advance analytics benchmarking the enterprise growth

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ADVANCE ANALYTICS- BENCHMARKING THE ENTERPRISE GROWTHEND USER LANDSCAPE & VENDOR ANALYSIS

SAMPLE REPORT


TABLE OF CONTENTS

PROJECT SCOPE1.

Large Enterprise (<=1000 People)5.1.1

INTRODUCTION2.GLOBAL ADVANCED ANALYTICS- BUSINESS VALUE3.GLOBAL ADVANCED ANALYTICS MARKET- BROAD CATEGORIZATION 4.

Types of Analytics4.1Market Breakdown4.2

GLOBAL ADVANCED ANALYTICS MARKET- DEMAND SIDE BREAKDOWN5.By Organization Size5.1

SMB&E (1-999 People)5.1.2

American Continents5.2.1

By Region5.2

Europe5.2.2APECJ5.2.3MEA5.2.4

By Industry5.3


TABLE OF CONTENTS

BFSI5.3.1Healthcare & Life Science5.3.2IT & Telecom5.3.3Manufacturing & Automotive 5.3.4Retail5.3.5

GLOBAL ADVANCED ANALYTICS MARKET- ADOPTION RATE6.By Regions6.1By Advanced Analytics Models6.2Reason for Adoption – User View6.3

MARKET DRIVERS FOR ADVANCED ANALYTICS7.Top Capabilities and Features7.1Barriers to Adoption- User View7.2Parameters for Choosing Advanced Analytics- User View7.3

WHY ADVANCED ANALYTICS- USER VIEW8.

SPENDING BY ORGANIZATIONS9.IT Spending9.1


TABLE OF CONTENTS

Advanced Analytics Spending9.2

CHURN ANALYSIS10.

ADVANCED ANALYTICS- IMPACT SCALE11.

PORTER’s FIVE FORCE12.

PRICING OF THE PRODUCTS13.

USER VIEWS ON VENDORS- ON TOP PARAMETERS14.

INFOHOLIC’s FOUR WALL15.

VENDOR ANALYSIS16.By Top Vendors16.1By Verticals 16.2

OTHER PROMINENT PLAYERS17.

ADVANCED ANALYTICS USE- BY EXAMPLE18.

TECHNOLOGICAL GAME CHANGERS19.Analyst & Stakeholder’s View19.1Key Trends19.2Advanced Analytics Platforms-201619.3


TABLE OF CONTENTS

By End-Users20.1

STAKEHOLDER’s QUOTES20.

By Vendor’s20.2

INFOLOHIC’S OBSERVATION21.

ADVANCED ANALYTICS - AT A GLANCE22.

PROJECT METHODOLOGY23.

ABOUT INFOHOLIC RESEARCH24.


PROJECT SCOPE

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

Key Trends Impact Scale Churn Analysis Stakeholder’s Insight End User Vendor

Advanced Analytics Use: By Examples Key Trends Strategic Recommendations

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

End-User Vendors

* APEJC-Asia Pacific Except Japan & China


INTRODUCTION

2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

Traditional Analytics Advanced Analytics

ANALYTICS GROWTH MATRIX

TRADITIONAL ANALYTICS

Business Intelligence

Unstructured Data

Structured Data

Traditional Analytics Capabilities

Reporting Monitoring Dashboards

OLAP ADHOC Query Scorecards

Technology Driven

Cloud Computing Big Data

ADVANCE ANALYTICS

Predictive Analytics

Descriptive Analytics

Perspective Analytics

Structured Data

Unstructured Data

Business Intelligence

Data Visualization ETL & Data Management

Statistical Analysis

ADHOC & Standard Reports


GLOBAL ADVANCED ANALYTICS- BUSINESS VALUE

Sales Analysis

Market Analysis

Customer Analysis

Financial Analysis

Risk Analysis

Inventory Analysis

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Business Value Investment

Valu

e of

Ana

lytic

s

Enterprise Growth

ADVANCE ANALYTICS

IncrementInvestment

High Business Value

Data

Structured Data Unstructured Data

Customer Data Market Data Sales 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.


GLOBAL ADVANCED ANALYTICS MARKET- BROAD CATEGORIZATION

Business Reporting Dashboards Scorecards Data Warehousing

Well defined business problem & opportunity

Descriptive

Data Mining Text Mining Web/Media Mining Forecasting

Impeccable projections of the future states and conditions

Optimization Simulation Decision Modelling Expert Systems

Best possible business decision and transactions

What HasHappened?

What CouldHappen?

What ShouldHappen?

Enablers & Outcomes

Predictive Prescriptive


ADVANCED ANALYTIC MARKETS- BREAKDOWN

XX%

XX%

XX%

Predictive Descriptive Prescriptive

*Base: 250

XX% XX% XX% XX%XX%

XX% XX%XX%XX%

XX% XX% XX%

AmericanContinet

Europe MEA APEJC

Region Wise Adoption

Descriptive Predictive Prescriptive

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.

Predictive analytics has the most prominent place in AmericanContinent.

America is the market leader in adoption of Advanced Analyticsand this can seen as many innovations have come from west.

Our Analysis suggest that in next few years there will be in surge inMEA and Asia Pacific region towards Advanced Analytics.

*APEJC- Asia Pacific except Japan & China*There are multiple response

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GLOBAL ADVANCED ANALYTIC MARKETS: BY SIZE

XX%

XX%

By Size

Large Enterprise SMB

XX%

XX%

XX%

XX%

Large Enterprise SMB

Adopted Not Yet

*Base: 250

*Large Businesses (greater than 999 employees)

*Small & Medium Businesses (1-999 employees)

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

*Base: 250

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GLOBAL ADVANCED ANALYTIC MARKETS: REGION WISE USER BREAKDOWN

MEA 18%American Continent

30%

Europe 24%

APEJC 28%

*Base: 250

*APEJC- Asia Pacific except Japan & China

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX




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GLOBAL ADVANCED ANALYTIC MARKETS: ADOPTION RATE

XX%

XX%

XX%XX%

XX%

XX%

Cloud Based On-premise Hybrid (Mix Model)

Have Adopted Will Adopt

XX%XX% XX%

XX%

American Continet APEJC Europe MEA

No matter how much buzz cloud gathers, there isstill a big elephant sitting in the room to beaddressed i.e. security.

The security issue makes the adopter think. So thesame can be seen here in selection of analyticssolutions i.e. On- Premise based solution.

There is also greater emphasis on Hybrid model.

*Base: 250

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MARKET DRIVES FOR ADVANCED ANALYTICS: REASON FOR ADOPTION

XX%

XX%

XX%

XX%

XX%

XX%

XX%

Others (Value addition, Revenue, etc.)

New Product identification and creation

Risk and Reaction to Economic changes

Enablement of key initiatives

Capability to respond to buying trends

Relationship with customers and business

Data Based Decision making

Reason for Adoption

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

Address/predict customer needs

Manage data to drive growth

Increase profitability and drive growth

Meet supply demand

To anticipate trends to act upon

Address revenue management

XX%

XX%

XX%

XX%

XX%

XX%

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%

Less than 1% 1% to 5% 5% to 10%

10% to 15% More than 15%

XX%

XX%

XX%

XX%

XX%

XX%

XX%

XX%

XX%

XX%

Less than 1% 1% to 5% 5% to 10% 10% to 15% More than 15%

Large Enterprise SMBs

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

*Base: 250

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CHURN ANALYSIS

XX%

XX%

Willing to Change Vendor

Yes No

XX%

XX%

XX%

XX%

Issues with Existing structure

Unable to solve the need

Accessibility of the product

Cost is an issue

Top Reasons for Unsatisfactory solution

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.

*Base: 250

SAMPLE PAGES


PROJECT SCOPE

Alpine Data

Kognitio

Truven

Cloudera

WiproSwiftIQ

Capillary Tech

MexiaInteractivePellucid

NoMi

EMERGERS

SDL Web

OpenText

Dell

Targit

SDL Web

Yellow Fin

RetailNext

Accenture

Convergys

RapidMiner

TableauSASMicrosoft

Qlik IBM

MicrostrategyKnime

GenpactHP

Angoss

DOMINIONSHigh

Low

CLIMBERS

Low

High

INNOVATION

END

-USER

BUSINESS STRATEGY

MAR

KET

GRO

WTH

INFOHOLICFOUR WALL

1

1.4

1.6

1.7

1.9

2

2.3

2.4

2.5

3

Knime

Accenture

Tibco

Oracle

Microstrategy

IBM

Qlik

Microsoft

SAS

Tableau

VENDORS’ LANDSCAPE


ADVANCED ANALYTICS INDEX- TABLEAU

XX%

XX%

XX%XX%

XX%

XX%

Vertical Mapping

BFSI

Manufacturing

Retail

Healthcare

Energy & Utilities

Entertainment

Advance Analytics Factors User Rating

Ease of use XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Cost of product/solutions XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Scalability of the product/solutions XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Vertical specific solutions XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Vendor strength & reputation XXXXXXXXXXXXXXXXXXXXXXXXXXXXX

XX%

XX%

Enterprise Usage Mapping

SMB

Large Enterprise

Tableau provides analytics and business intelligence software solutions in the

United States, Canada, and international. The products use a range of

technologies in domains such as computer graphics, human-computer

interaction and database systems. They have over 26,000 customer across a

range of company sizes and industries located in over 150 countries.

Tableau is precise, elegant, and engaging with todays innovative markets and

competitive practices by providing easy to use and powerful mapping and

charting abilities removes the inherent complexities of understanding SQL for

business users.

SAMPLE PAGES


TOP VENDORS IN EACH VERTICAL- USER RATINGS

XX

XX

XX

XX

XX

Oracle

IBM

Microsoft

SAS

Tableau

BFSI

XX

XX

XX

XX

XX

MedeAnalytics

Verisk Analytics

Oracle

OptumHealth

IBM

HealthCare

XX

XX

XX

XX

XX

Dell

Tableau

MicroStrategy

IBM

Microsoft

IT & Telecom

XX

XX

XX

XX

XX

OpenText

FICO

Oracle

IBM

SAS

Manufacturing

XX

XX

XX

XX

XX

Birst

Microsoft

IBM

RetailNext

SAS

Retail

The Top 5 Players from each verticals have

been shown.

Ratings have been taken on a scale of 1-10

It is purely based on user ratings

User’s have rated these players based on

parameters

Product & Service

Cost of the product

Ease of Access

Innovation

Customer Relationship

Brand Value

SAMPLE PAGES


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.


ADVANCED ANALYTICS–KEY TRENDS

ADVANCED ANALYTICS TRENDS FOR 2016

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.

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


QUOTES-STAKEHOLDERS (END USER)

Sai Venkatesh AttaluriHead - Big Data AnalyticsNetxcell Limited, India

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.

“ “Haikel LatiffIconicfuture GmbHEurope

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

“Vinod GuptaDirector - Network AnalyticsEricsson Global Services, India

Network Analytics helsp the telecom operators to get insights about consumer behaviour & helps them to

reduce churn & retain high revenue subscribers.“ “Debarshi GoohaCEOMiller Marketing & Advertising

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.“ “



Dr Gnana BharathySystems Wisdom & HealthShare/ eHealth NSW Australia

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

“

PrithvirajSr. Manager-AnalyticsSapient, India

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.

“ “Prashant kumarPresident, AsiaIPG- Malaysia

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.

“ “



Aalia KaraHead: Advanced Analytics and Data ScienceBarclays Africa Group LimitedJohannesburg, SA

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.

““


QUOTES-STAKEHOLDERS (VENDOR)

Paul GroomChief Operating OfficerKognitio, London

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.

“ “

Wael ElrifaiDirector of Enterprise Solutions & Big Data GuruPentaho, UK

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.

“ “Jaydeep DeshpandeRegional Marketing ManagerQlik, India & SAARC

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 self-

visualization 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.

“ “

Michael Berthold President, Knime AG, UK

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.

“

“


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


INFOHOLIC’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.

v. 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.

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


ADVANCED ANALYTICS - AT A GLANCE


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