December 2018
10 T H E
MOST ADMIRED
ANALYTICS
COMPANIES TO WATCH IN 2018
Professional’s Stance Building a Better Future of Organization with Analytics
KM Nanaiah
Equifax Analytics Empowering Business and Consumers with Incisive Analytics and Pragmatic Business Acumen
Managing Director & Country Leader
Editorial
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ata is “new air” as ubiquitous as air itself. In the world of corporate business ‘data’ is everywhere. Business insights derived from data are becoming vital for survival and success in the business world. Nowadays data volumes are increasing and it has become more complex to optimize digital business decisions. This makes it difficult to determine the most relevant and actionable finding. The number of variables driving an outcome based action is growing to the point where exploring every possible pattern and determining the most relevant and actionable findings is very challenging for the organizations.
Augmented Analytics: Entering Into a New Era of Analytics
Augmented analytics is an approach that automates insights using machine learning and natural-language generation, marks the next wave of disruption in the data and analytics market. It is based on the use of machine learning automation to augment human intelligence and contextual awareness across the entire data and analytics workflow. It enables business users and citizen data scientists to automatically find, visualize and narrate relevant findings, such as correlations, exceptions, clusters, and predictions. Organizations should plan to adopt augmented analytics as platform capabilities mature. Augmented analytics will play important role in delivering unbiased decisions and impartial contextual awareness. From interacting with data to analysis to take relevant action on insights; it will transform business in an amazing way. Augmented analytics is making it easier for expert data scientists and lessskilled citizen data scientists to build an advanced descriptive, predictive and prescriptive model. It is helping expert data scientists to focus on specialized problems and on embedding enterprise-grade models into applications. With the help of Augmented Analytics, organizations will spend less time exploring data and more time acting on the most relevant insights with less bias than is the case with manual approaches.
Abhijeet kakde Abhijeet kakde
Editor-in-Chief Pooja M. Bansal Managing Editor Shweta Priyadarshini Executive Editor Abhijeet Kakade Art & Design Head Amol Kamble Associate Designer Poonam, Shweta Art & Picture Editor Rahul Kavnekar Co-designer Sapana Shinde Business Development Manager Akansha Garewal Marketing Manager Dhruv Apte Sales Executives Snehalata, Tarun, Asif Technical Head Swapnil Patil Technical Specialist Amar, Pratiksha Digital Marketing Manager Prashant, Rahul SME-SMO Executives Swati, Manoj Circulation Manager Tanaji sales@insightssuccess.com
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Cover Story 08
Equifax Analytics Empowering Business and Consumers with Incisive Analytics and Pragmatic Business Acumen
Articles CXO 18 Expert Insight Knee Deep in Data
22 Business Archive Stepping towards Better Business World with analytics
28 ‘Data’ Preneurship Moving towards Data-Driven Entrepreneurship
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The Founder Talk Building a Better Future of Organization with Analytics
36 Tech-trends The New Layer of Trends in Data Analytics
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16 Artivatic Data Labs
Building Intelligent Systems for Automates Decision-Making 26
Decisive Analytical Systems Analyzing Customer's Interaction through Deep Analytics
34 E2E Research Prominent Industry Leaders focusing on Research Services, Analytics and Technology Solution
40 Finarb Analytics
Data Science Consulting Firm Providing end-to-end Data Solutions
42 Videonetics A Pioneer in Visual Computing Platform powered by AI & Deep Learning Framework
THE 10 MOST
ADMIRED
ANALYTICS Companies TO WATCH IN 2018
Analytics: Quickest Way to Get Biggest Impact
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he amount of big data being collected worldwide is increasing exponentially. Fields like data science, artificial intelligence, data intelligence are transforming businesses in an amazing way. On account of globalization and rise in competition, it has become vital to lookout for expert data professionals to survive and grow in the market. As India is witnessing a tremendous growth in analytics, what can be a better way than recognizing the industry stalwarts who are contributing distinctively in analytics? In this edition, we introduce “The 10 Most Admired Analytics Companies to Watch in 2018”, in order to assist businesses to choose their right analytics companies. Assessing the scenario in versatile perceptions, our magazine has brought light onto the companies, who have flaunted excellence in providing technologically advanced analytics solutions. This list showcases the analytics companies which are creating a better ‘Analytics’ world. In this issue, we have specially featured Equifax Analytics as cover story. Equifax is analytics firm which combines robust data, analytics and advanced technology to provide actionable insights to businesses to make better business decisions. Finarb Analytics Consulting is a data science consulting firm providing end-to-end analytics-based services to clients across the globe. Videonetics Technology is a visual computing platform development company. Artivatic Data Labs is an AI Enterprise Tech Platform built on Genomic Science, Psychology and Neuroscience Capabilities to automate the decision-making, prediction, personalization and recommendation in real time. Decisive Analytical Systems is a Mar-Tech company based in Bangalore, India. E2E Research Services plays a leading role in providing powerful data analytics, timely data insights, and unbiased science-based solutions. Object Technology Solutions India offers big data enablement via partnerships and disruptive solutions with big data and analytics as a service. Transorg Analytics provides fast, flexible and cost effective analytics solutions that solve complex business problems. Bristlecone offers supply chain, procurement and analytics solutions that produce higher performing and more profitable environments. Drive Analytics is an artificial intelligence solution company that excels in semantic analysis of visual data (images and videos), and blending in state of art analytics to solve real-world problems for businesses. Our in-house editors have come up with some adroitly written articles such as Moving towards Data-Driven Entrepreneurship, The New Layer of Trends in Data Analytics, and Stepping towards Better Business World with analytics. We have included article like Building a Better Future of Organization with Analytics written by Ashutosh who is the Founder of datapotential.com and Aselector.com, also we have included article- Knee Deep in Data written by Saurabh Moody who is the Founder & CEO of Realbox Data Analytics. It’s time to flip the pages and enjoy analytical experience with a feeling of reading pleasure!
COVER STORY THE 10 MOST
ADMIRED
ANALYTICS Companies TO WATCH IN 2018
KM Nanaiah
Managing Director & Country Leader
Equifax Analytics Empowering Business and Consumers with Incisive Analytics and Pragmatic Business Acumen
T
echnological innovations are changing the way that organizations do business. We are living in a data-driven society where numerous tools are available to track customer habits, preferences, and purchases. With recent technological advancements, it is possible to examine large amounts of data to uncover hidden patterns, correlations and other insights. Analytics helps to get timely insights for making decisions about fleeting opportunities, precise answers for challenging problems and uncover new growth opportunities. Today, business analytics plays a vital role in all areas of business. Globalization has led to a rise in competition and it has become necessary for companies to be customer-centric, predictive and highly efficient in order to survive and grow in the market. As the workplaces become more tech-driven and fast-paced, the importance and role of analytics companies are increasing day by day. Equifax Analytics Pvt. Ltd. (EA), a wholly owned subsidiary of Equifax Inc., is one such organization which is driving the profit of the clients through incisive analytics and pragmatic business acumen. It is a global information solutions company that uses the unique data, innovative analytics & technology and industry expertise to power organizations as well as individuals around the world. It transforms knowledge into insights that help their clients to make more informed business and personal decisions. KM Nanaiah is the Managing Director of Equifax Credit Information Services Private Limited (ECIS, an affiliate company of Equifax Inc.,) and Country
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Our data assets along with technology enable our customer to make better business decisions
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Every day, around the globe, we are powering the world with knowledge Leader of India & MEA region of Equifax’s business. He is responsible for providing leadership and oversight for both the Bureau (ECIS) and Analytics businesses (EA) in India. He has proven skills of having built a high-performance organization, setting up processes, implementing controls and introducing innovative solutions to create success patterns and improve operational efficiency. Promises better Business through Innovative Analytics and Technology Equifax is a differentiated provider of high-velocity analytics and business intelligence solutions that help enterprises globally to measure monitor and manage their business levers effectively. The company works with clients across various industries such as Banking, Insurance, Telecommunication, and Retail and constantly strives to add value through sharing cross-domain best practices. The company has been much appreciated for its ability to blend incisive analytics with the pragmatic business acumen to deliver cost-effective solutions. Headquartered in Atlanta, Equifax operates across twenty-four countries in North America, Central, and South America, Europe, and the Asia Pacific region. It is a member of Standard & Poor& (S&P) 500® Index and its common stock is traded on the New York Stock Exchange (NYSE) under the symbol EFX. With more than 117 years of experience, Equifax employs 11,200 employees worldwide.
In 2014, Equifax further grew its footprint in India through an acquisition of an analytics firm. Equifax Analytics Private Ltd. is Equifax’s fully owned analytics entity in India, which delivers unparalleled customized solutions that enrich both the performance of businesses and the lives of consumers. Backed by its global expertise, EA’s goal is to assist lending institutions to manage risk efficiently through a combination of data and robust analytics. The company's unique insights help lending institutions to make better business and credit decisions. It uses global proprietary tools which are customized to meet requirements of Indian market. With a combination of differentiated data, the expertise in advanced analytics, the state of the art industry solutions, and the leading-edge proprietary technology, EA has the unique capability to offer best-in-class offerings to its clients. Achieving Milestones Over the last decade, Equifax has developed the best and most unique data in the world to help businesses make
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We provide better insights, greater exibility, and faster time to market
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Equifax operates in India through Equifax Credit Information Services Private Limited (ECIS) and Equifax Analytics Pvt Ltd (EA). The credit bureau, ECIS, a joint venture between Equifax Inc., USA and six leading Indian financial institutions started operations in India in 2010. Over the last eight years, the credit bureau has grown to thousands of members which includes banks, NBFC’s, microfinance companies, and insurers. Many of these members provide data on repayment information on millions of Indian consumers.
Our Scalable analytics and benchmarking solutions have delivered meaningful and measurable results
the right decisions for their customers. Coupled with leading analytics capabilities, the company delivers the knowledge that provides better insights, greater flexibility, and faster time to market. At the same time, it also helps consumers by providing their own credit information report, credit score and tools they need to make better financial decisions. Equifax is the group of creative and talented problem solvers motivated by helping others to achieve their goals. They are individuals who embrace technology and the processes that have a history of positively impacting the world. Equifax is recognized in Top 100 American Banker FinTech Forward list (2015-2016). It is among Top Technology Provider on the FinTech 100 list (2004-2016). The company is InformationWeek Elite 100 Winner (2014-2015). It is recognized by Atlanta Journal-Constitution as Top Workplace (2013-2017) to Work. It is named as World’s 100 Most Innovative Companies (2015-2017) by Forbes’. Powering the World with Knowledge Equifax Analytics is one of a few Indian analytics companies which is focused on serving Indian financial services instead of focusing on serving international customers. With the associated company, the credit bureau, the company can bring industry-wide data and insights to Indian customers.
The firm’s analytics and benchmarking solutions help organizations to understand where they are today, and empower them to take control of their future which is based on meaningful information. The company has flexible technology to analyze, predict and understand the impact of evolving trends related to employment, fraud, strategic markets, and credit. It uses knowledge to create new opportunities that enrich customer lifetime value, employee engagement, and profitability. The company’s scalable analytics and benchmarking solutions have delivered meaningful, measurable results. Customer-based Philosophy
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Our understanding of data and the capability of advanced analytics is enabling us to provide the insights
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to help customers make data-based decisions
Businesses are built around customers. It is important to identify the right potential of the customer for successful business. With its deep knowledge and ability to use credit bureau data, the company is providing the right services to the right customers. The biggest difference between Equifax and other companies is that the company has access to credit bureau data after getting requisite authorizations from the respective financial institution. Together along with credit bureau, Equifax is dedicated to providing unique analytical services to banking and financial services. It has its unique data asset to make better decisions. The company is appreciated for the way in which it understands the business problem to give real solutions with help of analytics. The Journey towards Flourishing Future Analytics is one of the fastest growing industries in the world. Analytics is not just about the statistics and mathematics. It’s about understanding the business aspects with help of Technology. The Company is moving forward with an aim to bring cutting-edge analytics techniques like Machine Learning, Big Data, and Artificial Intelligence to customers. With cutting-edge technology, the Equifax will continue to solve financial industry challenges like New to credit, Fraud, digital lending, and employee verification. The company is dedicated to aggregate new alternate data sets to provide new insights to customers in coming years.
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ARTIVATIC DATA LABS: Building Intelligent Systems for Automated Decision-Making
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eadquartered in Bengaluru, India, Artivatic Data Labs is a young, dynamic company which builds, licenses and sells its proprietary human-brain like AI systems. It is an end-to-end AI infrastructure platform built on deep-tech, machine learning technologies with in-depth analogy of genomic science, psychology and neuroscience. It enables BFSI (Banking, Financial services and Insurance) and Healthcare sector to have in-depth multi source data-focused consumer risk profiling, credit risk scoring, recommendation & personalization, automated underwriting & decisions, health & disease prediction, claims processing, fraud detection, digital data-based risk scoring and document digitization. Artivatic’s sheer determination has helped it to develop more than twenty tech-based modules ranging from text extraction and sentiment to prediction and automated decision-making.
About Artivatic Describing the uniqueness of the company, Layak asserts, “Our Pilots have demonstrated more than 50% of efficiency, 90% reduction in turnaround time, 40% better fraud identification, 70% less cost reduction, more than 60% consumer engagement, more than 40% better risk delinquencies identification and intelligence in near real time.” Over the years, Team, Branding, Access to corporate clients, and Content strategies for inbound lead generation have proved to be the key assets for Artivatic which helped 16
Layak Singh Founder & CEO
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We are the pioneers of new category of products, services and data systems based on ingestible computing
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Meet the Vibrant Leader Layak Singh is the Founder and CEO of Artivatic Data Labs. His entrepreneurial journey started during his graduation days at IIT Karagpur. Layak has been a serial entrepreneur who founded two product startups earlier. This past experience along with a vision to enable enterprises to integrate with human like decision engine, motivated him to be the cornerstone of Artivatic. He invested all his funds attained from his previous startup in forming the framework of the company by building team, products and even doing sales. Today, Layak’s leadership skills have assisted Artivatic to develop into a thirty member team with more than ten client pilots. He has been the driving force in raising investment and generating more than fifty leads respectively.
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it to climb the success stairways. The company focuses on developing various tools and solutions for industries empowering easy and seamless implementation. Customer On-boarding – The company gears the digital on-boarding process by digitizing all KYC, financial statements, medical, invoice, ITR, diagnosis, proposal forms, claim forms etc. in real-time with document verification and photo matching. This reduces the customer onboarding process time up to 90%. Also, the process became simpler up to 60% along with cost reduction up to 40%. 360 Consumer Profiling with Internal and External data – This solution develops consumer/product behaviour, interests, financial prediction and more to get in-depth consumer insights for recommendation, personalization and prediction. Risk and Fraud Detection – Here, patterns are built for future digital data-focused risk and fraud detection based on historical fraud input. Anonymous patterns are developed based on new data, profiling to enable intelligent risk and fraud analysis. Underwriting – Artivatic uses machine learning (ML) based predictive underwriting to create a smarter rule engine and provide automated underwriting process for financial institutions. It enabled better underwriting by 40% using the current engine. Automated Decision-Making – Enables enterprises to have capability of automating the loan, insurance policy, credit card or claims amount approval, counter, rejection with little human intervention. Claims Management – The company offers ML and computer vision based claims intelligence system for insurance businesses to have end-to-end claims management system and reduces turnaround time up to 90%. It also offers real-time claims processing for insurance providers. OCR (Optical Character Recognition) or ICR (Intelligent Character Recognition) – The company provides documentation-as-a-service for KYC, financial documents, medical documents, diagnosis reports, invoice, proposal, claims, contract and more. Image Recognition– Artivatic delivers damage detection for vehicle claims, signature matching for automated payment, video-based KYC matching and more. Text Extraction – Using NLP (Neuro-linguistic programming), the company collects text extraction from December 2018|
structured or un-structured data or documents and assists organizations in securing their data. Financial Documents Reader – The company offers bank, credit, annual report, financial document reading & analysis using technology for financial assessment, anomaly detection and fraud assessment. IoT device-based Health Prediction – Artivatic plays a pivotal role in device-based health profiling for disease prediction and corporate health insurance. Revenue Cycle Management System – The company takes necessary strides for prior authorization, denial prediction and contract modelling for the physician in order to meet evidence-based claims processing and care management. A Comprehensive Vision Hiring right talent is the great challenge as finding the talent with right skills is hard to find. Other biggest challenge is getting payment from B2B clients as they take few quarters to make payment which makes difficult for B2B startups like Artivatic to grow extensively. Investors do not invest in lack of revenue is another challenge instead of good sales pipeline is another major challenge. Furthermore, R & D is a challenge because of the lack of funds. On the other hand, there is enormous amount of data available and hence it gets easier to develop new innovative products and technologies. This is also unlocking enormous doors of opportunities which are creating new category of products and services like never before. Future Prospects The future would turn out to be more data-centric, where AI-enabled simple processes would transform the corporate world by catching every wave of the business analytics. By 2025, there will be more than 25 Billion connected devices, autonomous cars, automated virtual assistants, robotic focused warehouse or hazardous work culture, real-time diagnosis and better healthcare, education, transportation and agriculture. Artivatic soon will launch DIY (Do It Yourself) or SaaS platform with self-decision powering engine. The company will foray in to other insurance sectors like property, agriculture, appliances, retail and corporate with life/health sciences. It plans to expand its territory to SEA, APAC, USA, European countries while setting up sales and support team. Its target is US $5-10M ARR (accounting rate of return) by the next year with an R&D team of more than 100 members. The company takes pride in saying that filing more patents will be its new area of focus in the near future. 17
KNEE DEEP IN
DATA D
ata analytics is such an alien term for so many of us. As times are changing this term too is evolving at a staggering rate while we are still trying to follow what it means in the simplest of terms.
So let’s break it down to most basic explanation. Data analytics is the study of data that comprises of information sets that may vary from business to business, domain to domain. For e.g., hospitality has guests and their preference records that may be used to determine, how people like to stay in a certain demography or any airport that would have records of people and airlines that could help determine preferred destinations or airlines. Similarly, there are vast records of data present in various fields. Most of this data has been generated over past few years and today’s digital means of procuring services and information is contributing to the explosive pace of growth in the data volume. In this scenario Data Science – the ability that enables one to extract actionable insights or knowledge from large and complex data sets – is essential. We need to know that while there is a rich history of companies using data to their competitive advantage, the disproportionate beneficiaries of big data and data science have been internet technologies like social media, search, and e-commerce. While innovative data science applications can transform the future, the lack of it might just slow down growth and even deprive people of a quickly evolving internet world. If we think of governments as organizations, they generate more data than most large companies do today. This data was for a long time sorted manually and the action and impacts were studied and solutions were implemented way later than they should have. Automation of the industry lead way to data being generated and stored automatically with little manual help and the way data is dealt with has changed over 18
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Expert Insight
Saurabh Moody
Founder & CEO
ABOUT THE AUTHOR
the years, thereby increasing the demand for data scientists. There you would hear an often used term Business Intelligence which basically is technology assisted strategies used by enterprises for the data analysis of business information. In a time like ours where businesses and consumer ratio has narrowed down drastically. Business intelligence is the key to unlock next opportunity. There is a gap of flow of information in real time when it comes to hospitality industry and profiling of customer becomes impossible, resulting in miss-targeted ads and late response to the on-going sales crisis. The hospitality market in India is going to grow to more than $ 78 billion by the end of 2018 and a technology to cope up with this doesn’t exist at the required level. There is an opportunity here for everyone to figure out what are those few things that clicks to your consumers – this was earlier possible for online businesses but we are bringing it to offline world too, which is where it is required the most right now. Startups are at the right place to implement this at very early stage and growth hack into success. And, since not everyone has the expertise and resources and even volume of data to get independent analysts, startups are being able to assist these businesses more economically. December 2018|
Saurabh Moody is the Founder & CEO of Realbox Data Analytics. He is a Data Scientist, Growth Hacker, Architect, Business Intelligence, Data Mining & Digital Branding expert, Developer and a certied Scrum Master with experience in designing data models and analytics platforms. He is a serial entrepreneur in the technology domain. In 2004, he worked with Microsoft where he designed and implemented the core platform framework for Microsoft Passport. 19
Stepping towards Better Business World with
ANALYTICS
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December 2018|
Business Archive
T
here is an old saying, “if you can’t measure what matters, what you measure matters a big deal”. This is often expressed as; if you can’t measure something, you can’t possibly get better at it. Analytics is an elegant demonstration of the number-driven world. Big data is the foundation of all megatrends that are happening today, from social media, e-commerce, banking & finance to cloud, gaming, and many other sectors. It is the tool that can infuse life into any failing business. We are living in a data-driven society where numerous tools are available to track customer habits, preferences, and purchases. These data help to get timely insights for making decisions about fleeting opportunities, precise answers for challenging problems and uncover new growth opportunities.
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On account of globalization and rise in competition, it has become necessary for companies to be customer-centric, predictive and highly efficient in order to survive and grow in the market. Many companies are using data as the core enabler of their business. Following are the reasons why analytics play a pivotal role in building a better future of corporation. Data Gives Customers What they want The best way to be successful in any business is to provide customers with what they want. Consumers want unique experiences of product and services, and they want to be catered on an individual level. For example, Netflix uses machine-learning algorithms to determine what each of its subscribers will probably want to watch next. Making recommendations on this scale may be not possible for startups but it is possible to harness the principle in some way. The database of customers and their past purchases can provide information that can use to predict what these same buyers might be interested in purchasing next. Transforming Numerous Sectors Analytics in operation started with a simple question: it is possible to reduce fuel consumption and time by finding faster routes for drivers? With the help of tracking sensors on vehicles, it is possible to optimize fuel efficiency in operations as it gathers the data of different routes. Goods and manufacturing companies can access product performance with greater precision than ever before. In the finance sector, big data used to integrate disparate information such as what kind of product consumer buy and how much consumer spends. This helps to access a consumer’s creditworthiness or credit risk. Big data is equally powerful in health care, where numerous wearable and health-monitoring devices generate massive amounts of new information about the effects and outcomes of medical treatments. Analytics is playing important role in every business aspects of different sectors. Data-Driven Entrepreneurship Although every entrepreneur has different goals; they all operate under same principle-to transform ideas into a successful business. With the rise of big data and machine learning, the current approach towards entrepreneurship has shifted significantly over recent years. Entrepreneurs use this data as the foundation of new business ventures. On account of digital India campaign, there is a huge opportunity for data-driven models for entrepreneurs. Easy access to mobile internet makes data faster and cheaper than ever before. A large amount of data is generated by 24
mobile companies which operate across entertainment, shopping, banking, traveling, and among many others. Data Stays with Time Change is the only constant thing in the world. What pleased customers today may not tomorrow, and the only way to adapt this change is harnessing data. The potential of data goes beyond just making good decisions. It can reshape any business and led the organization to tremendous growth. Driving Profit of Organizations Applying big data principles to pricing can be a major boon to both small and large businesses. Over-pricing is an obvious concern, but even low pricing too can affect the profit of any organization. With the help of analytics is it possible to determine the optimum pricing ranges for products. With the right business impact analysis tool, it is possible for businesses to run ‘simulations’ of numerous potential scenarios. More the data, more is detailed and reliable the resulting impact analysis will be. With an impact analysis, the organization will have a much easier time devising and implementing effective contingency plans for any of the most likely or most common disasters that befall business. Data for Better Governance Quality data if analyzed properly, it can be helpful for programmatic decision making, proactive policy revisions and efficient delivery of schemes. Comptroller and Auditor General (CAG) launched the Centre for Data Management and analytics to analyses relevant data for auditing process. The main purpose is to create a data-rich environment in union and state government to build capacity in audit and account department. Recent developments in data analytics have ignited a transformation in every business function of the organization. The credit for this change in mindset goes to entrepreneurs, startups, government, and industry. They have shown a strong desire to take India towards datadriven models. The major challenge for organizations is the selection of appropriate analytics tools that apply to relevant business problems. Though more has to be done, there is a definite hunger to support data-driven entrepreneurship and data analytics cycle to transform data into actions.
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Decisive Analytical Systems: Analyzing Customer’s Interaction through Deep Analytics
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very day it seems that technology is pushing the boundaries of what analytics can deliver to organization. Technological advancements like Artificial Intelligence, Machine Learning, NeuroLinguistic Programming, and Deep Learning are shaping the future of organization. Big data, by itself, can’t change the world. But by applying the insights gleaned through the analysis of big data, companies can transform the way the world does business. Every year bring a ‘new’ marketing movement, but the new marketers know that this time it’s different. It’s not just the rules that have changed, it’s the customers themselves.
Dynamic Leader of Plumb5 With over decades of experience in leadership roles, Vijay Chander is the Co-founder and CEO at Plumb5. Vijay’s entrepreneurial journey comes with extensive experience in managing various business
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Vijay Chander Founder & CEO
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We help business in unveiling the hidden profits
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It is important for the companies to move from the traditional to the digital realm where accessibility, engagement and customization are key factor to drive adoption in the digital experience. With the mission to democratize business data so that every business user has access to insights, create performance and productivity opportunities through artificial intelligence and automation, Plumb5 is an integrated data platform developed by Decisive Analytical Systems. The company is dedicated to solve marketing challenges permanently with the help of customer data and facilitating seamless automation of business processes to drive customer centric engagement automation.
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initiatives. He has given his fruitful contribution to various global enterprises like Xerox and ICI. He is a certified Lean Six Sigma black belt professional with a rich exposure to growth, management, and strategy & execution. He has been instrumental in setting the strategy and direction, building & leading the executive team from the front. He is dedicated to modelling and setting the company’s culture, values, and behaviour. Platform for Real Time Accurate Insights Decisive Analytical Systems is a AI harnessed Mar-Tech company based in Bangalore, India. In the year 2010, a team of marketing and technology professionals recognised that data would be the new currency for business. Any business which establishes more than one channel of communication to its customers will need a unified campaign eco-system. Plumb5 is a true unified marketing platform capable of tracking all customer interactions across touch points and engage intelligently in real-time.
The Power of Plumb5 lies in quick implementation and lower TCO, along with powerful and futuristic features. The simplicity of licensing is well received by many customers and hence many long term contracts. Future Roadmap The company is progressively moving forward by developing innovative solutions for the clients. The company sees itself ahead of its competitors to cater to the new well-informed marketing organizations. Plumb5 team is heavily investing in AI and Machine Learning capabilities to make the platform one of the most preferred one for the customers. The Roadmap is well mapped with current market realities and future prospects in advertising, deep learning, marketing insights, compliances and campaign optimisation.
Over the years, the company had successfully built a product which enabled customers in Retail, BFSI, FMCG, Real Estate, Education & other verticals to unify data, analyse, design and execute real-time marketing campaigns. The company’s platform has been pivotal for SMEs and emerging enterprises in increasing top-line and bottom-line revenue including adherence to data compliance. The company’s team is dedicated to provide best-in-class services to the clients. Benefiting Clients through AI based Real Time Marketing Engagement Plumb5 is a future-proof full stack marketing analytics and engagement platform, in terms of completeness of marketing suite, ability to execute complex multichannel campaigns with seamless integration and deliver machine learning capabilities.
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MOVING TOWARDS
DATA-DRIVEN ENTREPRENEURSHIP
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very day it seems that the technology is pushing the boundaries of what entrepreneurship can deliver to the society. Recent developments in technology are shaping the future of the entrepreneurship. The current approach towards entrepreneurship in India has gone through a great change. We are living in a data-driven society where numerous tools are available to track customer habits, preferences, and purchases. Today, entrepreneurs have access to this entire customer's data. This data is used as the foundation of new business ventures. It is interesting to imagine the power that entrepreneurs are going to have when so many dierent sorts of data are available. In India, data science domain has a great potential and opportunity to drive change in the society. As per the alarming trend, India is in need of as many as 45,000 data scientists at this moment. Institute of product leadership recently hosted data science summit
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‘Data’ preneurship
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2018 in Bangalore. The motto of this summit was to skill professionals to become a data-driven entrepreneur and create newer entrepreneurship models. Every professional who is engaged in customer and business-driven innovation should become a data-driven entrepreneur for better business growth.
Due to digital India campaign, there is a huge opportunity for data-driven models. Easy access to mobile internet makes data faster and cheaper than ever before. A large amount of data is generated by mobile companies which operate across entertainment, shopping, banking, and traveling etc.
Social Problems Signifying an Opportunity
Recently, Uber launched 'Movement' in India to support data-driven urban planning in four cities. These cities include Delhi, Mumbai, Bangalore, and Hyderabad. The Uber tool uses data from millions of trips to help planners and peoples to analyze transportation patterns and make a wise investment in a future infrastructure project. This tool can also help people to discover patterns, rush hours, road closures and the impact of events to help optimize travel time.
In India, social problems have huge potential to encourage the data-driven entrepreneurship. Recognition of problems in a correct manner is the most important factor for datadriven models. Traffic management shows a great opportunity for data-driven models as data generated in this sector is immense. The placement of sensors on traffic signals and roads to monitor the vehicle density at given time creates a large amount of data and it is possible to control traffic signal through IoT by using this data system. Many startups in India are eager to collaborate with the government to resolve traffic problems and emerge with innovative ideas. Other sectors which could get maximum benefits from datadriven models are Healthcare and Agriculture. Data-driven entrepreneurship has the ability to transform the healthcare sector. Healthcare sector has the large amount of medical data which is helpful to predict and prevent the disease, reduce medical cost and improve personal healthcare. In this sector, numerous organizations are using this data to personalize and increase the healthcare of their patients. This data is gathered in the form of digital data as a result patients are using personal digital health tracking devices to take care of their health. Apart from above sectors, agriculture could also get maximum benefit from data-driven models. Data-driven models help to resolve issues such as determine the correct market price for crops, weather conditions & correct method to cultivate crops. Data-Driven Entrepreneurship in India Introduction of new data centers by Microsoft Azure and Amazon Web Services (AWS) are accepted by traditional companies. Various companies in India are using data to gather insights of the organization. The access to this data helps organization to maximize security with minimum governance.
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Use of Data for Better Governance Quality data if analyzed properly, it can be helpful for programmatic decision making, proactive policy revisions and efficient delivery of schemes. Comptroller and Auditor General (CAG) launched Centre for Data Management and analytics to analyses relevant data for auditing process. The main purpose is to create a data-rich environment in union and state government to build capacity in audit and account department. The Indian government is working on an open data policy under the department of information and technology to encourage a sharing of information between various departments and across ministries. In many states, municipal corporations have tie-ups with entrepreneurs to standardize city data. The government encouraged startups and technology companies which offer a data-driven model. These data-driven models will help the government to increase efficiency in its working. With the improvement in the entrepreneurship system, many things have changed. The credit for this change in mindset goes to entrepreneurs, startups, government, and industry. They have shown a strong desire to take India towards data-driven models. Data-driven entrepreneurship is taking an extraordinary shape in India. Though more has to be done, there is a definite hunger to support data-driven entrepreneurship. This is the best time to support entrepreneurs, startups, government, and industries to build a data-driven entrepreneurship.
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n today’s connected world with data overload, it is becoming increasingly difficult to differentiate your product in the eyes of the customer. With the customers having a large number of options available literally on their fingertips with their mobile screens, the choices are endless. The race is going to be won by companies who can capture the mind space of the consumer and when the consumer feels such a personalized connection with a product that he doesn’t make a small effort required to find other options. So how does an organization go about creating this personalized connection with each unique customer caring for their unique preferences? A marketing drive however closely targeted to your customer segment cannot target each customer’s preferences uniquely. The future is going to be decided by hyper-personalization and better targeting that most large organizations are trying to do today. The other part of the puzzle is employee satisfaction. The old adage that happy employees make happy customers cannot be underestimated. Organisations need to balance hyper-personalized customer marketing and ensure employee satisfaction at the same time. The effectiveness of the future strategy is based on the decisions taken by the organization today. The decisions are based on the information available to the management and the foresight of the decision makers. The better the quality of information, lesser is the need of the intelligence of the management team. This is where the difference lies - Better the information, better the decisions. But, how do we assess the quality of information? Is there a yardstick that helps us decide when the information is good enough to take a decision that impacts the company’s fortunes in the future? The answer is clear and present – data Analytics. Taken to an extreme, if the information is analyzed to such an extent that it can provide a clear course of action, the requirement of someone taking an intelligent decision reduces and the decision can be automated. This is where artificial intelligence and machine learning comes in. At the heart of it, however, is better data analytics and higher 32
processing power to allow the data to be analyzed to such an extent that the human decision-making process is no longer required. AI, Machine learning, NLP, data modeling, statistical testing, and predictive analytics work together to allow the computers to achieve a reliability of data that can be used to make automated decisions. In the case of data science and data analytics, by using the right combination of these technologies, companies can automate sophisticated aspects of their responsibilities that previously had to be completed manually. This clearly leads to better decision making and therefore better future outcomes for the organization. In my opinion, I would outline the decision-making structure in the following steps: 1.
Get valid data – ensure data is accurate and with as little measurement error as possible. Big data, social media data, system generated data for customer usage patterns and other data are all put together and summarised. This could be achieved by survey applications that support statistical tests and sample sizes. This is especially useful in getting customer preference data – in the absence of asking customers directly, all your data would be inward focused and assumptions built on assumptions. Be sure to conduct surveys and find out what the customer or employee is telling you directly, in their own words.
2. Data Analytics – text analytics and advanced modeling of this data could throw up interesting observations. These observations need to be validated for statistical significance and sample size. While not a recent buzzword, 'statistically significant difference’ is possibly at the heart of most data-driven analytics. This enables decision-making as the preference difference is established. To take an example, if we are measuring customer preference for product A Vs B, if the data shows that customers have a statistically valid preference for Product A, it is a no-brainer to go with December 2018|
the development of product A. It would be superfluous and unnecessary to have a human make this decision if the data is clearly showing the preference.
The Founder Talk
Similarly, on the employee’s front, Companies around the world are adopting people analytics. In today's world, any company can replicate your product, marketing strategy, business model or the services you offer. While customer data science can keep you ahead of the curve on the customer side, people analytics can ensure that your employees are satisfied and helping build a great successful company –people could be your greatest competitive advantage. Organizations today have lots of data about their employees including educational qualification, age, demographics, salary, tenure, satisfaction, ratings, performance, and much more. However, few organizations have a structured way of putting all of this information together to understand their employees. People analytics helps answer the following critical questions – what is the ideal profile for recruitment? What makes the employees motivated to perform well? What will help retain the employees best? There are of course a host of other data points like what qualities in managers make the organization more effective, how to get teams to collaborate better and how work-life balance is affecting employee performance. Without going into training and Organisation development side of it, even though data analytics helps in both of those as well, the role of data science in people analytics cannot be underestimated. Organizations must do their own internal research to find our their own reality and truth. It’s easy for us to read research reports and studies from consulting firms and assume that what we read applies to us. If a study says customers prefer more email communication, then it means we should do more communication for our product too. External research is broad-based and sometimes questionable in the first place. Recommendations from external research should not be applied directly to your organization without a validation. Each organization and product is unique and therefore each organization needs to find out the preferences of their stakeholders in their unique environment. It is imperative to conduct your own research, do your own data analytics and derive your own conclusion to take the right decisions. Fortune favors the prepared – be prepared with data analytics! Good luck. December 2018|
Ashutosh is the Founder of datapotential.com (an advanced statistical online survey platform) and Aselector.com (an Articial Intelligence based knowledge management platform). He has over two decades of experience with multinational companies in leadership roles in quality, data analytics, transformation and program management. He is a speaker and thought leader on AI and statistical methods. 33
E2E Research: Prominent Industry Leaders focusing on Research Services, Analytics and Technology Solutions
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2E Research is a leading company offerings services globally, which mainly specializes in Primary and Business Research, Business Analytics along with developing technology solutions. As we live in a digital age, which is filled with complex layers of data, the company unravels and helps publish the diverse stories inherent in data streams. Its data-centric approach ensures highly customized report and consumable insights while addressing industry, business, and market objectives. The key recommendations and deliverables ensure that every client is positioned for making effective decisions which are related to the products, development, marketing and design.
The Visionary Leaders A determined personality, Yogesh Rana is the Founder and COO of E2E Research. He has an experience of working in the market research industry and is skilled in analytics solutions, customer relationship manage, online, research and personalized data management solutions. His Key Responsibilities involves: • Streamline office processes. Devised strategies for improving teamwork and communication among members of team projects. Using research and analytical skills to uncover and correct inefficiencies within the company. • Bring unique vision to the company. • Ensuring latest technology and Innovation. Satender Kumar is the Director and Head of Research and Analytics of E2E Research. He has an in-depth research experience across multiple industry segments and specializes in advanced data analytics and business research His Key Responsibilities involves: • Configure analytical solutions for the Research and Business objectives 34
Yogesh Rana Founder & COO
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We understand the business problem and can provide science based solutions. We are changing fast basis the need of the business and can ensure solutions within a good time
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To keep the E2E Research engine running, the company deploys high-end analytics i.e. Gap, Hypothesis Matrix, Univarate, and Multivariate complemented by the seasoned business and research analysts. E2E Research is all about ROI and designs that interprets, evaluates, and assess research reports, which are focused on identifying the business gaps, areas of strengths, improvement and growth.
Satender Kumar Director & Head of Research and Analytics
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• Engage with clients to work on all kinds of data assessment needs • Lead business analytics, reporting team across multiple accounts • Build the robust and agile system to create data solutions Contribution to the Analytics Industry E2E believes that data in the present times has become the key differentiator for any business to surpass competition and stay ahead on the path of growth and business sustainability. It provides full expertise to solve the business problems using the data and analytics solutions. Be it structured data analytics or unstructured, the company has delivered consumable solutions to the FMCG, Technology, Healthcare and BFSI clients and many others. E2E Research has a great learning experience using almost all analytics tools and techniques to support any kind of data analysis at the client's end. Challenges and Opportunities: The Turning Points The business and industries around the world are evolving by the day. Change is the name of the game. Traditional methods are not enough to meet the pace of the change. Here are some of the challenges as well as reasons for opportunities • Scaling up with a creative resources • Imparting knowledge both the traditional methods and the new creative methods • Implementing and delivering with a creative approach and using technology for accuracy and speed • Ability to meet the timelines and manage the costs, since there is no time for experimentation • Maintaining speed for learning and sounding meaningful in the competitive world
good work, exceptional service, new ideas, and a long-term relationship, then the company and the client can be a perfect team. Our Work Speaks: The loud impact is created by continuously executing at a high level. It shows that E2E Research has a well-established process, manages accounts, and also has the brain power to think through and effectively communicate the strategy. Meeting Market Needs: Being a great agency partner requires a team with a perpetual transformation mindset. E2E Research invests in the future; it's ahead of what's next in creativity Present and Future Times of the Industry Running a successful business today is a challenge and to stay relevant with the changing technology is the prime concern now. With the advent of big data and analytics, cutting edge techniques should be adopted by the industry to stay ahead of the competition. As the data is increasing day-by-day to find the problematic areas and the related solutions analytics play a bigger role. Implementing Analytics, finding solutions to the problems identified and having a technology platform eases the overall business. Exploring New Directions in the Journey E2E Research plans to develop specific data solution in the following areas: Developing product with Internet of things (IoT) E2E Research develops the analytical solution on this key emerging technology trends. It has got a huge potential to make the products connected and flag the preventive checks upfront.
Biggest Assets of the Organization Scaling up of Resources and Speed of Learning -The ability to provide creative solutions requires knowledge and cultivates fast learning techniques. The skillset with knowledge on the latest techniques like data sciences, business analytics has paved the way for providing value added solutions for the clients.
Enforcing Artificial Intelligence- E2E Research focuses to perform repeatable, redundant tasks and to process large amount of data not to avoid human interaction, but to enrich it. The company believes that AI plays a crucial role across all areas.
Culture - Learning, being creative and solution oriented is the culture across the company.
Bringing the Machine learning and Predictive Technology to Untapped Areas- E2E Research is working for traditional clients who have a lot of internal data but are clueless, so as to bring the power of data to solve their business concern.
Technology and Innovation -Technology has been the key reason behind E2E’s business success. E2E has the courage to design, develop and implement new technology. A Triangle of Benefits Clients: E2E Research tell the clients that if they prioritize December 2018|
More Innovative and Open for New Ideas (Technology) -Innovation is like a routine in technology. In business operations, the edge of a technology revolution can change everything and being open to change can bring creativity, which will evolve the customers and companies. 35
THE NEW LAYER OF TRENDS IN
DATA ANALYTICS W
ith the world being digitized, people will always question what is latest in the technology and how its data will aect the market. They are always found discussing the top headlines like, AI is everywhere, and will change everything or enterprises are moving their infrastructure towards the cloud and many much more. Consequently, it can be easily said that together with mobile, cloud, social, and analytics, technologies have emerged as core business disruptors in this digital age. Data and analytics have become the center of gravity as companies are shifting from being data generating to data-powered organizations. As technology advances, industries will see that how they have evolved from last year and will look towards future trends and approaches that are reshaping the analytics arena.
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Tech-trends
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Data Hierarchies
Proliferation of Metadata Management
The concept of data hierarchies can be designed in the terms of data being stored and its relation with the frequency of access. Corporations use two types of hierarchies i.e. hot and cold.
As the data deluge keeps on increasing, the governments around the world are imposing new regulations. Within the organizations, the team has now much more access to the data. Consequently, this all adds up to the importance of data quality, integration, metadata management and data governance. The extracted data with meaningful insights and increased optional efficiency will require integrated and flexible tools that allow users to quickly prepare, analyze, ingest and govern data. Metadata management will be essential in supporting data governance, data management’s demands, and regulatory compliance in enterprise data environments.
Hot data refers to the data, which is used more often and sometime is rerouted through very fast storage devices like solid-state drives (SSD), or caches. On the contrary, cold data is routed through the older hard disk drives. Analytics will perceive the new trends in which the hierarchy might stratify data according to its used frequencies and in the design of the business models or just for straight analysis. Another area where it might be defined is by the trustworthiness of the data. Hierarchies will be important for the categorization of the tool and technologies. For example, BI (business intelligence) and Big Data analytics tool on transactional side, NoSQL, and Data Lakes on the repository side. With the ever increase in the technology choices, companies will need a set of hierarchies in the data analytics to dictate its best practices in operations deployment. Governance Tools Data governance technologies are finally starting to get some respect. One of the biggest compliance around the governance data is the catalogs and their ability to make data sets in Data Lakes more organized and more discoverable. Data discovery tools look through databases, Data Lakes, and present report on relationship between them. These tools make the Data Lake itself more useable and Data Lake investment more efficient. Data catalogs and discovery tools will increase the popularity as companies seek better return on investment made in prior years, guiding further the governance wave. Cloud Data Tools The more a company’s data is maintained in a cloud platform’s storage layer, the more the company will work on that data on that same cloud platform. This includes data preparation, analytics, model training, and predictive modeling on high-end GPU virtual machines. The cloud battle between the companies has now become the data storage battle.
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Predictive Analytics Data quality is always a concern when new data projects move into the production. Critics predict that organizations will turn to machine learning algorithms to enhance the data quality anomaly detection. By using the historical patterns, corporations can detect anomalies that might have gone unnoticed and might have found much later after the data have been breached or through manual diagnostics. As technologies like IoT are advancing, the data is becoming difficult to manage. A full transparency into the business’s assets will play a crucial role for successful analytics initiatives addressing data governance and privacy needs. Visualization Models Critics reveal that in this year, the goal of every big corporation adopting data strategy would be to achieve true streaming analytics i.e. the ability to process and analyses a data set, during its creation process. This would help companies in gaining insights into the correct datasets without having to replicate them. Currently, this suggests that corporations have to make compromise with the size of the dataset or tolerate for a delay. However, by the approaching years, firms will get very close in removing such limits. For corporations, the big trends are fun to identify and predict. However, it is the specific& focused changes and the strategies pursued by the customers and the vendors that inform firms with their plans. Simply put, these vendors and customers pave the path for a company’s decisions. In a hotspot like analytics, firms must consistently need to plan its initiatives and place their big bets and need to dodge the associated risks to sustain a better future. December 2018|
FINARB ANALYTICS: Data Science Consulting Firm Providing end-to-end Data Solutions
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very day it seems that technology is pushing the boundaries of what analytics can deliver to the organization. Data is emerging as the new gold for the businesses around the world. Analytics industry in India is growing at an amazingly rapid pace. Recent technological developments like AI, cognitive computing, IOT, blockchain are shaping the future of organizations. According to the independent reports, the analytic sector is expected to be worth around 1.2 trillion USD by 2025.
The Leader Who Steered his Company to Success With the desire to leave a distinct footprint in the analytics industry, Abhishek Ray founded the Finarb Analytics to provide end-to-end data solutions. Abhishek has given his fruitful contribution to some of the leading companies like Genpact, HSBC, and ANZ. By seeing vast opportunities in data science and analytics, he started working in this sector in 2009. He left his job at ANZ in 2015 and started as a service 40
Abhishek Ray Co-founder
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We crunch, process, and model your data to present visual, actionable insights
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In the ever-changing face of technology where every fortnight has a new platform or language, things can get confusing when data solution is needed. Finarb Analytics Consulting Pvt. Ltd is solving complex business problems with high-volume data engineering, analysis, and predictive modeling. Finarb uses all kind of data to solve business problems. It crunches, processes and model data to present visual and actionable insights. Finarb Analytics is a group of dedicated analytics professionals having two decades of experience in machine learning, artificial intelligence, and deep learning in a wide range of industry verticals with an emphasis on banking, trading, and finance sectors.
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provider. On account of bigger projects, Finarb is growing at an amazingly rapid pace. With sheer dedication, Abhishek is committed to develop AI enabled easy to use, reusable, and automated solutions by understanding realtime data science.
(text, image, or regular transactional) and integrate it with web analytics data sources and CRMs. It also works with traditional statistical models and learning models.
Providing Innovative Services to Clients
Finarb is a team of competent and like-minded people who share a burning desire to exceed client’s expectations. Being a technology agnostic company, it is catering to different clients with different technological setups and preference. Finarb is an innovation partner of its clients. It helps clients in analytics transformation and leverages the potential of AI at a reasonable cost. The company is not only providing statically or mathematically optimal solution but also investing into automation. Such investments end up saving the efforts and money in the redevelopment or maintenance work of the client’s work.
Finarb Analytics provides analytics based consulting services to clients across the globe. It involves framing the strategy, structuring a solution to enable the strategy and implementation of the same. It can range from the traditional solutions like Marketing analytics e.g. churn models, MBA (Market Basket Analysis) to high-end and cutting-edge analytics in recommenders based on deep learning frameworks to high-frequency algorithmic trading models. It is providing customized models which are robust, scalable and backed by the solid statistical foundation. They provide complete automated package that work as the end-to-end solution which can be run with minimal human intervention. The company’s expertise lies in the deep learning, algorithms, social media analytics, scraping, ETL, Cloud development, Scaling, automation, app design, and visualization, databases.
Prioritizing Client’s Need
Finarb is always ready to walk an extra mile for the clients to cultivate the long-term relationship with them. The task of growing the market while acquiring the customers is the biggest challenge for the company. Many customers feel a pleasant surprise when they find out about Finarb offering world-class services a competitive price.
AI Enabled Tech Platform
Future Roadmap
AI is affecting every sphere of the life. With the advent of AI, various opportunities in the analytics sector are evolving. As the leading AI solution provider, Finarb is willing to leverage digital transformation to the traditional companies. Innovation is crucial, but the flawless execution is something which brings success to a company. Keeping that in mind, Finarb is working towards automation with perfect implementation of the solution, which creates their unique standpoint in the industry.
As India’s economy becomes increasingly global, analytics will continue to become an integral part of corporate strategy. Apart from providing cutting-edge data solutions and technology solutions, the company is investing in the area of social media branding and campaign, automated medical diagnostics, generic recommender systems and algorithmic trading and backtesting platform. All of these models employ state of the art NLP, image modeling, and ML and AI techniques. Finarb plans to introduce these products to everyone in coming days.
Finarb is distinctively contributing to the application of AI. The company is providing services in social media projects in areas of branding, monitoring, advertising, trading, political campaigns, and fraud analytics. It is also contributing to medical diagnostics into dermatology and radiology. The company is creating a type of recommender to automatically take in the structured and unstructured data
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Videonetics: A Pioneer in Visual Computing Platform powered by AI & Deep Learning Framework
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he wave of analytics is impacting the business world at an exponential rate. It is helping small- as well as largescale enterprises to improve efficiencies, enhance customer experiences and generate profitable outcomes.
Over the years, this Kolkata based company has built its strong heritage of innovation and excellence in Visual Computing Platform. Currently, it is the world’s first company to launch AI & DL powered Unified Visual Computing Platform. Leader’s Take on Innovation and Patriotism Dr. Tinku Acharya is the Founder and Managing Director of Videonetics Technology Pvt. Ltd. He is a fellow of IEEE (Institute of Electrical and Electronic Engineers), a renowned researcher and inventor. The words technologist and scholar best describe Dr. Acharya. He is an entrepreneur with advanced forward-thinking technology vision and innovation is his passion. After contributing more than 150 US and international patents, he recognized that a country can get respect and become strong with its home-grown intellectual properties and culture of innovation. With this same patriotic mission, he launched Videonetics. “I am not going to retire from innovation as long 42
Dr. Tinku Acharya Fellow IEEE Founder & MD
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Innovation is in our blood and it is guiding principle of Videonetics
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One such tech-enabled company rolling out innovative solutions based on Visual Computing Platform and catching the wave of enterprise-class video management & video content analytics is Videonetics. It is not just a company, it is a movement to promote culture of innovation and uphold the national call for Made in India. Established in 2008, the company is delivering Made in India innovative products and solutions. With its sheer determination and unified efforts, Videonetics is committed to march on its patriotic mission and transform the world for better. From reducing traffic violations to improving security in cities, airports, railway stations, enterprises and other places with high security threat. Videonetics has been innovating as well as deploying solutions for wide-range of industries including banking, critical infrastructure, government, corporate campuses, airports, traffic management, sports, large manufacturing plants, campuses, etc.
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as my brain and body cooperates and so perpetuate this culture in my small but effective young team. My team think, breadth, and goes to bed every day with the thoughts of innovation,” says Dr. Tinku Acharya, Fellow IEEE. His current research interests are in Artificial Intelligence and Deep Learning, Image Processing, Computer Vision and Pattern Recognition, Big Data Analytics, Visual Biometrics etc. Distinctiveness – Unlocking the Success Doors “We understand that every industry has its unique challenges and that finding the right solution for your needs is an important decision,” Dr. Acharya asserts. Holding a leadership position in the industry, Videonetics's indigenous solutions have acclaimed patents from countries like the USA, UK, Canada, Israel, Singapore and so on. Many patent claims are pending worldwide. The company had also been acknowledged by renowned awards. Recently, it has introduced AI and Deep Learning framework-enabled solutions including Intelligent VMS, Smart Urban Video Analytics (SUVA), Attribute Search, No Helmet Detection, Triple Riding Detection, Speed Detection, Highway Traffic Management Software, Data Visualization Platform, and Smart ITMS Dashboard to name a few. The unique features that helped the company in creating a niche and being a trendsetter in its sector are: - OS Agnostic – Windows, Linux, Unix, Mac OS - Truly Unified Architecture & Integrated Platform - Rich Integration Framework – API - Best for Tough Environmental Conditions - Web-enabled & Browser Agnostic - Green computing by way of low computing foot print requirements Smart City and Videonetics – Going Hand-in-hand A city can’t be smart if it is not safe. Since inception, Videonetics have been playing a pivotal role in India by providing indigenously developed innovative video computing platform for making the city safer and smarter. It is significantly contributing in safe city, smart traffic management, automatic detection of violators, safe airports, safe stadiums, safe religious places, safe home, smart decision-making, and reducing wastage of manpower on the street. It takes prominent steps in helping the law December 2018|
enforcement agencies to enhance its operational excellence and boost citizen confidence. The company has successfully established its leadership position in Safe & Smart city market in India by delivering home-grown solutions and achieving the smart city vision by addressing India-centric challenges and local issues. The company is helping major Indian state like MP, AP, West Bengal, UP, Gujarat and cities like Bangalore, Vadodara, Nagpur, Chennai, Rajkot, Siliguri etc with their innovative technology to reduce crime, effective law enforcement and traffic management etc. This is helping these states in cities in enhancing disciplined behaviour to protect lives of citizens and their properties. The Bigger Depiction Cities around the world are getting smarter. City leaders and decision makers are drawing on information and communication technologies in various ways, with advancements that improve the lives of citizens. This can also empower people’s safety, protect their assets and enhance their day-to-day experiences to keep pace with modern lifestyle. The surveillance application in retail, education, government, critical installations, traffic management, hospitality, health-care, and BFSI with other verticals is exploring similar solutions. The same technology, when implemented in smart city projects can reduce manual interference, predict internal and external threats, system malfunctions and alerts authorities in times of exigencies. An independent survey emphasizes, as the cities grow smarter and more futuristic, video surveillance will begin to play pivotal roles in ensuring the safety of the cities. Investing in the latest video surveillance technology with not only just highest-resolution cameras, and IT infrastructure, it is of paramount importance to invest in versatile, scalable and intelligent Video Computing software. This can act as the brain of the overall system for providing actionable intelligence, enhance operational excellence and best user experience, to meet actual user expectation, and offer intelligent decision support system. These developments can surely make the cities smarter, with a goal of achieving fewer crimes, 24x7 surveillance, and safer environments for city inhabitants, in tune with modern lifestyle.
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