Advance Analytics Benchmarking the Enterprise Growth – End-user Landscape & Vendor Analysis by Savitri

ADVANCE ANALYTICS- BENCHMARKING THE ENTERPRISE GROWTH END USER LANDSCAPE & VENDOR ANALYSIS

SAMPLE REPORT

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TABLE OF CONTENTS 1.

PROJECT SCOPE

INTRODUCTION

GLOBAL ADVANCED ANALYTICS- BUSINESS VALUE

GLOBAL ADVANCED ANALYTICS MARKET- BROAD CATEGORIZATION

4.1

Types of Analytics

4.2

Market Breakdown

GLOBAL ADVANCED ANALYTICS MARKET- DEMAND SIDE BREAKDOWN

5.1

By Organization Size

5.1.1

Large Enterprise (<=1000 People)

5.1.2

SMB&E (1-999 People)

5.2

By Region

5.2.1

American Continents

5.2.2

Europe

5.2.3

APECJ

5.2.4

MEA

5.3

By Industry

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TABLE OF CONTENTS 5.3.1

BFSI

5.3.2

Healthcare & Life Science

5.3.3

IT & Telecom

5.3.4

Manufacturing & Automotive

5.3.5

Retail

GLOBAL ADVANCED ANALYTICS MARKET- ADOPTION RATE

6.1

By Regions

6.2

By Advanced Analytics Models

6.3

Reason for Adoption – User View

MARKET DRIVERS FOR ADVANCED ANALYTICS

7.1

Top Capabilities and Features

7.2

Barriers to Adoption- User View

7.3

Parameters for Choosing Advanced Analytics- User View

WHY ADVANCED ANALYTICS- USER VIEW

SPENDING BY ORGANIZATIONS

9.1

IT Spending

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TABLE OF CONTENTS 9.2

Advanced Analytics Spending

10.

CHURN ANALYSIS

11.

ADVANCED ANALYTICS- IMPACT SCALE

12.

PORTER’s FIVE FORCE

13.

PRICING OF THE PRODUCTS

14.

USER VIEWS ON VENDORS- ON TOP PARAMETERS

15.

INFOHOLIC’s FOUR WALL

16.

VENDOR ANALYSIS

16.1

By Top Vendors

16.2

By Verticals

17.

OTHER PROMINENT PLAYERS

18.

ADVANCED ANALYTICS USE- BY EXAMPLE

19.

TECHNOLOGICAL GAME CHANGERS

19.1

Analyst & Stakeholder’s View

19.2

Key Trends

19.3

Advanced Analytics Platforms-2016

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TABLE OF CONTENTS 20.

STAKEHOLDER’s QUOTES

20.1

By End-Users

20.2

By Vendor’s

21.

INFOLOHIC’S OBSERVATION

22.

ADVANCED ANALYTICS - AT A GLANCE

23.

PROJECT METHODOLOGY

24.

ABOUT INFOHOLIC RESEARCH

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PROJECT SCOPE End-User Advanced Analytics by:  Type of Analytics  Descriptive  Prescriptive  Predictive  By Adoption  By Size • Large Enterprise • Small Enterprise  By Region • American Continents • European • APEJC • MEA  By Verticals • BFSI • Healthcare & Life Sciences • IT & Telecom • Retail • Manufacturing & Automotive  Market Drivers  Reason for Adoption  Barriers to Adoption  Spending  IT spending  Advanced Analytics Spending

Vendors Advanced Analytics by:  Infoholic’s Four Wall  Why Advanced Analytics  Porter’s Five Force  Game Changers  Top 10 Vendor Analysis  User Views through top Parameters Key Trends Impact Scale Churn Analysis Stakeholder’s Insight  End User  Vendor  Advanced Analytics Use: By Examples  Key Trends  Strategic Recommendations    

* APEJC-Asia Pacific Except Japan & China

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INTRODUCTION ANALYTICS GROWTH MATRIX

Traditional Analytics

2013

2014

Advanced Analytics

2015

2016

2017

TRADITIONAL ANALYTICS Business Intelligence

Traditional Analytics Capabilities Reporting

Monitoring

Dashboards

OLAP

ADHOC Query

Scorecards

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Big Data

2020

2021

2022

Predictive Analytics Structured Data

Cloud Computing

2019

ADVANCE ANALYTICS

Unstructured Data

Technology Driven

2018

Descriptive Analytics Perspective Analytics

Structured Data Unstructured Data

Business Intelligence Data Visualization Statistical Analysis

ETL & Data Management ADHOC & Standard Reports

GLOBAL ADVANCED ANALYTICS- BUSINESS VALUE 90%

ADVANCE ANALYTICS

Risk Analysis

Financial Analysis

80%

Sales Analysis

70% Value of Analytics

Inventory Analysis

High Business Value

Market Analysis

60%

Increment Investment

50% 40% 30% 20% 10%

Customer Analysis

0% Business Value

Enterprise Growth

Data

Structured Data

Customer Data

Market Data

Sales Data

Investment

Unstructured Data

Product & Services Data

Financial Data

Enterprise Data

Inventory Data

 The information that was locked in Silos for years have found meaning and Advanced Analytic is driving force behind it.  Advance analytics has become an advantage for achieving a desired business outcome, higher end user profitability and efficient and effective business operations.  The rapid growth of Big Data is the key driver for this market. Also organizations have now realized the high ROI potential these tools provide.

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GLOBAL ADVANCED ANALYTICS MARKET- BROAD CATEGORIZATION

Has

Could

What Happened?

Descriptive    

Business Reporting Dashboards Scorecards Data Warehousing

Well defined business problem & opportunity

What

What Happen?

Predictive    

Data Mining Text Mining Web/Media Mining Forecasting

Impeccable projections of the future states and conditions

Should

Happen?

Prescriptive    

Optimization Simulation Decision Modelling Expert Systems

Best possible business decision and transactions

Enablers & Outcomes

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ADVANCED ANALYTIC MARKETS- BREAKDOWN *Base: 250 XX% XX%

XX%

Predictive

Descriptive

Prescriptive

Region Wise Adoption

XX% XX%

XX%

American Continet

XX%

Europe

Descriptive

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Predictive

 XX% of Users believe Predictive analytics is the way to go.  By end of 2016 the Predictive analytics market will be close to $XX billion  The Predictive Analytics market is estimated to grow at XX% for next XX years  Next few years we will see industry lean more towards prescriptive and predictive analytics.

XX%

MEA

XX%

XX% XX%

APEJC

 Predictive analytics has the most prominent place in American Continent.  America is the market leader in adoption of Advanced Analytics and this can seen as many innovations have come from west.  Our Analysis suggest that in next few years there will be in surge in MEA and Asia Pacific region towards Advanced Analytics. *APEJC- Asia Pacific except Japan & China *There are multiple response

Prescriptive

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GLOBAL ADVANCED ANALYTIC MARKETS: BY SIZE *Base: 250

By Size

XX% XX%

*Base: 250

XX% Large Enterprise

SMB XX%

*Large Businesses (greater than 999 employees)

XX%

*Small & Medium Businesses (1-999 employees)

XX%

Large Enterprise

SMB Adopted

Not Yet

 Adoption of Advanced Analytics have been greater in Large enterprises.  The enterprise tends to spend mainly on Technology that aligns to their business strategy.

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GLOBAL ADVANCED ANALYTIC MARKETS: REGION WISE USER BREAKDOWN

Europe

24%

American Continent

30%

MEA

18%

APEJC

28%

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX

*Base: 250 *APEJC- Asia Pacific except Japan & China

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GLOBAL ADVANCED ANALYTIC MARKETS: ADOPTION RATE XX%

XX%

American Continet

XX%

APEJC

Europe

XX% XX% XX%

XX% XX%

XX%

Cloud Based

On-premise Have Adopted

XX%

MEA

 No matter how much buzz cloud gathers, there is still a big elephant sitting in the room to be addressed i.e. security.  The security issue makes the adopter think. So the same can be seen here in selection of analytics solutions i.e. On- Premise based solution.  There is also greater emphasis on Hybrid model.

Hybrid (Mix Model)

Will Adopt

*Base: 250

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MARKET DRIVES FOR ADVANCED ANALYTICS: REASON FOR ADOPTION Reason for Adoption Data Based Decision making

XX%

Relationship with customers and business

XX%

Capability to respond to buying trends

XX%

Enablement of key initiatives

XX%

Risk and Reaction to Economic changes

XX%

New Product identification and creation Others (Value addition, Revenue, etc.)

XX% XX%

ď&#x192;ź Data Based decision making and to maintain relationship with customers is the primary reason for adoption.

*Base: 250 *Multiple responses

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WHY ADVANCED ANALYTICS- USER VIEWS

Value addition to the business

XX%

Address/predict customer needs

XX%

Manage data to drive growth

XX%

Increase profitability and drive growth

Meet supply demand

XX% XX%

To anticipate trends to act upon

XX%

Address revenue management

XX%

Value addition to existing structure (i.e., CRM)

XX%

 The outcomes that are expected by end users user through Advanced Analytics is to have a desired business solution and customer profitability in different industry vertical  Advanced Analytics will add value to business  It will address/predict customer needs  Hence better business performance, strategic decisions, and operational efficiency will be achieved in the enterprise

*Base: 250 *Multiple responses

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ADVANCED ANALYTICS SPENDING BY ORGANIZATIONS IN % XX% XX%

XX%

XX% XX% XX%

XX%

XX% XX%

XX%

Less than 1%

1% to 5%

10% to 15%

More than 15%

5% to 10%

Less than 1%

1% to 5%

5% to 10% Large Enterprise

10% to 15%

More than 15%

SMBs

*Base: 250

 The Average spending on Advanced Analytics has increased by XX% yearly.  Advanced Analytics is slowly capturing the eyes of all enterprises

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CHURN ANALYSIS Top Reasons for Unsatisfactory solution

Willing to Change Vendor

Cost is an issue

XX%

XX% Accessibility of the product

XX%

Yes

Unable to solve the need

XX%

Issues with Existing structure

XX%

*Base: 250

 Based on interviews and survey, XX% are ready to change vendors  The reasons to change:  Cost  Accessibility  Unavailability of need based solution  Issue relating to current structures  The opportunity for vendors lies in understanding the pain points of end users.

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PROJECT SCOPE

INNOVATION DOMINIONS

High

High Tableau

SAS

Microsoft Qlik

IBM

Knime

Microstrategy Genpact

CLIMBERS

Angoss

SDL Web

Tableau

Targit

RetailNext SDL Web

OpenText

Convergys

RapidMiner

INFOHOLIC FOUR WALL

SAS

2.5

Microsoft

2.4

Qlik

2.3

IBM

Microstrategy

1.7

Tibco

1.6

Knime

Capillary Tech

Alpine Data Cloudera Truven

1.9

Oracle

Accenture

Yellow Fin Accenture

END-USER

MARKET GROWTH

Dell

1.4 1

VENDORS’ LANDSCAPE

Pellucid MexiaInteractive

Wipro Kognitio

Low

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SwiftIQ

EMERGERS

BUSINESS STRATEGY

NoMi

Low

ADVANCED ANALYTICS INDEX- TABLEAU Tableau provides analytics and business intelligence software solutions in the

Vertical Mapping

United States, Canada, and international. The products use a range of interaction and database systems. They have over 26,000 customer across a range of company sizes and industries located in over 150 countries.

BFSI

XX%

technologies in domains such as computer graphics, human-computer

Manufacturing XX%

XX%

Healthcare

XX% Tableau is precise, elegant, and engaging with todays innovative markets and competitive practices by providing

Energy & Utilities

XX%

easy to use and powerful mapping and

Retail

Entertainment

XX%

charting abilities removes the inherent complexities of understanding SQL for business users.

Advance Analytics Factors

User Rating

Enterprise Usage Mapping

Ease of use

XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Cost of product/solutions

XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Scalability of the product/solutions

XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Vertical specific solutions

XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Vendor strength & reputation

XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

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SMB

XX% XX%

Large Enterprise

TOP VENDORS IN EACH VERTICAL- USER RATINGS Tableau

SAS

Microsoft

Oracle

IBM

RetailNext

Microsoft

SAS

Birst

IBM OptumHealth

Verisk Analytics

Retail

BFSI

Oracle

MedeAnalytics

XX XX

HealthCare

 The Top 5 Players from each verticals have been shown.  Ratings have been taken on a scale of 1-10 Microsoft

 It is purely based on user ratings

SAS

 User’s have rated these players based on IBM

MicroStrategy Tableau Dell

XX XX XX

IT & Telecom

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IBM

parameters  Product & Service  Cost of the product  Ease of Access  Innovation  Customer Relationship

Oracle

FICO

OpenText

 Brand Value

Manufacturing

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OTHER PROMINENT PLAYERS

Opportunity for these companies to climb the Infoholic Wall is visible by analysis. These companies may turn out to be a dominant force in coming years.

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ADVANCED ANALYTICS–KEY TRENDS  Advance analytics is going to be more prevalent in 2016 with the enhancement in the IoT, Artificial Intelligence, Big Data, Cloud Computing and Digital Intelligence technologies.

ADVANCED ANALYTICS TRENDS FOR 2016

 Big Data to Smart Data :Companies will look for new tools and new data sources that allow users to explore the data, then share their findings in a secure, governed, and interactive way.  Agile analytics is driving the data analytics to explore the data in a real time basis with the data trust and automated data testing by using agile tools and methods.  Advanced digital transformation and digital strategy will increase the customer value and business value  Advance Analytics: Advance guard for data security which is the key concern factor for business and technology leaders due to exponential growth in organisational data volumes.  High level integration between the consumer and industrial applications to get real time, valuable and actionable data insights.  Increased workforce and human resource capital : Talent Analytics is the prior analytics solution for C-Level Executives to achieve talent intelligence and employee engagement in the enterprise.  Sales analytics, Retail analytics: Advanced analytics platforms allow enterprise to have a glimpse into the future by studying hidden patterns and valuable insights on current and future consumer behaviours, product.  Advanced analytics model and algorithms is being embedded in augmented and cognitive computing to make the man-to-machine and machine-to-machine communications more understanding and natural for fast & better thought process and decision making process throughout the enterprise value chain.  Open source applications and crowd sourcing with a overreaching technological solution in different industries are making a way in the enterprise to make statistical and complex business process much more easier for the end users.  Data monetization to get micro level data insights and data accuracy for competitive advantage

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QUOTES-STAKEHOLDERS (END USER)

Network Analytics helsp the telecom operators to get insights about consumer behaviour & helps them to reduce churn & retain high revenue subscribers.

“

Sai Venkatesh Attaluri Head - Big Data Analytics

Vinod Gupta Director - Network Analytics

Netxcell Limited, India

Ericsson Global Services, India

“

There is a demand for Advance Analytics, however they need to be more structured to support this demand.

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“

In the current scenario, the academicians do research on sample data while the industry people work on actual data with their experience and intuition. Big Data and Advanced Analytics will be fruitful when the academicians and industry executives work together hand in hand collaboratively.

It will makes sense for small businesses to invest in Analytics provided the pricing of such tools are just about 2% to 3% of the turnover.

Haikel Latiff Iconicfuture GmbH

Debarshi Gooha CEO

Europe

Miller Marketing & Advertising

QUOTES-STAKEHOLDERS (END USER)

“

Advance Analytics is the future. Stakeholders use to make decisions on the existing data, and now it has stepped up to the next level where now everyone is trying to predict the future (while considering the past) to shape up their business.

Prithviraj Sr. Manager-Analytics

Dr Gnana Bharathy Systems Wisdom & HealthShare/ eHealth NSW Australia

“

Data science must be combined with design and diagnostic sciences to yield value.

Sapient, India

Data is the new premium. How we curate data, how we organise it to influence our demand and supply chain decisions, will be key to sustainable margins and competitive advantage for companies in the future. Productivity of nations used to be linked to land and capital in the old economy. Data is the energy of the future and smart data will be central to productivity of nations and their per capita income.

“

Prashant kumar President, Asia IPG- Malaysia

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QUOTES-STAKEHOLDERS (END USER)

â&#x20AC;&#x153;

The current market of Advanced Analytics and Data Science globally is not reaching its potential to transform corporates due to unqualified people employed into positions that require a specialization and noted experience. The only difference between Advanced Analytics and Data Science is the platform utilized. The one generates insights and leads using batch data from a data warehouse and the other enables insights and leads in real-time using complex event processing from a big data platform. The algorithm and models are largely the same. The fact that organizations split up Campaigns, MI, Advanced Analytics and Data Science into separate areas is testament to organizations recruiting unqualified employees and in so doing hindering the possibility of adequately leveraging the full power of data usage to become an organization asset and ultimately a game changer.

â&#x20AC;&#x153;

Aalia Kara Head: Advanced Analytics and Data Science Barclays Africa Group Limited Johannesburg, SA

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QUOTES-STAKEHOLDERS (VENDOR)

“

Analytics will become increasingly complex and time sensitive, spurred on by big data platforms such as Hadoop and tools such as Tableau and R. 'Efficiency' will become the new watch-word as businesses manage their investment in analytical Infrastructure cluster sizes will be kept in check. Kognitio will lead the way in ultra-efficiency for complex analytics offering dramatically better throughput with less effort on the Hadoop platform.

I believe that Industry 4.0 and Smart Cities initiatives will be particularly transformative for us in the coming decade; giving us more leisure time, improving our health, and making us happier. I encourage cities to take a leadership role, integrating and sharing their data in a global effort to better understand and improve our world.

“

Paul Groom Chief Operating Officer

Wael Elrifai Director of Enterprise Solutions & Big Data Guru

Kognitio, London

“

Jaydeep Deshpande Regional Marketing Manager Qlik, India & SAARC

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“

To us at KNIME, the very openness of great open platforms for data innovation makes perfect sense: They’re more powerful because they’re highly integrative, developed around transparency and trust, and they help organizations become more agile and collaborative in their data innovation, all with fewer risks, at lower cost and in less time. And it’s because of these advantages that we’re seeing a lot of large global organizations and institutions actively consider and adopt open platforms for their data science teams. Ultimately, we think that open platforms, their very committed users and their advanced ecosystems will bring about the most interesting breakthroughs in data-driven innovation.

“

Qlik compared to other market players has a different approach to the Advanced Analytic market. They are trying to make the solution which would have selfvisualization capability, which is could be operated by any personnel in the organization and need not have to worry about how it’s extracted to how it’s visualized. Other vendors in the market have a linier approach to the market and would require a personnel who is expert in data scientist to use the tool.

Pentaho, UK

Michael Berthold President, Knime AG, UK

INFOHOLIC’S OBSERVATION 

End users mainly compare Vendors using different criteria before finalizing one, depending on which is more valuable to their organizations:  Cost Parameter (important for Small and Medium Enterprise).  Features and benefits  Vendor’s Support and training  Integration to existing structure ( Mainly for Large Enterprise)



Demand for BI with Predictive Analytics (Advanced Analytics):  Products focused primarily on self-service Business Intelligence (e.g., data exploration, data visualization, dash boarding and reporting) are being enhanced with predictive features.  Some examples of these products are Microsoft Power BI, QlikSense, SAP Lumira, and Tableau, among others.

 Simplified Analytics:  Products that include basic features of BI but are primarily focused on advanced analytics and have simple, drag-and-drop or point-and-click interfaces with built-in automation features., These tools are built primarily for data driven users.  Example of this category include Alteryx, Alpine Data Labs' Enterprise Platform, SAP Predictive Analytics, SAS Visual Analytics/Visual Statistics, and TIBCO’s Spotfire.  Selecting the right Advanced Analytic solution in an enterprise will depend upon breadth of the deployment that an organization needs, skills of the workforce and nature of the decision makers that will depend upon it.  Predictive analytics has emerged as a leading solution and there should be right talent to use it. Lot will depend upon the usage of the technology

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INFOHOLICâ&#x20AC;&#x2122;S OBSERVATION i.

Training end user toward the use of Advanced Analytics can lead to higher adoption rate.

ii.

Cloud based Advanced Analytic solution is the way for future as many (XX%) users feel that adoption will increase.

iii.

Social, Email, Blogs, Video, Mobile analytics will continue to play a major role for all businesses.

iv.

Customers are and will seek Integrated Hardware and Software for Analytics Workloads.

Data Visualization is becoming a Business Requirement.

vi.

Organizations are Infusing Big Data Analytics into All Decision-Making Activities.

vii. Companies are Turning to Predictive Model Markup Language (PMML). viii. Health Care and BFSI verticals have been in the forefront of Adoption, the focus area will now shift toward less adopted verticals such as Manufacturing, Education Media etc. ix.

The growth in APEJC have been drive by Large enterprise, the focus will shift towards SMBs by offering price competitive solution.

In India Healthcare is least focused area, the opportunity certainly lies in driving the adoption in this area.

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ADVANCED ANALYTICS - AT A GLANCE

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ABOUT INFOHOLIC RESEARCH

Infoholic Research is a global ICT market research and consulting organization providing strategic and high-level market intelligence in emerging and niche technologies. Founded in 2014, we are headquartered in India with an office in U.S and with consultants working across the globe. Our market analysis powered by rigorous methodology and quality metrics provides information and forecast across all the emerging markets, technologies and business models. We aim at delivering high quality results to our clients providing them with in-depth industry insights to identify new business opportunities and nurture their business strategies.

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