Performing

&

BIG DATA BUSINESS ANALYTICS Companies 2017

Industry Insight An Insight on the Opportunities in the Big Data Industry

Data Talk Big Data Transforming Businesses Altogether Jason Goodall Group Chief Executive Ofď€ cer

Accelerating Business Ambitions Through Technology Innovation

Editorial

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illiam Edwards Deming, a popular American statistician, author and professor, is famous for deriving the “PlanDo-Check-Act” cycle popularly named after him, and is also credited for the well-known quote among data enthusiasts: “In God we trust; all others must bring data.” After all the evident insights, we would agree that ‘data-driven decision making’ is far supercilious to other forms of making decisions. However, the key to use data for appraising best decisions doesn’t solely lie in the ‘data’ part of the equation.

Modern businesses today have more ways than ever to slice-and-dice their data, varying across advanced Business Intelligence tooling to Machine Learning and Artificial Intelligence. As data scientists and business leaders grip on the great potential of these new technologies, there’s a risk of losing sight on what’s most important: the ‘data’ itself. Nevertheless, fancy visualizations and predictive analytics don’t matter without the right data powering them.

Calibrating Our Cynosure Back to the ‘Data’

Every single business needs to prioritize structuring and collection of their underlying data over its analysis. All business mentors need to make good decisions, and the best decisions are made with user data.

Companies have just arisen to grasp not only the complexity of data, but also the depth of its affiliation with their own employees. It’s no longer sufficient to just evaluate the topline metrics at a monthly allhands assembly. Organizations must permeate data-driven progressions into their decision-making.

Businesses must consider all of its data as a huge and growing collection of opportunities. Every dataset across all verticals – CRM, CMS, ERP, Marketing software – contains enormous possible insights. Intuitive findings that seem insignificant now, might matter a pronounced deal down the road. It’s impossible to percussively know what data matters, so businesses need to collect as much of it as they can. This lets businesses retroactively discover acumens, even if their priorities or market conditions change.

The quality of data is of utmost importance. If you base your decisions on incomplete data, it becomes tougher to trust the results, and it eventually grinds down confidence in a data-driven culture.

Clean, complete, and correct data is essential for generating actionable insights.

Machine learning has been acknowledged with a great deal of hype, and for good reason. But it cannot live up to its bold potential unless it’s well-versed by a strong foundation: clean, complete data formed by an organization that etches data into its culture. The term “datadriven” has been around for years, but in today’s fast-paced and progressively digital economy, it needs to become a cultural mandate for companies everywhere.

Poonam Yadav

Embracing Digital Intelligence by Developing a Transformational Mind-set

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here’s a huge disruption in the work-structure of many organizations due to the availability of data on an unprecedented scale. There’s an immediate rush among the corporates in the society after perceiving the importance of creating an online (and effective) presence. To accomplish that, from a business perspective, Big Data is undeniably useful. There’s an eventful transformation in the accuracy of market research through machine learning algorithms and now businesses can target to suit their personal preferences of individual customers, using information to gather even more insightful information. Big data has allowed businesses to access far more info, not only just about their customers but also about themselves. Ultimately, big data provides businesses with a valuable tool; enabling organizations to generate successful strategies, and bring efficiency (essentially transparency) that previously was drowned in paperwork. On top of this, it has enhanced the further adoption of technology (particularly AI and IoT).

about listing

So as to prosper, you must embrace digital intelligence by developing a transformational mind-set, deploying new business models via an agile approach, and cultivate a data-driven culture that permeates throughout the organization. Herein Insights Success magazine takes the privilege to list out experienced professionals to analyze your information effectively in its special issue of “The 10 Best Performing Big Data and Business Analytics Companies 2017”.

As our cover story we have, Dimension Data, a globally-recognized brand helping organizations deliver better business outcomes and accelerate their ambitions. Dimension Data puts its clients’ business ambitions at the heart of its services-led approach and technology by providing technical expertise in all relevant technologies: data centers, networking, cloud and cybersecurity. Apart from Dimension Data, we have some other innovators enlisted in this issue.

Adaptive provides clients with software solutions and value-adding partnerships that deliver a business discipline of data governance, control and innovation to the enterprise. Axis Technical Group is a premier technology services firm, Microsoft Gold Partner and trusted business technology advisor to leading companies in the Mortgage, Title, Healthcare, Oil & Gas, Entertainment and Financial Services industries. Listed for being the one among the leaders in cyber security solutions, Lunarline provides customers with strategic solutions to ensure the data they store, transmit, or process is secure from the beginning. A cloud big data and corporate mobile development firm, NorthBay is focused on helping companies extend their brands and achieve brand engagement and loyalty from customers, partners, and vendors. Reltio is the frontrunner in data management with a Modern Data Management Platform-as-a-Service in the cloud, built on a foundation of technologies designed for big data scale. Lastly, WonderBi is a Mobile First interactive data analytics solution provider that delivers business insights which enable business users to take smart ‘in the moment’ decisions.

So, flip through the amazing folios for insights on organizations striving hard to keep-up with the technological disruption in the industry. Do not miss out on some important executive acumen on “Can Analytics Change the Way Companies Collaborate and Consume Technology?” by Stephanie L. Carhee, President, UC Interlink and “Connecting Dark Data with IoT” by Adrian Hinrichsen, Marketing & Business Development Director of Datumize.

Editor-in-Chief Pooja M. Bansal Senior Editor Ariana Lawrence Managing Editor Poonam Yadav Co-Editors David Smith Abhijeet Parade Contributers Sourav Mukherjee Kaustav Roy Visualiser David King Art & Design Director Amol Kamble Co-designer Alex Noel Picture Editor Vanshika Mittal Art Editor Vinod Alhat Business Development Manager Mike Thomas Nick Adams Marketing Manager Philip Walker Business Development Executives Andy, David, Peter, Kevin, John, Brian Research Analyst Jennifer Circulation Manager Robert Database Management Steve Technology Consultant Vishal More sales@insightssuccess.com

July, 2017 Corporate Ofď€ ces: Insights Success Media Tech LLC 555 Metro Place North, Suite 100, Dublin, OH 43017, United States Phone - (614)-602-1754 Email: info@insightssuccess.com For Subscription: Visit www.insightssuccess.com 7

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Cover Story

Jason Goodall Group Chief Executive Ofď€ cer

Accelerating Business Ambitions Through Technology Innovation

If you believe you can do anything, we’re here to help you do it.

Cover Story

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he world is currently experiencing levels of change and disruption never seen before. With a strong belief that technology can help people stay ahead and do great things, Dimension Data is helping organizations deliver better business outcomes and accelerate their ambitions.

Founded 34 years ago, Dimension Data is a globallyrecognized brand with annual revenues of USD 7.4 billion.

Their more than 6,000 clients include 75 percent of the Fortune 100 and seven of the top 10 Fortune 500. In 2010, Nippon Telegraph and Telephone Corporation (NTT), one of the world’s largest ICT companies, acquired 100 percent of Dimension Data Plc, making it a wholly-owned subsidiary of the NTT Group.

Recently named by research firm Frost & Sullivan as the Systems Integration (SI) Company of the Year for 2017, Dimension Data’s success as a world-class global SI is tied to its technical expertise and deep understanding of the changing market dynamics for their enterprise clients. One of the biggest challenges these organisations face is with services integration. As organizations combine Infrastructure-as-a-Service (IaaS) and Software-as-aService (SaaS) with their legacy infrastructure and investments, they can find themselves faced with interoperability complexities of hybrid IT — an environment in which a technology service can be deployed on-premise, in a public, private or hybrid cloud, or any combination of these deployment models. Dimension Data leverages the collective expertise of its people, processes and platforms to help organisations successfully navigate their digital journeys.

Creating Efficiencies and Optimizing IT for Better Business Outcomes Forward-thinking organizations are pursuing a digital strategy today, whether simply to improve operational efficiency or to completely transform their business models.

By bringing together consulting, technical support, managed services and the cloud, Dimension Data’s services-led approach is helping clients maximize the return on their legacy investments, while exploiting the opportunities presented by newer digital technologies. It’s a powerful mix, and the world’s largest enterprises rely on Dimension Data as a strategic, trusted partner to manage their hybrid IT environments.

Dimension Data has the capabilities and expertise to maximize the value of technology by: · Designing, implementing, supporting and managing multivendor solutions. · Providing technical expertise in all relevant technologies: data centers, networking, cloud and cybersecurity. · Operating to consistent ITIL processes around the world with advanced levels of automation and service integration. · Building services from scratch, optimizing and supporting existing investments, or taking over the management of technology and applications – or any combination in between. · Covering the full range of hybrid IT: on-premise, hosted, and cloud services across any device from desktops to the emerging devices of the Internet of Things (IoT).

Jason Goodall: An Intuitive and Inventive Technology Leader for the Digital Age “Technology used to be about improving efficiency. Now it’s become the main driver of strategic competitive advantage,” according to Goodall, whose career with Dimension Data started in 1998, when he was appointed Chief Financial Officer at OmniLink, a Dimension Data subsidiary which was later merged with Internet Solutions.

Goodall believes that technology today plays a much more powerful role in business than it used to.

Traditionally, technology used to be about keeping the lights on, making things better or improving efficiency. Now, technology is how Dimension Data and its clients create value, and for a true digital business, where the whole business model is built on information technology, it’s the heart of strategic business value.

From 2001 to 2003, Goodall held the position of Chief Operating Officer at Internet Solutions, instrumental in building the company into a highly profitable and successful business. He then became Dimension Data South Africa’s head of the Converged Infrastructure business.

Soon thereafter, he became the Managing Director of Dimension Data Middle East & Africa. In 2016, Goodall was appointed Dimension Data’s Group Chief Executive

Officer, tightly focused on fulfilling its clients’ expectations around the world and ensuring that the company delivers the business outcomes its clients are asking for.

Dimension Data integrated IT, unified the hospital’s communications and operational technologies to create a higher-performing hospital environment.

Accelerating Ambitions by Being Perceptive about Client’s Requirements Dimension Data puts its clients’ business ambitions at the heart of its services-led approach and technology.

Its consulting services team takes the time to fully understand its clients’ business, collaborating to develop a digital strategy that will deliver the desired outcomes. This strategic, consulting-led approach helps Dimension Data’s clients envisage their digital future using technologies that ideally suit their business requirements.

Intercommunale de Santé Publique du Pays de Charleroi (ISPPC) is adding intelligence to the systems that control nurses’ calls, building operations and safety, as well as refrigeration units that store organs and blood. The hospital’s first big win has come from monitoring temperatures of refrigeration units: over 700 fixed refrigerators and freezers that store critical supplies such as grafting organs, medicines, blood products and laboratory reagents. If a temperature threshold is exceeded, an alarm is triggered with a notification sent via buzzer, email or voice message – or all three depending on the equipment. In the three years the application has been in use, none of these supplies have been lost.

Dimension Data’s services organization also provides advisory services, specialist transformation services and a wide range of architecture consulting that covers next-generation data center services, hybrid cloud, networking, cybersecurity, collaboration, business resilience, IoT, and business analytics.

In addition, it offers all the necessary project and program management services to keep delivery on track.

Revolutionizing the Viewing Experience of the Tour de France Amaury Sport Organisation (A.S.O.), organizers of the Tour de France, and Dimension Data, the Official Technology Partner of the Tour de France, are working together to transform the viewing experience of cycling fans around the world.

Hosted in their cloud, Dimension Data’s data analytics platform — developed in partnership with A.S.O. — combines historical data with livetracking to give an unprecedented level

of insight to fans as the race unfolded across France. At the core of the live tracking and data analytics solution are GPS transponders installed under the “saddles,” or seats, of each bicycle.

The data collected from these transponders is combined with external data about the course gradient along with prevailing weather conditions to generate insights such as live speed and the location of individual riders, distance between riders, and composition of groups within the race.

This year the solution created and analyzed more than three billion data points during the 21 stages of the Tour, a significant increase from last year’s 128 million data points. Fans also benefitted from deeper insights into rider profiles, gaining a better understanding about environments and circumstances in which they performed best. 198 riders in 22 teams generated over 150 million geospatial and environmental data readings along the 3,540km route.

Connected Inventory for Excellent Patient Care Dimension Data is at the forefront of assisting clients to utilize IoT-as-aplatform. An example of the company assisting a client is a public health organization in Belgium, where

In the future, ISPPC will add more direct customer engagement elements to its IoT program, such as using digital signage to direct patients to the right department inside the hospital based on location data from their mobile device or hospital bracelet.

Creating greater efficiency and effectiveness today is the foundation layer to creating an improved patient experience overall.

A Hyper-connected Safe Haven for Rhinos Rhino poaching statistics in South Africa are staggering: 1,215 rhinos were killed in 2014. To help address the poaching problem, Dimension Data, in collaboration with Cisco, has created a Connected Conservation program that’s been implemented at a private game reserve in South Africa.

The solution uses digital technologies to provide real-time intelligence to

Technology used to be about improving efficiency.

Now it’s become the main driver of strategic competitive advantage.

enable preventative action against rhino poachers. CCTV, biometric scans, seismic sensors and thermal imaging on the main perimeter help track people entering the reserve and alert rangers via multiscreen communications.

Using the power of IoT combined with real-time data and analytics, Dimension Data aims for zero rhino kills. According to Anton Jooste, Dimension Data’s Senior Vice President who leads the company’s IoT practice, they’ve made great strides, as evidenced in the 96% reduction in the number of rhinos poached in the reserve since the Connected Conservation program was implemented in November 2015.

Optimizing the Digital Journey Through a Secure and Interactive Infrastructure The Internet of Things helps blend the digital and physical worlds. While there’s much to be gained from using IoT to deliver operational efficiencies, perhaps the greater value is using it to provide key insights to decision makers and create exceptional experiences for end customers. Dimension Data provides the platforms, networks and infrastructure to enable this new way of operating, while testing and learning from proof-of-concept projects with clients.

Organizations must also focus more on cybersecurity and networking as part of their overall IoT play. Dimension Data’s “The Executive’s Guide to the 2017 Global Threat Intelligence Report” stated that 77% of all ransomware are detected in four industries: business and professional services, government, health care and retail. Subsequently, businesses need to heighten their focus more on cybersecurity. Dimension Data meets this need through its enterprise-grade security expertise.

On the networking front, the proliferation of IoT is helping to drive innovation across enterprise networks. Dimension Data reported that, in 2016, the percentage of ageing and obsolete devices in networks fell from 53% last year to 42%. Since 2010, networks had been ageing, but the company’s “2016 Network Barometer Report” revealed that this trend reversed. This can be attributed to companies replacing ageing and obsolete equipment with the new generation of programmable infrastructure, particularly in data centre networks.

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Company Name

Management

Brief

Adaptive adaptive.com

Jeff Goins Chief Executive Officer

Adaptive provides clients with software solutions and valueadding partnerships that deliver a business discipline of data governance, control and innovation to the enterprise.

Axis Technical Group axistechnical.com

Michael Valdes Founder & CEO

Axis Technical Group is a premier technology services firm, Microsoft Gold Partner and trusted business technology advisor to leading companies in the Mortgage, Title, Healthcare, Oil & Gas, Entertainment and Financial Services industries.

Datametica Solutions Private Limited datametica.com

Rajiv Gupta CEO Dr. Phil Shelly President

DataMetica is a leader in Big Data & Analytics space providing end-to-end service delivery in Big Data across sectors like Retail, Insurance, Healthcare, Financial Services, Manufacturing etc.

Dimension Data dimensiondata.com

Jason Goodall Group Chief Executive Officer

Dimension Data, a globally-recognized brand helping organizations deliver better business outcomes and accelerate their ambitions by providing technical expertise in all relevant technologies including data centers, networking, cloud and cybersecurity.

Lunarline Inc. lunarline.com

Waylon Krush Co-founder & CEO

Lunarline provides customers with strategic solutions to ensure the data they store, transmit, or process is secure right from the beginning.

NorthBay Solutions LLC northbaysolutions.com

Brian Barker CEO

NorthBay is a cloud big data and corporate mobile development firm focused on helping companies extend their brands and achieve brand engagement and loyalty from customers, partners, and vendors.

Reltio reltio.com

Manish Sood CEO & Founder

Reltio Cloud delivers enterprise data-driven applications together with a modern data management Platform as a Service (PaaS), guiding customers to take the right actions, based on the right insights, to achieve the right results.

TechnoBuddy technobuddy.in

Gaurav Kumar Director

TechnoBuddy is one of the best and trusted Engineering based Pre-Recruitment Company in India for Job-seekers, Students, and Professionals.

TelExcell Information Systems telexcell.com

Mahendra Lalwani MD

TelExcell is pioneer in the Wireless & Telecom market involved in Value Added Distribution and System Integration business and Public Wi-Fi with track record of launching most innovative Wireless, Access Control, Security, Surveillance, Networking and Storage products.

WonderBi wonderbi.com

Nikhil Gundale Founder

WonderBi is a Mobile First interactive data analytics solution provider that delivers business insights which enable business users to take smart ‘in the moment’ decisions.

BIG DATA:

Data Talk

Transforming Businesses Altogether

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ata are currently woven into each sector and function in the worldwide economy, and, like other fundamental elements of production such as hard assets and human capital, a lot of today’s economic action couldn’t take place without them. The use of Big Data — vast pools of data that can be united and investigated to perceive examples and settle on better choices — will turn into the premise of competition and development for individual firms, enhancing efficiency and creating significant value for the world economy by diminishing waste and expanding the quality of products and services.

As of recently, the deluge of data flooding our reality has been a marvel that presumably just energized a couple of data geeks. Be that as it may, we are currently at an inflection point.

The history of past trends in IT investment and innovation and its effect on competitiveness and profitability highly recommend that Big Data can have a comparable power, and to be specific, the ability to change our lives for the better. Similar preconditions that permitted past waves of IT-enabled innovation to control efficiency, i.e., innovation advancements followed by the adoption of complementary management services, are set up for Big Data. And we expect providers of Big Data technology and advanced analytic capabilities to have at least as much continuous effect on profitability as providers of different sorts of technology. All organizations need to take Big Data and its ability to make value seriously if they want to contend. For

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instance, a few retailers embracing Big Data see the possibility to increase their operating margins by 60 percent.

Big Data: Another Upper Hand The use of Big Data is turning into an important route for driving organizations to beat their companions. In many businesses, built up contenders, as well as new contestants, will use data-driven systems to enhance, compete, and capture value.

Big Data will make new growth opportunities and entirely new categories of organizations, for example, those that aggregate and examine industry data. A significant portion of these will be organizations that sit amidst massive data streams where data about items and services, purchasers and providers, shopper preferences and intent, can be caught and analyzed. Forward-thinking pioneers across sectors should start aggressively to construct their associations’ Big Data’s abilities.

Moreover, the sheer size of Big Data, the continuous and high-frequency nature of the data are likewise vital. For instance, ‘nowcasting,’ the capacity to evaluate measurements is winding up more utilized, adding vital energy to forecast. Correspondingly, the high frequency of data enables clients to test theories in close constant and to a level that was never possible before.

| July2017 |

Data Talk Understandings around data security and privacy are only one obstacle that governments and organizations need to overcome, if the economic benefits of Big Data are to be figured out. One of the most squeezing challenges is a critical lack of individuals with the abilities to analyze Big Data. By 2018, the United States alone could confront a deficiency of 140,000 to 190,000 people with deep analytical training (in statistics or machine learning) and other 1.5m individuals with the managerial and quantitative skills to have the capacity to outline and decipher investigations adequately enough to base decisions in light of them.

The Value that Big Data Creates If the U.S. healthcare framework were to utilize Big Data innovatively and viably to drive proficiency and quality, the sector could make more than $300bn each year. Almost 66% of that would be an 8 percent decrease in U.S. healthcare expenditure. In the developed economies of Europe, government administrators could make more than €100bn ($123bn) in operational productivity improvements alone by using Big Data – and that is excluding using advanced analytic devices to diminish fraud and mistakes, and lift the collection of tax revenues.

However, it’s not simply organizations and companies that remain to pick up from the value that Big Data can make.

Shoppers can likewise receive very noteworthy benefits.

For example, clients of services empowered by personallocation data can catch $600bn in customer overflow.

Taking smart routing using constant traffic information is a standout amongst the most heavily used applications of individual-location data. As the penetration of smartphones increases and free route applications are incorporated into these gadgets, the use of smart routing is probably going to develop.

By 2020, more than 70 percent of cell phones are required to have a GPS ability, up from 20 percent in 2010. By and large, the potential worldwide estimation of smart routing through time and fuel savings will be about $500bn by 2020. This is quite equivalent to saving drivers 20bn hours on the road, or about $150bn on fuel consumption, and 10 to 15 hours each year for every traveler.

| July 2017 |

There are additionally numerous technical issues that should be resolved to benefit as much as possible from Big Data. Legacy systems and incompatible standards frequently prevent the incorporation of data and the use of the more advanced analytics that make value. At last, making use of the foremost digital datasets will demand the get together of a technology stack from computing and storage through visualizations and analytical programming applications.

Most importantly, access to data needs to widen.

Progressively, organizations should get data from outsiders, e.g., business partners or clients, and coordinate them with their own. An essential competency for data-driven organizations, later on, will be the ability to make compelling value propositions for others, including buyers, providers and conceivably even contenders, to share data.

In the event that looks far-fetched that data sharing will happen regardless of the potential for societal advantages (a market failure), lawmakers may then have to step in.

As long as organizations and governments comprehend the potential of Big Data to deliver higher efficiency, better value for purchasers, and the next wave of development in the worldwide economy, there ought to be a sufficiently reliable motivator for them to act robustly and beat the hindrances to its use.

By doing as such, they will unleash avenues to new competitiveness among organizations, with higher proficiency in the public sector that will empower better services, even in obliged fiscal times, and subsequently empower firms, and even entire economies to be more productive.

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Adaptive: Turning Your Instincts into Real-time, Fact-based, Actionable Intelligent Data

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any organizations are in a mad rush to leverage exciting, new technology to capture and run analytics on data for a variety of reasons. The issue they are facing is that there is limited governance to these processes and organizations are running into concerns on the accuracy of the data and implementation of processes that scale with proper stewardship. Organizations are at risk as they are not protecting or auditing the data due to this rush and constant analytics. A strategic plan for big data adoption within the business intelligence environment will balance the need for agility in adopting innovative big data analytics methods and data management architectures in ways that are aligned with corporate vision and governance.

Adaptive, Inc. is a global company, headquartered in Aliso Viejo, California, providing the most comprehensive data governance and metadata management platform available today. The firm is a market leader with a long history of helping organizations to adapt and support the rapidly changing business and IT environments, which are driven by the ever-increasing demands of compliance, regulatory pressures and governance requirements. Adaptive provides innovative solutions that enable governance and enhanced analytics on managing data on a holistic scale. Their clients span across various sectors including banking/finance, insurance, healthcare,

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retail, transportation and government entities.

The Adaptive Framework As the name indicates, Adaptive readily adapts to an enterprise’s technical landscape or ecosystem, as the firm works with many different technologies to complement the existing processes, without replacing anything.

The Adaptive Business Glossary Manager (BGM) is one such solution that offers a framework to assist enterprises with defining and communicating consistent business vocabulary and aligning glossary terms to standard language definitions. By directly referencing entities that represent the corporate hierarchy, processes, and data, BGM provides traceability and a “semantic perspective” of organizational execution and contributes to improved data governance while substantially reducing the compliance risk.

The company’s first product was their Adaptive Enterprise Architecture Manager (EAM) platform that enables organizations to model and manage strategy, process and information

technology throughout the enterprise.

The Adaptive EAM product line provided the pathway to their Metadata Manager Product line. The ability to semantically capture information sources and automatically associate the relationships with other concepts enabled enhanced analytics and governance for their valued clients.

A Self-taught Leader of Adaptive Jeff Goins has been the Chief Executive Officer of Adaptive since April 2017, and he has also held various leadership roles in the company before that. His career spans over fifteen years in the technology industry, specializing in methods and technologies utilized to capture an organizations most important asset ─ knowledge. Jeff has also formed many global alliances throughout his career.

Equipped with experience and expertise to understand the business and the technical issues, Jeff creates a vision for developing products and service offerings that address organizational issues in a repeatable manner. He has been actively involved in developing and implementing strategic planning and business process improvement initiatives, including large transactional and decision support systems. He works with both commercial corporations and government organizations in developing architectural frameworks to assist with key strategy implementation initiatives. Academically speaking, Jeff holds a Bachelor’s degree in Finance | July2017 |

and Business Administration from Virginia Commonwealth University.

Providing Peerless Platform for Organizations Many Big Data centric programs are dumping data into Hadoop or graph centric databases without understanding the source of the data and/or if the quality of the data is accurate and governed properly. Adaptive provides a unique solution to this problem with the ability to integrate business, technical and operational metadata.

Adaptive provides a platform that harvests and parses metadata from many different sources which includes data modeling, ETL, Legacy, Business Intelligence and Big Data platforms.

They stitch the relationships between these sources providing end-to-end data lineage analytics and governance.

Providing Transparency for the Clients’ Data Adaptive provides a robust platform that fits within the existing technology ecosystems that enables organizations to understand how data is governed and analyzed on a universal scale. It is critical to understand risk, security, data retention and privacy controls. The company ensures organizations are meeting regulatory mandates properly.

Furthermore, the company is in a unique position wherein they’re the only providers of technological platform that strictly adheres to the many standards set in the marketplace today. Moreover, Adaptive’s CTO sits on a number of these boards ensuring that these strict standards are implemented into the Adaptive offerings.

In addition to their hosted web-based, highly-flexible solution platform, Adaptive offers access to a world-class professional services team that provides training, consulting and mentoring around metadata management, data governance, data quality and enterprise architecture. | July 2017 |

Jeff Goins Chief Executive Ofcer

“

Management of corporate data comes with odds and ends; we eliminate the risky, time-consuming and expensive side of Data Management

“

Adaptive’s platform also enables organizations to capture and maintain its business glossary and ontologies that can be leveraged as a “single point of truth” for managing definitions, rules and proper stewardship on the data. Analysts and stewards, for example, can determine if any field in a report or contract term is among a term governed in the glossary or ontology.

Adaptive also captures the technical metadata automatically to ensure accuracy. This enables understanding of where there are inconsistencies, redundancies and risks with managing data assets on a holistic scale.

Adaptive also works with many consulting groups supporting their practices as well.

Envisioning Constant Growth Adaptive will continue to scale and grow in terms of both revenue and staff through their market leading product offerings and also will be announcing acquisitions that augment its product strategy. They will continue to leverage leading underlying technologies such as graph and triple store technologies in their offerings to link the metadata and instance data layers providing real time analytics. Adaptive looks forward to bringing in content specific to certain vertical markets such as Finance and others.

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Axis Technical Group Helping Businesses Achieve Their Goals

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omputers are the need of the hour, and with the digitalized world expanding, every company needs a software solution that is completely custom built and able to increase productivity. However, building a custom solution is not everything. One needs to integrate the software seamlessly in order for it to work better. Here enters the Microsoft Gold Partner and premiere technology services firm named Axis Technical Group. It is a trusted business technology advisor since 2007 to leading companies in Mortgage, Healthcare, Oil & Gas, Entertainment, Financial Services and Title industries.

Headquartered in Anaheim, California – with offices in Denver, Colorado and Pune, India – their international team provides the sophisticated skill sets and resources of a global consulting firm paired with personal and solution oriented approach. Axis Technical Group offers many professional services to their clients including Custom Application Development, Legacy System Integration and Migration, Enterprise Modernizations, Quality Assurance, Software Maintenance, Project Outsourcing and Staff Augmentation.

The Unsung Hero Michael Valdes, Founder and CEO of Axis Technical Group, has over 25 years of sales and leadership experience in the field of technology, finance, healthcare and retail industries. He is an immensely

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experienced executive with an extremely successful career of building teams and directing several organizations, ranging from small startups to large corporations.

He founded Axis back in 2002. Since then it has been listed as one of the fastest growing companies – in 2007 and 2008 – and was also ranked 77th in the IT industry on the first ever Inc. 5,000 list of the fastest growing private companies in U.S.

When Customer Satisfaction is the Motto Axis ensures that its customers always get the peace of mind that comes with excellent work quality and genuinely dedicated professionals. When their Hybrid Onshore/Offshore Model is utilized, they provide a highly trained, bi-lingual Engagement Manager who serves as the on-site liaison for all client affairs, offshore communication and strategy sessions.

When Axis was hired by Scantron Corporation to lead their Achievement Series Initiative, they were very excited for the opportunity. The solution was to be a data-driven decision-making and reporting tool so their administrator could track and meet federal mandates with ease. The captured data helps teachers while

evaluating key metrics, including student performance and test efficiency.

Then by leveraging their Hybrid Onshore/Offshore Business Model, Axis could develop and test various improved grading options at a lower cost than if it were done exclusively within the U.S. This custom solution helped Scantron and their client with better diagnostics and improved workflow to create and deploy benchmark assessments.

Alcoa, one of their top clients and the world’s fifth largest producer of aluminum, had this to say about their ongoing relationship: “Axis rolls with the punches, listens to our needs and always accommodates us. They are flexible, capable and committed to our success. Other firms make promises; Axis gets the job done.”

Axis has also worked with several leading Healthcare and Dental Services Providers on various challenging products and initiatives, ranging from physician credentialing, medical implant tracking and BI reporting to patient access portals, eligibility systems and claims settlement tracking.

Their clients find a great deal of value in the long-term business relationship they have built, which serves as the foundation for their success and future growth of each company.

Axis prides itself on “Win-Win” situations with its clients. In fact, | July2017 |

another client of theirs, a leading financial services institution, was so happy with the integration and solutions provided by Axis, they provided this testimonial: “We can now offer an innovative and high-tech solution to our clients. The system is faster and more efficient than ever before. It results in more rapid responses from the customers and quicker responses to their inquiries. The result: our portal moves the process along, and everyone wins. We are delighted with the quality of the work Axis had delivered; their implementation has indeed performed on the vision we had for our solution.”

Other satisfied clients and industry giants include First American Corporation, World Vision International, Qualcomm, Yamaha, Monarch Healthcare, Lending Tree, loanDepot, Boston Scientific, Cannon, and Nationstar.

To help companies stay competitive in the ever-changing business technology field, Axis wants to utilize their 15 years of experience and knowledge to establish a tight partnership in your vision for the future.

Handling Critical User Data Microsoft Azure is very critical to many of Axis’s internal and external business process. The company leverages it on a broad range of solutions, products and business usage that provide scalability of client demands and also solves all the needed security purposes. Axis always takes advantage of the prominent, widespread offerings of Azure Batch, Snapshots and Web Jobs to their offerings on Azure SQL, Storage and Active Directory to run an enterprise successfully.

Additionally, Azure has allowed the organization to be nimble and cost-effective by offloading IT requirements, which include management, infrastructure and hosting, to the Microsoft Cloud. This has helped Axis maintain control | July 2017 |

Michael Valdes Founder & CEO

“

We combine the comprehensive skills and resources of a global consulting firm with a personal, solution-oriented approach

“

Picture of Future According to Axis, they are coming off their best year ever (2016) in terms of revenue, while 2017 looks to easily continue that trend. With a solid reputation and quality referrals from existing clients, the company continues to venture into other industries and is positioned to make an even bigger splash in 2018. “It’s always exciting when our values and quality of work are communicated across the verticals, transcends the norms of a business technology firm, and allows us to provide the same quality service to new clientele.”

of its operational output while also leveraging it to benefit their clients.

Making the Industry Better Axis’s Hybrid Onshore/Offshore Model has allowed the company to scale its operations based on the needs of the clients and contribute to incredible growth for all stakeholders involved. Implementing a blended team approach has allowed Axis to leverage the strengths and skill sets of its global consultants which have resulted in delivering smart solutions faster and within the budget of the client.

URL: www.axistechnical.com (714) 491-2636 | info@axistechnical.com

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Chalk Talk

Winning the

BIG DATA Race:

Is It Important to Succeed in Future?

A

s businesses are leaning towards a more technological dependency, the big data race is fiercely contested. Not just huge multinational companies, but small businesses are also churning out data and consuming at an alarming rate. The trend is related to knowledge is power. The simple goal here is: collect lots of data, analyze and process it to generate insights that will give a competitive advantage to the wielder. If the future is truly of Big Data and from this moment it seems like it is, then no organization can afford to be left out while other rivals will have an advantage over them. This is a classic scenario for organizations, where they are scared and excited at the same time.

Companies nowadays are in investment frenzy over data scientists, data warehouses, and data analytics software, though most of them don’t have much to show for. Data as a service model is emerging and organizations are appointing Chief Data Officers to oversee data management.

Large and, publicly available data sets, easier tools, wider distribution of analytical skills, and early stage artificial intelligence software is leading to a burst of economic activity and increased productivity comparable to that of the Internet and PC revolutions. With speed, agility, and innovation determining the winners and losers, Big Data allows us to measure everything quantitatively. Real-time data analysis and pattern recognition are exposing interdependencies and connections that will lead us to see everything differently.

Smarter Analytics, Not Bigger Data It is no longer enough to get only bigger, but getting smarter is the key to go ahead in the race of Big Data analytics. Yes, the growing choice of off-the-peg integration

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products has made data collection more accessible, but it is of no use when large data get unused. Oracle, Microsoft, SAP, and IBM have spent more than USD 15 billion combined on buying software firms specializing in data management. Big data is seen by many to be the key that unlocks the door to growth and success.

Although Big Data analysis is an incredible tool to optimize businesses, it has it’s limitations. Data Analysts tease out correlations to find links between variables. But just because two variables are correlated, it does not mean there exists a causative relationship between them. A good consultancy will help you to figure out which correlation will mean something to the business.

Big Data is used to find correlations and insights using an endless array of questions. However, it’s up to the user to figure out which questions are meaningful and need to be answered correctly. Because much of the data that you need lies behind a firewall or on a private cloud, it takes technical expertise to efficiently get this data to an analytics team.

Sometimes the tools we use to gather data sets are imprecise. For example, Google tweaks its algorithm of searching ways frequently, which will give results likely to be different than other days. Hence, if Google search is used to generate data sets, then the correlations that are derived will change too. Another very important limitation associated with Big Data analytics is the importance of security. The information that is provided to a third party could get leaked to customers or competitors. Eventually, you need to know how to use big data to your advantage in order for it to be useful.

A Future after Big Data Believe it or not, the era of Big Data is coming to a close.

The lingering death of one of the most overhyped and

| July2017 |

Chalk Talk poorly understood terms, since the phrase “cloud computing,” is evident from the fact that many companies have not been able to outdo their expectations, which were hugely based on analytics of Big Data. The reason behind this could be associated with vendors, providing analytics software and services, industry leaders or more importantly the media who got the ball rolling in the first place.

Any established firm offering a storage or analytics product for a tiny or a large amount of data is now branded as big data, even though their technology is as it was 5 years ago. Big data as a technological category is becoming increasingly meaningless, as every industry leader includes the phrase in their talks and repeat it as many times in their pitches.

As the industry develops, there won’t be any single term replacing the Big Data moniker, though there will be different tools and technologies, narrowly focused and highly specialized than Big Data. Some of these buzzwords that might catch attention in the near future are: Smart Data- It’s an emerging pattern in Big Data scene involving the productization of incessant data through predictive analysis. It relies on advanced techniques in statistics and machine learning to recognize and exploit patterns. In essence, companies have stopped relying on humans to interpret data, and are looking forward to machine-captured data through predictive analysis.

Data Science- Data science is a new field that utilizes advanced techniques in statistics, machine learning, natural language processing, and computer science to extract meaning from large amounts of data.

Predictive Analytics- Lingering in relative anonymity for many years, Predictive Analytics is coming in their own.

Core to both data science and smart data, it involves using historical data to predict future events. So, if you can anticipate the future, you can also change it.

There are a vast number of data analysts, working for consulting agencies, using data mining, modeling, and optimization to gain insights into customer preferences, trends and more.

| July 2017 |

Companies have come to rely on these services more acutely nowadays. Even with its limitations, Big Data has evolved the way of doing business in every industry. With every company vying for these services to get an edge over their competitors, the trend of Big Data is not fading out soon, especially while the companies are relentlessly investing in it. While this looks all good and well for sales pitches and publicity, in reality, it is projecting an immensely different picture. Companies, more importantly, small businesses, are not meeting their expected turnover even with the help of Big Data analytics, though this may not be true for major organizations.

Not all Eggs in the Same Basket Understanding what Big Data can do for an organization can be expressed in one word: Knowledge. It equips you with the capacity to make more intelligent decisions, with the competence to streamline and optimize your business, and with the ability to make your employees work better than before. By analyzing the information gathered about your business, employees and customer, you can put yourself ahead in the competition. But this will only work if you know what you are looking for.

Given the success it has had over the last few years, it is no denying that Big Data will be instrumental for any company to succeed. But putting up a caution sign may help companies to tread this path more carefully. Moreover, companies have to start understanding the role of Big Data analytics, if any, in their business strategy and accordingly set up a plan which will lead to success. Besides, companies don’t have to completely depend on Big Data when they have other resources at their disposal.

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Datametica:

Big Data, Big Experience, Big Expertise - Fast

R

ight from Ideation of Data sourcing strategy to a complete data-driven, high end, self-service analytics scenario, Datametica brings in proven implementation methodologies in Big Data space.

Datametica is a leader in Big Data & Analytics space with an unparalleled profound production experience. Right from Ideation to Support, they provide end-to-end service delivery in Big Data across sectors like Retail, Insurance, Healthcare, Financial Services, Manufacturing etc.

With prodigious successful Enterprise Data Hub Implementations and extensive Data Science Implementations for large enterprises and Fortune 500 companies, Datametica has developed time-test approach for Accelerated Development through Reusable Component Repository leveraging Reference architecture, best practices, coding standards, technology frameworks and tools.

Datametica provides wide range of services spanning from Legacy/EDW Modernization, Building Modern Governed Big Data Platform, Data Science & Advanced Analytics, DevOps and Support. In Addition, Datametica has a suite of accelerators (30+) which improves time-to-market, reduces risk in solution delivery and minimizes the total amount of effort & cost spent by an organization.

‘See the Invisible’ Datametica has extensive experience in

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planning, architecting, designing, implementing and supporting large and medium enterprise solutions that ensures customized solutions to meet the industry needs thereby equipping the clients with best of the breed technology stack. Their reference architectures and accelerators cater to specific industry needs and foster seamless delivery and faster time to market.

landscape. Some of their celebrated products are: Enterprise Catalog (Collaborative, Automated, Intelligent Big Data Navigator): A cognitive product that enables organizations with Big Data footprint to understand the complete semantics of data acquired. It optimizes the data value through seamless data governance and socialization across enterprise-class big data platforms.

Features: Metadata Management, Data Lineage, Data Quality, Data Tagging, Data Utilization, Rules Repository, Search, Optimizations, Inference Repository, Analyst Workbench, Business Rule, Navigation, Interoperability, Alerts/Subscriptions & Security.

Distinctive Products Datametica’s products are derived from years of successful Big Data implementation experience to address the client needs. The team at Datametica continuously strives to create and operate service products that focus on decoupling Big Data Storage from the Compute Platform. This has led to deep operational knowledge, patterns, tools and services, with many years of hands-on large-company knowledge, helping clients to be informed, take real decisions through integrated Big Data solutions into an established data management

Eagle (Migration Suite): Get a complete Enterprise Data Warehouse (EDW) offload strategy with detailed business and technical plans by analyzing each object in the data warehouse one after another considering workflow/job flow/usage/data dependencies. Convert EDW workloads into Big Data compatible and perform continuous validation check between EDW and Big Data platform after completion of jobs in both the system. Govern the whole offload solution using a tracker to get a holistic view of the migration program.

Features: Workload classification, migration planner, recommendation engine, total cost of ownership, converter, validator and tracker. | July2017 |

Features: Compute Management, Compute Sharing, Visualization (GUI), Security and Custom Script Report The Diligent Duo of Data Rajiv Gupta, CEO, is an enabler in driving business results and customer engagement at Datametica. With decades of collective experience, he is building and running teams with deep understanding of large-scale production Big Data environments, tools and services showing clients how to integrate Big Data solutions into an established data management landscape. He is an innovative and visionary leader with a track record of fusing corporate strategy, business requirements and technology to generate quantifiable results.

Dr. Phil Shelly, President, brings a track record of executive experience and innovation to Datametica. He is recognized as an industry leader, speaker and educator in the use of Data to drive business results in big data technologies, techniques, advanced analytics and modernization of legacy systems. He lends his experience as an advisor and Director of Datametica to ensure that the Big Data services are aligned with client needs.

Aims to Create a Responsive Innovation System Datametica’s aim is to be the Technology Partner of Choice for forward looking customers by collaboratively

| July 2017 |

Rajiv Gupta

Dr. Phil Shelly

CEO

President

“

Delve deeper, glean actionable insights, and transform big data into tangible business value

“

SelBI (Cloud Analytics Anew): Interactive Analytics Platform on Cloud which enables self-service analytics, empowering users to discover, filter and apply the data.

SelBI ensures compliance, manages the cost of running cloud environments and administers access control.

transforming technology into business advantage. They are constantly reinventing their growth, differentiation and competitive strategies to capture market share and expand channels. Datametica also invests in several ‘firstof-its-kind’ products to target niche markets for distinguished produce.

“Our unique strength lies in our ability to identify the right use cases with a long-term vision. Significant experience in running large business transformational programs and a rich resource pool of functional, and technical Big Data professionals, enables us to deliver Big Data projects with 100% success rate at a faster time to market,” asserts Rajiv. www.datametica.com Locations: US, INDIA, SINGAPORE

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T

he above infographic is astonishing when you really delve into the numbers. The last few years have been quite interesting when it comes to the IoT space.

I have personally taken a back seat and watched how the industry has sprouted, from an embryonic platform to an early catalyst for possibly becoming the next “Skynet� (no pun intended). For some time now pundits have been predicting great things for the Internet of Things (IoT),

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| July2017 |

CXO Standpoint from smart cities and smart homes to smart energy grids, driverless cars and autonomous robots. What is in no doubt are the number of “things” that now have “connected capability”, and it is rising fast; according to one leading analyst, 6.4billion connected things will be in use by the end of this year, an increase of 30% from last year, meaning 5million new things are being connected up to the internet every single day. The term internet of things (IoT) was coined round about the turn of the millennium and is widely held to mean the connection of “things”. There are a number of factors driving IoT. First, consumers are demanding greater convenience, speed of delivery and personalisation of the goods and services they consume. There are also other drivers for the IoT explosion we are witnessing.

The costs of infrastructure are on a downward trajectory. Sensors are becoming smaller, cheaper and more energy efficient and battery life is improving. The further innovation of cloud computing platforms and the emergence of specialised IoT services on them mean that the data collection and analysis necessary for wide scale deployment are more accessible.

Here you can see one infographic from Deloitte in 2014 that shows the value they analysed for smart homes and smart cars.

Interestingly enough these percentages have not differed too much till now.

Is IoT Fact or Future?

IoT is right at the top of the “hype” cycle and firmly perched to what everyone is talking about. Mckinsey & Co predict that the economic impact of the IoT could be between $3.9tn and $11.1tn per year by 2025. That is a huge industry considering it was only born 16 years ago.

Adrian Hinrichsen Marketing & Business Development Director, Datumize

| July 2017 |

One of the main question I get asked a lot is “where do you see IoT making the most advantage”? Currently the top industries are

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domestic/leisure, utilities/energy and transport/automotive.

At Datumize we are seeing traction in all these sectors with each project very much different to the next. Our everyday environment is changing, sometimes without us even noticing, however our lives are being made easier for it.

Although we are moving quickly to an IoT environment, we are also facing “Barriers to connection”, where businesses and consumers do not share the same vision of IoT. One suspicion is the concern for security and how IoT technology could be hijacked and manipulated by those for ill intent. Other factors are more technical in nature, and seem to be around operating systems, pricing and current offerings. All of these factors will have to be overcome if we are to achieve the holy grail of “smart Cities” and connection of things.

In Conclusion IoT is a concept which is no longer discussed only by technical scientists, it has very much moved into the mainstream. Certain industries have embraced IoT more

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than others, for example domestic/leisure, utilities and transport are leading the way. We are all consumers and citizens, and a great deal of education needs to occur before the reality of IoT is understood and accepted by us at large.

Data is the key to IoT and organisations seems to want to get their hands on that “Dark data”, but do not know what to do with it once they have it, or how to turn it into a value for their business. It is here that obstacles occur in our everyday business environment as the resources needed have currently not been implemented into the infrastructure and this will not happen until businesses understand the value that is passing them by on a daily basis within their organisation.

IoT is potentially the most exciting technical revolution to have happened in a long time, and if we are able to help businesses and consumers connect in a smarter way, help build the resources and infrastructure to support this new environment, then the way we live and work will change forever, in a very positive way.

| July2017 |

LUNARLINE: Light and Direction to Solve Cyber Issues with Big Data Analytics

Y

ou’ve probably heard it before—companies have to protect themselves against all kinds of attacks. But an attacker only needs to have one successful attempt.

With those odds, you can’t just try to prevent attacks from happening. You also need to be able to detect them, and respond—fast. Lately, the most effective defenses against cyber intrusions are Big Data and Analytics.

Better, faster, actionable security information reduces the critical time from detection to remediation, enabling cyber warfare specialists to proactively defend and protect your network. In early 2004, Lunarline, Inc., was developed to help solve a colossal security problem prevalent in both the government and private sectors: systems and software were being designed, developed, and deployed into sensitive environments, and then security was added as an afterthought, if at all.

It’s data that’s getting stolen, but it’s also data that can come to the rescue.

You just have to know how to use it in the right way. Lunarline was created to provide solutions and securities to the people for all the data they store, transmit, or process.

Promising ’Solutions Built on Security’ Most of Lunarline’s clients are flooded with cyber security information.

Hidden in all that data are tiny indicators of compromises, little traces

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of evidence that something may be amiss. They help their clients work with massive security data sets by using their proprietary capabilities to process “Big Data” and turn it into “Small Data” with a high degree of operational security relevance. This is the data that uncovers security and privacy issues within and outside the customers’ enterprises.

As an official Third Party Assessment Organization (3PAO), Lunarline is uniquely qualified to independently validate and verify that all FedRAMP requirements have been met.

Lunarline’s Cloud Security Consultants develop a cloud security strategy roadmap designed to guide customers through the security and privacy concerns of cloud computing and help them to implement a secure cloud strategy.

Assisting Clients throughout the Mission In the world of cybersecurity all the tools work – the problem is that they don’t always work together. Over ten years of perseverance has resulted in refining the process and tools to lessen the gaps with a suite of automation tools that helps currently deployed security and privacy tool investments work together more effectively. This is a force multiplier for the client’s staff, freeing them to focus on driving continuous improvement in their security posture.

One of Lunarline’s specialties is the delivery of managed security services.

If their customers do not have the staff or specific talent they need in cyber or privacy then Lunarline can augment or even help them train and build their teams. As an example from their Healthcare security practice, Health-IT clients have very limited staff that is focused on ensuring quality patient care. So they count on Lunarline to augment their security staff or even take over the security and compliance operations.

A Resolute Innovator Lunarline’s Hacker-in-Chief, Waylon Krush, Co-founder and CEO, is not the sit-at-his-desk type. He’s happier out in the field, helping clients fight back against an ever more threatening cyber world.

Prior to becoming Lunarline’s fearless leader, Waylon was a senior information security engineer in AT&T’s Advanced Systems Division and chief of the information assurance group for GRC-TSC. A veteran of the US Army, Waylon held various Inteland security-related technical and leadership roles, including service as the lead technical member of the Land and Information Warfare Activity Information Systems Security Monitoring, Vulnerability Assessment Blue Team, and Red Team.

For his contributions to National Security, he was named a Knowlton | July2017 |

Award Winner, one of the Intelligence Community’s highest honors. He was also recognized as the 718th Military Intelligence Soldier of the Year, the NSA Professional of the Quarter, received the Voice of America Award, and is a two time winner of the American Legion Award. Waylon’s service to the country inspired him to create Lunarline’s Warrior to Cyber Warrior (W2CW) Foundation.

The program helps nation’s returning servicemen and wounded warriors bridge the gap between military service and a career in cyber security.

Lunarline’s Team and Techniques The Managed Active Response (MARS) Team operates 24x7x365 to protect both their networks as well as their managed security customers. This elite team of cyber professionals has experience in operating the nation’s most challenging cyber environments. They’ve quarterbacked DoD cyber operations in theater and behalf of nearly every Combatant Command.

Their team supervises regular software assurance testing, vulnerability assessments and penetration tests against the platforms and tools that process, store, manage or transmit their customers’ data. They also often write custom blocks, configurations and patches if a vendor or 3rd party fix fails to meet their standards, and provide this as a service to their clients.

As a security company they also maintain a very rigorous process for encrypting sensitive data in-transit and at-rest within and outside of their organization which helps ensure not just confidentiality but also integrity of their data.

| July 2017 |

Waylon Krush Co-founder & CEO

“

We deliver consistent value to attain total customer satisfaction through superior products and services

“

Managing Data Professionally Lunarline has developed a suite of automation tools that quickly sift through large disparate data sets to isolate indicators of compromise and even insider threat issues the customers, their VIPs, their brands and/or their enterprises face.

They have made significant investments in security and privacy automation platforms that have really become a force multiplier for their security and privacy tech-enabled and managed services. As an example, they have created a world-class cyber security and privacy training capability within the Lunarline School of Cybersecurity (SCS). This allows them to keep their customers on top of the latest security policy and technical issues that challenge them and their staff daily.

Future Aspects Lunarline plans to integrate their suite of tools across the company, including their cyber hunt, threat, malware, vulnerability configuration, and pen testing suite, so that they can become force multipliers for their customers’ security operations. Lunarline will continue to push their security and privacy automation, training, testing, and proactive monitoring/response services to support customers as they evolve increasingly through their sensitive operations over the cloud.

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NorthBay Solutions: Empowering Data Driven Business

T

he concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it. The Big Data and Analytics market is in a state of massive transformation from onpremises to cloud-centric enablement.

Companies today are seeking to implement self-service business intelligence solutions that dramatically reduce the burden on IT, eliminate shadow IT groups while putting the power of analytics in the hands of the end-users, and enables both business scale and agility.

The adaptive data methodology will drive business operations, rather than simply reflecting performance. The new benefits that big data analytics brings to the table, however, are speed and efficiency. Whereas a few years ago a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. The ability to work faster – and stay agile – gives organizations a competitive edge they didn't have before. Delivering rapid time-to-value for the clients with a combination of Agile Big Data methodology and a highly effective teaming model, NorthBay Solutions is a global provider of mobile, big data,

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and enterprise web architecture, user experience design and application development services and solutions.

Improving Strategic Planning and Analysis Established in 2010 and based in Boston, NorthBay is the pre-eminent full-service big data, analytics and business intelligence professional services firm helping Fortune 1000 companies retool or (re)create their business to exploit the new capabilities offered by the AWS Cloud. The company architects, designs and develops enterprise-class Mobile, Web, Social and Big Data solutions for some of the world’s most innovative start-up companies. They also cater their services to some of the world’s largest companies including EMC, Cisco, Ariba, Interwoven, PTC, PWC, TVGuide, St Paul Travelers, Johns Hopkins, Duke University Law, Random House, Los Alamos National Laboratories, JP Morgan, Deloitte & Reuters.

To repeatedly deliver excellence the company launched its own NorthBay University in early 2012 on the NorthBay campus. Wherein each new team member spends the first 90 days of their career at NorthBay University solving real world problems. Most senior team members refresh their skills at NBU as technology evolves and the needs of their customers change. These collaborative efforts by

the team and the organization help their clients to achieve time-to-market advantage, drive technology innovation, and gain economical access to world-class software engineering resources globally.

Proven Expertise - customer success NorthBay has earned the highest level of certification from Amazon Web Services that includes its Big Data Competency, Education Competency and Mobile Competency. In addition to these broad and challenging accreditations NorthBay has also achieved highly sought after-key certifications in Amazon Redshift, Kinesis, Lambda, DynamoDB and Machine Learning. They leverage these unique skills by partnering with their client organizations via their OneTeam Model. To further support the rapid time-to-value paradigm NorthBay has a series of packaged service offerings that afford customers with the opportunity to take advantage of a fixed time and fixed budget engagement. Their customized solutions for clients have span numerous industries including healthcare, media, mobile & social gaming, financial services, retail, technology, education, and publishing.

Strategist and Technologist A brilliant strategy, a blockbuster product, or breakthrough technology can put you on the competitive map, but only solid execution can keep you | July2017 |

there. Brian Barker, CEO at NorthBay, is a technologist with an ability to think strategically as well as the drive to focus and produce organizational growth on a daily basis. He has over 25 years of experience in the computer software business. Prior to NorthBay, Brian was a Director at EMC Corp.

He also served stints as CEO of Cambridge Technology Vision, an M&A SaaS vendor acquired by Intralinks & was President of ClearSpring Technologies, an event driven management software vendor acquired by Veritas.

Evolution of the Revolution in Big Data Market NorthBay was early to the Big Data market and as a partner of AWS. When they started, organizations had not yet embraced the Cloud in a meaningful way. Consequently, the interest in AWS big data solutions was limited to predominantly proof of concepts.

During this time, NorthBay focused on a small yet strategic set of Clients and serviced to build expertise and deliver quality solutions in the Cloud Data Warehouse market.

Having been the earliest of partners to use AWS products such as Redshift, NorthBay now has countless customers projects and use cases that can be leveraged to assist new clients to implement their enterprise data platform.

Today, NorthBay’s clients benefit from their hard-won experiences and best practices evolved over dozens of successful implementations of data lakes, data warehouse and related big data initiatives. Whether it regards retiring on-premises data warehouse solutions, or implementing a new Business Intelligence tool, or migrating a database or entire warehouse, their customers realize value rapidly!

Brian Barker CEO

“

We craft big data, mobile & web solutions for premier brands

“

He also has served as Vice President of Sales and Marketing at Synthetic Networks, a network testing vendor acquired by Agilent – Vice President of Sales and Business Development at the mobile software vendor Isovia, Vice President of Sales and Marketing at CambridgeDocs, acquired by EMC and President of OneStone USA, which is a workflow vendor acquired by Lotus Development Corporation.

growing their Machine Learning and Predictive Analytics practice to enable customers with the most advanced machine-generated outcomes. In addition, they are adding key team members Data Scientists to their team as well.

Lastly, they will continue to embrace the Amazon Web Services ecosystem to expand their skills and expertise both technically and from a business outcomes perspective.

Leadership – Growth – and most importantly, Successful Clients NorthBay continues to rapidly evolve along with the market as the needs of clients become more sophisticated. They are | July 2017 |

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Industry Insight

I

n this era of changing technologies, the Big Data domain has evolved in a very short period of time. It plays the most pivotal role across all industries. The ability of Big Data to mine critical data has radically altered the dynamics of the way businesses function, drive sales, and attract customers. It has become an essential component of business strategy nowadays. A business tastes success by uncovering insights locked inside data. The overlaying trends will examine the evolving ways enterprises can realize better business value with Big Data and how improving business intelligence can help transform organizational processes and the customer experience. There is a demand for better data management from most of the business executives for compliance and increased confidence to steer the business. It will help them in more rapid adoption of Big Data and innovative and transformative data analytic technologies.

analytics which will become a major area of investment and will grow swiftly. It is necessary for the enterprises and the government agencies to upgrade their security systems to next-generation software which can address ultra-modern security threats.

Insight-driven Organizations In this present year, businesses will move beyond just data handling to leveraging the insights that Big Data uncovers.

As understanding, managing, and manipulating Big Data has now become fairly ubiquitous, most of the companies have the ability to deal with it. Mining data will be the center of attraction and it will help effectively to meet organizational requirements and for precise targeting of products and services. An insight-driven approach will facilitate an evolved customer experience, competitiveness, advanced security and operational efficiency.

Bridging the talent gap If the demand expands further, the talent gap in data analytics will soar. It is expected that organizations and academic institutions will collaborate closely to generate skills and talent to meet the demand for data engineers. The functions of all corporate employees will be expected to understand, appreciate and work with analytics since it emerges as one of the key instruments in every organization. The academic institutions are also looking forward to put together degree programs in data science.

Cyber security Applications Today, everyone is dependent on the digital technology and our dependence has reached an unprecedented level. Cyberattacks have also become much more prevalent. An increased occurrence of ransomware has been registered across the globe and cyber criminals are now targeting personal data and devices. Concerning the prime industry, cyber security can only be possible through big data

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Analytics across the enterprise It can be said that the analytics will not remain isolated to a few departments like marketing and risk management. On the other hand it will infuse the entire enterprise. To understand the dynamics of business operations, data analytics will be utilized and will also reveal ways and means to increase efficiency. Hence to derive overall business strategy, insights from multiple departments will be integrated and redundant processes will be eliminated. It will also help the departments to increase efficiency, growth, and productivity.

IoT and People There will be a transition from Internet of Things (IoT) to Internet of People (IoP). Interactions, predictive analytics around human behavior, and other subjective areas will grow and start to filter all industry verticals. For example, hospitals will increasingly deploy machine learning techniques to predict the likelihood of the relapse of a disease. This will enable them to work out a patient’s readmission precisely at the time of the initial discharge.

| July2017 |

Industry Insight

Business-science collaboration Businesses will have to learn and deploy traditional, scientific techniques of pattern-matching and artificial intelligence for analytics use cases. For example, techniques to analyze gene sequences in DNA are being used in text-matching algorithms to process bulk emails. It is expected to see very close collaboration between data scientists and the scientific community. For example, image processing is widely used in ‘tagging’ in social media, while voice recognition is used in apps.

Technology There will be brisk moving in the organizations from on-premise platforms to cloud and hybrid environments. Around 44 percent of applications used by Fortune 500 organizations are already on the cloud, and more than 50 percent of IT applications will move to the cloud by the end of the year. There will be a rise in demand for analytics tools that are simple, flexible, and capable of handling a variety of data sources. Hadoop enables to store an extremely large volume of data at a significantly lower price point and hence it will continue to become increasingly popular. The share of unstructured data in the data warehouse will continue to increase, which will further cause for Hadoop. Hadoop, now, is past the business relevance and scalability assessment phase and its adoption is expected to accelerate strongly.

We are advancing towards a completely new era in the domain of analytics. Big data is disruptive and it has paved the way for pioneering ideas and innovative techniques across industry verticals. It is now driving the stream of disruption and expanding the scope of opportunities for previously untouched market segments. Organizations need to leverage Big Data analytics to its full capacity so as to thrive in this competitive world.

| July 2017 |

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Reltio: Providing Reliable Data, Relevant Insights and Recommended Actions

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t’s almost a cliché to say that we now drown in data, but we do.

When an organization intends to use big data to become smarter and more competitive, the standard approach is to modernize its analytical capabilities. The current environment—from mobile apps to social media and other communications channels that seem to emerge daily—now regularly generates data volumes that far exceed all content officially recorded throughout human history. A modern analytical application promises to generate more insight and help you spot new market trends faster than before. But finding insights faster than others in the age of big data is not only about implementing a new piece of visualization software – it’s a transformational journey for people and for the entire analytical process. If we think of analytics as the engine that accelerates a smart organization, then data is the fuel that runs the engine.

Companies have traditionally turned to Master Data Management (MDM) to help them blend data from multiple sources and create consolidated master profile views of various data entities.

But MDM solutions require complex infrastructure and processes, and lengthy implementations, which means business users wait a long time to get any value and end up using off-theshelf solutions or spreadsheets, digging for insights in unreliable, stale, and outdated information. This has led

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many to view MDM as a promise unfulfilled. Enter Reltio, a new leader in data management with a Modern Data Management Platform-as-aService in the cloud, built on a foundation of technologies designed for big data scale. Reltio is a privately held company headquartered in Redwood Shores, California. The company’s mission is to help enterprise users ’Be Right Faster.’

Redefining Master Data Management to Modern Data Management More data, more types of data, and the need to leverage it all to create more business value ─ those are some of the drivers behind enterprise adoption of master data management platforms.

Reltio Cloud pulls in data from all internal, external, third-party and social media sources, including all transactions and omnichannel interactions at big data scale, to provide business users with a complete picture of what’s important to them.

Part of its Modern Data Management platform, Reltio Commercial Graph enables business users to uncover many-to-many relationships between people, companies, and products.

Through this comprehensive Platform-

as-a-Service, enterprises quickly gain access to very rich and reliable data profiles in as few as 12 weeks, compared to legacy tools that can take months or years to deliver results.

Today, Reltio Cloud has hundreds of terabytes of enterprise data under management with billions of multidomain entities and relationships managed in polyglot storage across Apache Cassandra, Apache Spark, graph stores, Elasticsearch, and other technologies. Tens of millions of realtime API calls are made each day, including support for sales and marketing teams accessing data via browser-based UI desktop and mobile business users with real-time synchronization to operational thirdparty applications, and analytical environments.

But Reltio’s innovative solution doesn’t stop there – once a reliable data foundation is created, Reltio Cloud leverages predictive analytics and machine learning to create relevant insights and recommended actions in context with a user’s specific role, and business goals.

A Passionate Technology Impresario Manish Sood, CEO and Founder of Reltio is an entrepreneur with a passion for innovation. He co-authored the patent that revolutionized MDM through a global business identifier and served as the primary architect of some of the most widely used data management solutions in use by | July2017 |

Fortune 100 companies today. He was previously part of the team that developed Informatica MDM, and now he’s back with the Reltio platform, aggressively taking market share from these legacy incumbents.

Sood founded Reltio in 2011 with the mission to enable companies to “be right faster.” Today, organizations of all sizes, including leading Fortune 500 companies in healthcare and life sciences, media & entertainment, hospitality, distribution and retail, rely on Reltio to provide their teams with a complete view across all information sources to help them understand markets and drive revenue opportunities through actionable, real-time predictive insights.

Although Reltio Cloud is a multi-tenant, Modern Data Management Platform as a Service that’s industry agnostic, a significant number of healthcare and life sciences companies rely on Reltio to manage and provide businessfacing, application-level access to sensitive data. Reltio Cloud earned HITRUST CSF Certification status for information security by the Health Information Trust Alliance (HITRUST), underscoring the company’s commitment to keeping data secure for companies in the healthcare and life sciences industries by complying with the most stringent standards.

Envisioning a Data-driven Business Culture Reltio continues to push the boundaries of what’s possible with Modern Data Management. By leveraging predictive analytics and machine learning to continuously improve data quality and matching for MDM, Reltio truly is simplifying data management, and significantly reducing

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Manish Sood CEO & Founder

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Be Right Faster with reliable data, relevant insights, and recommended actions

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Awards and Recognition for Reltio’s Innovation Reltio has been widely recognized by press, industry analysts and insiders for its innovation in data management. Reltio was named a leader in the Forrester Wave™: Master Data Management Q1 2016. Other top industry analysts have noted that Reltio’s innovations are several steps ahead of the market. It has repeatedly been named to the DBTA100 list, which recognizes the companies that matter most in data. IDC also named Reltio one of the 5 top innovators in the Platform-as-a-Service market. Due to its work in healthcare and Life Sciences, Reltio executives are repeatedly recognized as some of the most influential people in those industries.

the arduous data stewarding tasks that are the staple of legacy tools. Other areas where Reltio continues to innovate include collaborative social curation and governance of data, while Reltio’s Data as a Service (DaaS) capabilities fuel an exciting trend coveted by Chief Data Officers to monetize their data.

Reltio Cloud’s Modern Data Management and data-driven applications are fast becoming the gold standard for enterprises which need a modern platform to meet the needs of their dynamic business environments.

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WonderBi:

Empowering Business Users by Delivering Extensive Business Insights on Mobile

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nything that can be measured can be managed, and responsible business executives are on a constant lookout for business insights to make smarter decisions. But limited with only conventional means to examine and analyze data, the entire process gets lagged, becomes inefficient and attracts lots of hurdles. This is where Big Data analytics plays its role; it helps organizations to examine large amounts of data to unravel hidden opportunities and identify valuable insights. Just as computers radically shook the business landscape with its emergence in the corporate environment, Big Data also brings itself a fundamental technological change. One company which has realized the potential of this sector and is harnessing Big Data to provide adequate solutions to companies is WonderBi. Being a Mobile First interactive data analytics solution provider company, WonderBi empowers the user by providing them with the capability to interact with data in the most engaging way.

WonderBi was formed with the idea of delivering business insights that can help business users to make smart decisions ‘in the moment’, irrespective of where they are. Designed in the most humane way possible that doesn’t require great skills for usage and implementation, WonderBi’s solutions can be used by businesses of all sizes.

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With the help of its solutions, business users begin to enjoy data analytics on mobile devices, resulting in better decision-making, enhanced productivity, and eventual business growth. Typically, businesses can leverage the power of WonderBi for sales, production, inventory, logistics, finance, and HR related analytical needs.

Turning Data into Information and Information into Insights In today’s world of rapid technological advancements, businesses in every vertical are generating a huge amount of data from their business functioning.

Whether it be sales opportunities or supply chain and logistics or social media inclination, the data generated is overflowing from all spectrums. It’s a known fact that earlier only a fraction of the data generated was put into use for effective decision making. But with the ongoing sequential transformation of the corporate sector, the needs of businesses have changed completely today. WonderBi is actively making this transformation happen by enabling data to be consumed and analyzed for effective ‘in the moment’ decision making, anywhere anytime. Their mobile first solution has the distinctive ability to take data from multiple sources, be it ERPs/CRMs or IoT solutions, and transform them into consumable and analyzable information on mobile devices in the most engaging and intuitive manner.

The Leader with a Voice, Not an Echo Nikhil Gundale, Founder of WonderBi, is the visionary who led the company to what it is known as today. An MBA by education and an entrepreneur at heart, Nikhil has successfully managed responsibilities at various levels of corporate value chain. With over 17 years of experience within the technology domain creating high-impact solutions for businesses, it should come as no surprise that he possesses a wide list of achievements in his portfolio.

Formerly, Nikhil held the chair of Vice Presidency twice, at Lowe Lintas, said to be one of the largest media houses in the world, and StarTV, which is also one of the largest broadcasting networks across the globe. While working on various international assignments related to BI implementation, he realized that business users are not satisfied with the existing solutions available at the market. This prompted Nikhil to form WonderBi, which understood business requirements and delivered valuable data insights enabling them to make smarter decisions.

Delivering the Essentials and Rising Above the Rest Big Data is truly the need of the hour in the current business landscape, but the ability to analyze using an effective tool by the business leaders and

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executives is of paramount importance. WonderBi breaks the shackles existing within the industry and shifts its focus on the business leaders and executives who can directly start engaging with data, wherever and whenever they need it.

Turning Obstacles into Stepping Stones Big Data has become a cliched term, and organizations have become disillusioned with the solutions that they have employed. This had an adverse impact on WonderBi’s initial days as it was an uphill task for them to convince that their solutions are different and can truly deliver ROI as may have been promised. They overcame this struggle by working as a partner to these businesses instead of just being a vendor. They started with the end goal in a quantifiable manner and assigned customer success manager who worked to ensure these goals were achieved.

This gradually began to foster confidence among their customers, which eventually helped WonderBi to move forward towards a positive direction. It is due to their belief of using technology in a creative manner that has propelled them ahead of their contemporaries and has broughtforward immeasurable success at their table.

Willing to go an Extra Mile – As it is Never Crowded!

WonderBi has a hive of highly energetic and creative technologists and business experts, which they refer to them as “Wonder Bees”. As a process and habit, they keep on researching to find various ways in which data can be

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Nikhil Gundale Founder

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We are on a mission to enable businesses across the globe to achieve greater heights with engaging and affordable business intelligence

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It is also worth noting that the cost of implementing a business intelligence and analytics system is very high and demands huge technological expertise within the organization. Being a SaaS platform, WonderBi comes at a fractional cost as compared to any other business intelligence tools and can be implemented easily within a short period of time. They express the data analytics in a way that even the non-data science business users too can understand the information like a pro. Just like an addictive mobile game, it hooks the business users towards the data analytics and makes it an integral part of their daily business activities.

With such a simple, easy to implement and cost-effective model, even the small businesses can adopt and leverage WonderBi’s sophisticated analytics solutions to yield tremendous opportunities in their respective businesses.

analyzed in a much simpler and engaging way on mobile and tablet devices.

WonderBi’s new introduction is primarily focused on Artificial Intelligence, named EVAA. Slated to be a big launch, it is an innovation that has never been experienced by business users before. The company is even planning to expand their business over to various parts of the world which include APAC, EMEA and North American markets.

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CXO Standpoint

Can Analytics Change the Way Companies Collaborate and Consume Technology?

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an we honestly say that our professional day starts with a morning clearly with intentions as to what we should be doing, how we should be working, whom we should be working with and when should we get things done by? There is an option for all of us that is Analytics. Now, can Analytics combined with smartlyenabled collaboration tools make a difference in how we choose to spend our time?

anyone in the world. Still, we find people spend 50% of their time in the wasteful, ineffec-tual and uninspiring meetings, ruining their fifteen to twenty hours a week. With all the advancements in technology, can’t this ill-favored corporate pastime be executed better?

But to while it comes to save time, I honestly do not think we have mastered the art of collaboration because we still seem to be working harder and not smarter. It seems as though the technology we use works us, more than we work the technology. Why is it that we still find ourselves completing work task the same way we did back in history?

In our personal lives, we definitely have new levels of multitasking and time runs by, but in business have we really gained the most with our utmost precious valued commodity called time?

Technology Collaboration and Consumption The goal has always been to collaborate better. Access to basic information across multiple data sources coupled just in time could enable us to have insights on who we should invite to the meeting, selection of collaboration tools that yield the fastest results and meeting spaces that will generate the best outcome and highest output of participation from key team members during collaboration.

For this new level of collaboration to be the most effective should the information come before you book the meeting or afterwards. At UC Interlink, we think about everyday how to enable IT services engine to yield recommendations with the right outcome, when you’re ready to consume it and way before it turns into another wasteful meeting.

With the right data sources and business intelligence, the options are prescriptive and predictive, and limitless.

Imagine improving your time to market for a new product launch, having absolute focus and team alignment, via tracking behaviors of the team, while getting recommended efficiencies to keep the team working at its best.

We exist in a time where information is accessible at the tap of a button. With the rise of new gadgets, apps on our iPhone and portable devices comes the influx of new “techies.” But, why then we are still stuck with unproductive tasks which no more than a waste of time? In today’s world, we have Instant Messaging at our workstations and even video endpoints to connect us with

With this platform of intelligence, the Business Leaders can target key performance metrics that enable them to devise strategies, because if you are in such a place, then results matter, gaining time matters and the behaviors of the workforce matter. Regardless of the industry or application, incorporating the use of data and analytics provides the organization the ability to move from a defensive to an

Top teams and organizations make decisions every day on how best to achieve their goals, but do we have all of the information required to make the right decisions at the right moment? Will Big data, predictive modeling with connected devices that provide real-time insight be the next new trend to change the way we work?

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Let’s examine how this concept can be used to optimize IT service delivery. By tracking and mapping work patterns, preferences, daily activities, past beha-viors, technology usages, connected devices and networked systems; we can recommend the right tool based on the role of the worker, key performance goals, and business outcomes or even based on defined user experience strategy.

This is what I call the Internet of Things (IoT) personified.

Stephanie Carhee President offensive posture. Currently, we are working on algorithms that can think and recognize patterns, predictions and choices based on the collective knowledge.

Amazon’s Model The list of technology giants that have figured out how to solve the problem of what is best to consume when you need it is a short list with one name at the top of it; Amazon.

Amazon, attributes 40% of its revenue to recommendations the e-commerce giant makes to its customers, based on their search histories and previous purchases. For example, last week when I wanted to add lighting to my walk-in closet, I searched Amazon, not only did my Amazon search, locate the best reviewed product, it also recommended the right size Amazon batteries. This is a simple idea, but has limitless potential that can be applied to how users can consume valued IT resources within the enterprise.

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Companies have to think about how they want to spend their time and investments in software applications.

Purchasing collaboration software tools in isolation is not a silver bullet, but when combined with technology adoption expertise, user analytics and smartly-enabled devices and software, the possibilities are endless. At their core, big data solutions are designed to provide the right information, to the right person, at the right time.

The Road to Business Analytic Adoption Services My personal advice to companies is to stop wasting time and resources, stop making the same mistakes and actually challenge your technology partners to think differently about the outcomes you want. This can be achieved by creating and defining a Collaboration Strategy that will optimize how you do things and empower the best people to deliver their best work.

Here are some Collaboration Strategy best practices •Have intention behind every software tool, work station and conference room than can be enabled by your cloud and

network capabilities •Understand how all of your dipartite software collaboration tools and devices can be seamlessly connected to each other.

•Let the user experience drive your technology decisions and not the other way around.

•Understand the behaviors of every user within your workforce to identify what is working well and what can be improved to obtain a workforce transformation.

•Don’t set out on this journey using only instinct to answer tough questions; rather let the data drive your decisions coupled with experts that know your environment and how to interpret the data to achieve your key goals.

•Use the Internet of Things (IoT) as a strategy to tie unlikely data sources together to make better decision and improvements in the way you work.

•Devise a game plan based on your company’s trends, and vulnerabilities (not obvious by the naked eye) to enable your teams to work smarter and be better prepared than the competition.

•Hold your technology partners accountable to not selling you another technology service or product, rather “incentify” them to deliver an outcome that you can track and measure.

Collaboration at Its Best This kind of business insight will change the game, reduce loss of revenue and take technology investments in collaboration software tools to new levels of value. Let’s face it, our top assets are the people with whom we work.

In the end, technologies are designed to help you work better and get things done in time or we should say save your time and compete to win!

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