Big Data Expo 2015 - Capgemini Big Data, Whtat's in it for me?

BIG DATA, WHAT’S IN IT FOR ME? -
SOME CUSTOMER CASES
Big Data Expo
Jorgen Heizenberg

Copyright © Capgemini 2015. All Rights Reserved
Insights & Data: Big Data Expo
We need to create Insights from Data where it delivers most
value: at the point of action
43%
Already restructuring
their organization for
big data opportunities
64%
Big Data is enabling new
revenue streams
54%
Investment in big data and
analytics will
outstrip past investment
73%
Big Data is providing
significant new business
opportunities
59%
Data is becoming a core
component of market
value
… as the centerpiece of digital change, it
enables Insights at the point of action,
creating entirely
new business value
Insights
DATA
The new data landscape
has no more limits to
volume, structure,
timing and what can be
analyzed in real-time …

In a world of connected people and things …
1,820TB of Data created
# Source: World Economic Forum
*Source: Gartner
168 Million+ emails sent 98,000+ tweets
11Million instant messages
217 new mobile web users
25 Billion Connected "Things"
in use in 2020*
3,5 Billion Cars
13,2 Billion consumer devices
695,000 status updates
698,445 Google searches
2.5 Billion social
network users in 2018

… the new data landscape is the centerpiece of digital change
……
IoTMobile
Cloud
Social
Media
New
Data Landscape
No limit to volume
No limit to structure
No limit to analyzing
No limit to timing

.... it evolves to meet the dual dimensions of Big and
Fast …
GB
TB
PB
GB/s
MB/s
KB/s
Day Hour Min Sec Sub-sec
BIG
FAST
Data Warehouses
Event
Processing
Tools
Hadoop
In-memory
databases
Historical
Data
StreamingData
(Events)
OLTP
Databases
It's all true after all:
size doesn’t matter.
It is really about the ability to
analyze and act in real
time…
…to solve tougher business
problems, create more
competitive advantage and
make informed decisions in
a tightly connected world.
If there is no longer
a need to wait, the
opportunities for radical
business reinvention
are limitless.*
*Source: Capgemini’s TechnoVision 2015
www.capgemini.com/technovision

15Copyright © Capgemini 2012. All Rights Reserved
Presentation Title | Date

16Copyright © Capgemini 2012. All Rights Reserved
Presentation Title | Date

… and make businesses thrive on insights from data in many
different ways …
FOUR WAYS
in which data-driven insights are
changes businesses
Efficiency and cost focus
Use of insights to identify
potential operational
efficiencies in the business
and so reduce costs. But
also: IT cost reduction
through modernization of
the data landscape,
leveraging next-generation
Big Data technology.
Growth of existing business
streams
Insights are used to
enhance existing market
offers through better
understanding of
customers/consumers
and of the effectiveness
of marketing & sales.
Growth through market
disruption from new revenue
streams
Big Data is changing
traditional business
boundaries. Enterprises
explore business areas that
were unknown or
unthinkable before.
Monetization of data itself,
with the creation of new lines
of business.
In some industries – such as
in financial services,
media & entertainment and
telecommunications - it is
already apparent that the
data organizations hold is
becoming their major
product.
Source: Big & Fast Data: The Rise Of Insight-driven Business

… creating direct business value.
Large number of offline
spreadsheets;
Manual adjustment based
on actual data from SAP;
Market forces ignored
An external data-driven
statistical sales forecast
solution; Automated and
Integrated with SAP
Better inventory
management,
production planning &
improved internal
governance
Predictive Analytics helps develop an external
market data-driven sales forecast model to
address key planning, reporting and analysis
requirements at Ferro
SAP
Accurate Sales Prediction,
Automated Short term
(1-Yr) and Long-term
(5-Yr) Forecast
High rail usage, complex assets,
increasing data volume
(track sensor data)
Reduce Maintenance Cost;
Improve Asset Availability
& Service Delivery
Reduced Maintenance effort &
Cost; Higher Asset availability;
Improved service & performance
Saved 112 MIO CAPEX
Saved 13 MIO OPEX
Linear Asset Decision Support solution, helps
Network Rail get access to enhanced insight at
the point of action, ensuring reduced
maintenance cost, higher asset availability and
improved service delivery
Linear Asset Decision Support solution;
Consolidated data, consistently available,
Visual, easy to interpret format; in the hands
of the track engineers
70Mn transactions in over 100,000
commodities amounting to INR16Bn
a year;
Prevalent tax evasion
Plug revenue leakage,
Improve tax compliance and
Expand taxpayer base
Financial Savings of
INR 560Mn ;
Improved dealer
satisfaction
Risk & Fraud analytics helps MSTD to
plug revenue leakage, improve tax compliance,
expand tax base and
enhance operating efficiency
Predictive models enabling
the detection of fraudulent
claims; Revenue
Forecast model
%
%
%

… creating direct business value.
Category & business
function management;
20,000 users globally
Enable quicker, aligned and
better informed decisions;
Robust solution that could scale
up for cost effective and quick
deployment; High user adoption
Improved business decisions –
from “best recommendation” to
“clear direction” and Insights
delivered 80% faster
Business Analytics at Global Scale transforms
the way Unilever
businesses around the world access
and use information, bringing enhanced
insight and consistency
3 year Transformation program -
enabling real time decision support -
with a single template across
business functions globally
CoE Model for the application development
factory to achieve economies of scale,
service consistency, quality and
competitive pricing
A phased deployment
approach to develop the
Global BI Factory
Process improvements
resulting in a 30%
productivity increase
Global Business Insights Service Factory, helps a
leading Beverage corporation reduce
administrative and overhead costs,
increase productivity and improve time to
approach the market
Single global BI Platform for all its business
users and regional
development needs
Information from job boards,
Institutions, LinkedIn and
other social media, videos,
company reports
Robust and consolidated
database; Insights from
large volume of data
They are is now able to
proactively address new
and future employment
regions and prospects
Big Data Solution Helps leverage widely available
job market information
to Improve Insight into Localized
Job Markets and drive business
growth and expansion
Big Data solutions to automate
and optimize the matching between
job offers and available skills in
local job market
A Leading Multinational
Beverage Company
A Global Employment Agency

Geo-based advanced analytics for optimized HR Services
at Global Employement Agency
 To better leverage the sheer volume
of job related information
increasingly available across various
sources, ranging from job boards,
Institutions, LinkedIn and other social
media, to videos and company reports
 Build a robust and consolidated
database which could be easily
accessed by job seekers and public &
private organizations
 Being more proactive in the job
market by anticipating
requirements/opportunities and
being able to fill positions quickly
› Leverage the information for its own
business growth and also develop new
HR services for public and private
companies
 In partnership with Cloudera,
worked on a proof of concept (PoC)
project to match job demand and
supply in a specific geography –
France
 Solution involved implementing
four major elements, which were
not present in the existing system:
› Cloudera Enterprise to store all data
and run the data modeling engine
› An SQL database running in
conjunction with Cloudera Enterprise
› A data visualization product and
› A solution to geo-code the
geographical data
 Also developed an algorithm to
identify job openings based on
the skills mentioned in the CVs
 The Big Data solution was
successful in delivering improved
insights into the job markets in
France, with users now
proactively able to match job
seekers with relevant openings
 Responsive, quick and user
friendly, with the ability to analyze
around 200,000 documents in only
two hours. Received good feedback
from users on its accuracy and
speed
 Following a successful and low-
cost POC, this project is now being
expanded to explore around 15
additional business use-cases
Successful PoC, leading to design of
proactive services addressing new and
future employment regions and
prospects
Read More about this:
Success Story Global Employment
Agency
Leverage widely available job
market information, to drive
business growth and expansion
Big Data solution in order to manage
and deliver rapid insights into the
sheer volume of data involved

But more data also creates more challenges …
53%
Do not follow top-down
approach for Big Data
strategy development
Have not completely
integrated their data
sources across the
organization
79%
Have robust processes
for data capture, curation,
validation and retention
35%
Scattered data lying in
silos across the
organisation
Do not have well-defined criteria to measure the success of their on
Big Data initiatives
67%
Absence of clear
business case
for funding and
implementation
54%
Do not have joint project
teams where business and
IT executives work together
on Big Data initiatives
47%
Have either scattered pockets
of resources or follow a
decentralized model for
analytics initiatives
Ineffective
co-ordination
of Big Data and
analytics teams
Use cloud based Big Data
and analytics platforms
36%
Dependence on
legacy systems
for data processing
and management

.. and organizations look for help on their Journey to Insights…
a
Massive
new data
sources
Finding
patterns
New
opportunities
Delivering
Business
outcome
Complex existing BI
landscape
A culture of
uninformed
decisions
Drowning in reports Data-savvy new
competitors

… Start with 7 Insights & Data Principles in mind…
Unleash Data and Insights
as-a-service
Make Insight-driven
Value a Crucial
Business KPI
Empower your People with
Insights at the
Point of Action
Develop an Enterprise Data
Science Culture
Master Governance,
Security and Privacy of your Data
Assets
Enable your Data Landscape
for the Flood coming from
Connected People and Things
Embark on the Journey
to Insights within your Business
and
Technology Context
1 2 3
7654

What’s next on your journey?

Predictive Sales Forecasting for the CFO at Ferro
About the Client:
Founded in 1919, Ferro
Corporation is a leading global
supplier of technology-based
performance materials for
manufacturers. The company
operates primarily in Europe and
in North America and has around
4,000 employees across 33
manufacturing sites around
the world
 The sales forecasting process
based on a large number of offline
spreadsheets, resulting in
tremendous manual effort and
time consumption
 The forecast numbers were often
manipulated based on actual data
downloaded from SAP, on a case-
to-case basis, resulting in a
projection which was an average of
historical data.
 The resulting forecasts were often
unreliable because they did not
take into account the
macroeconomic forces which
impacted the business.
 Developed a model using
regression analysis to factor in
economic trends to the sales
predictions to ensure more
accurate forecast and also provide
insights to the business about the
trends impacting demand for their
product/region
› Developed Economic Relationship
Hypothesis (ERH) to determine the
end-use markets for Ferro’s products
› Analyzed economic data from multiple
public and private sources to select
the right data provider for Ferro’s
business model.
› Performed regression analysis on
sales and economic data.
› Automated process by integrating with
Ferro’s existing ERP solution.
Robust, Integrated & Automated
product & region-level sales forecast
model based on external market forces
Success Story-Ferro
Improved corporate financial decisions
and better external guidance
Time consuming, manual forecasting
process, resulting in unreliable
forecasts
 Accurate Sales Prediction with
reduction in standard error of
forecast by 71%, resulting in better
inventory management &
production planning
 Automated Short term (1-Yr) and
Long-term (5-Yr) Forecast,
reduced budgeting & forecasting
cycle time
 Integrated with other plans like
operational planning ensured better
internal governance
 Organization wide transformation
from a supply chain way of
thinking to a demand-side view
based on future growth

Enabling Track Asset Decision Support at Network Rail
About the Client:
Network Rail owns and operates
most of the rail infrastructure in
Great Britain. With nearly 1.7Bn
passenger journeys made each
year, it aims to fulfill the vision of a
Safe, Reliable and Efficient Railway
 With anticipated increase in rail
usage, both in terms of higher
passenger numbers and more trains
on the track, there was a need to
find new ways to optimize the
management of its core assets
 To emerge as railway fit for the
future by embracing new, digital
technologies to generate
innovative insight to improve
service delivery
 The Office of Rail Regulation (the
industry regulator), had identified a
£1.7Bn saving to be made in
Network Rail’s spending plan for the
day-to-day running of the network
 Delivered a Linear Asset Decision
Support solution to track assets,
in collaboration with an external
vendor
› consolidating data from 14 asset
information systems into a single
digital solution
› ensuring consistently available
information in easy to interpret, visual
formats, at the point of action
› defining operating model for overall
business solution including
appropriate governance, data
management, and increased capability
of the solution users
 Used a "Model Office" approach
to harness the capabilities and
expertise of the Subject Matter
Experts from the business
 Enhanced insights helped Network
Rail to make better decisions
on how they manage their track
assets, by doing the right work,
in the right place, at the right time.
 Moving from time-based to
need-based maintenance by
placing the insights in the hands
of the track engineers, enabling
better coordination of track
maintenance
 Improved decisions also resulted
in more preventative track
maintenance, fewer asset faults and
failures, Increased asset
availability and Improved
customer experience for Network
Rail
Consolidated, visually represented
data and effective insights on
the Rail track assets, at the point of
action
Success Story Network Rail
YouTube video
>10% reduction in maintenance cost
and increased availability of asset
Improved service, performance, and
safety at lower total cost

Risk & Fraud Analytics for Maharashtra Sales Tax Department
About the Client:
The Maharashtra Sales Tax
Department (MSTD) is a major
revenue collecting body for the
Government of Maharashtra, India.
With a 58% share in the State
revenue, the department caters to
7,73,000 dealers and 23,00,000
enrolled profession taxpayers
across Maharashtra.
 Prevalent tax evasion by
under-reporting incomes or sales,
overstating deductions, exemptions,
or credits.
 Vast chunks of data from over
70Mn transactions in over 100,000
commodities amounting to INR16Bn
a year
 Absence of a consolidated view of
collections and operations
 Lack of appropriate tools to create
accurate forecasting inputs and
perform advanced analysis
 Automated the process of building
sophisticated predictive models
that enables the detection of
fraud through circular trading and
predictive analysis, using a
foundational layer of multi-tier SAS
environment for a DWH/BI and
Advanced Analytics Solution
› Proprietary algorithm and process to
identify carousel fraud
› Transaction and Dealer Risk Score
calculation to provide decision support
across various divisions
› Revenue Forecast model based on
appropriate technique. What-if
analysis tool for planning
 Implemented the Computerized
Desk Audit (CDA) for MSTD to
calculate the tax liability of dealers
 Enabled MSTD to spot potentially
fraudulent claims, detects
erroneous patterns of financial
reporting, close the gap between
revenue owed and collected and
expand its taxpayer base
 Improved service delivery by
actualizing Anywhere Anytime
services for website compliance,
enabling improved dealer
satisfaction due to easily available
information, and bringing
government services closer to the
doorsteps of citizens
 Enhanced operating efficiency
due to reduction in the tedious and
manual effort, with implementation
of dealer-facing e-service
End-to-end business intelligence, data
warehousing, and reporting solutionRead More about this:
Success Story MSTD
Plug revenue leakage, Improve tax
compliance and Expand taxpayer
base
Financial Savings of INR 560Mn,
Availability of additional man-hours
leading to further savings

Enhancing Business Analytics Capability at Unilever
About the Client:
Unilever, the British-Dutch
multinational corporation, is one
of the world’s largest consumer
goods companies, with two billion
people using its products every day
and 170 billion products bought
across 180 countries
every year
 Enable global category and
business function management,
through enhanced reporting with
consistent information
 Respond to industry and market
trends around ‘big data’ and use
consumer insights and point of sales
data more effectively
 Need a robust solution that could
scale up to meet ongoing growth
and deal with the ever growing
volumes of available data and to
deploy this solution cost
effectively and quickly
 Need for a simple & aligned
solution that people want to use as
part of their daily working life
 Business consulting, technology
and application management
support, across a wide range of
business functions and technologies
across four continents
› A number of functions already live
around integrated supply chain
analytics, EPOS reporting, HR
analytics, supplier intelligence and
spend analytics.
 Implementation of a technology
solution consisting of Teradata
EDW, Microsoft BI and SAP
Business Objects Data Services
 A 3-year roadmap in place
covering all business functions
and geographies with progress on
track to roll-out the new platform,
tools and processes
 Better decision making, based on
global, real-time data visibility
across categories, accounts and
segments
 Increased user adoption, which
empowers the users to create their
own queries using familiar and
intuitive toolsets
Further benefits planned and on track:
 Reduced system costs based on
decommissioning and reduced cost
of ownership
 Information enabled process
improvements, e.g. speed to
market, channel analysis, consumer
insights
Transformation program - enabling real
time decision support - with a single
template across business functions
globally
Business Analytics at Global Scale in
Unilever
Video: Unilever on Connect
Enabling quicker, aligned and better
informed decisions
Improved business decisions - from
“best recommendation”
to “clear direction” and Insights
delivered 80% faster

Developing a Global BI factory for A Leading Beverage Company
 Building Community of Excellence
(CoE), to achieve economies of scale,
service consistency, quality and
competitive pricing by leveraging
common technology
and skills across the application
development factory
 The Client also needed a proven player
to deploy one of their world’s largest
SAP Business Objects Platform to
handle their BI solutions, which are
being followed worldwide
 The Global BI Factory was one of four
organization teams focused under the
CoE, the others being – Collaboration
and Knowledge Management, Package
Solutions and Web & Mobile
 Adopted a phased deployment
approach to develop the
Global BI Factory, with focus on
quality, reduced timelines & cost
effectiveness
 Global BI Factory comprised MSBI
& BO-XI streams, along with
Distributed Project Management and
Architecture & Design
 Developed a single global BI
Platform, consisting of Data
Acquisition, Data Management,
Reporting & Integration of
bottler data
 Reporting elements including
adhoc reports, dashboards &
scorecards, built-in leveraging
BOXI Enterprise Reporting Platform
 The BI platform helped the
Beverage major to reduce
administration and overhead
costs by providing flexible and
effective ways to meet fluctuating
demand from Sales and Operations
 Flexible delivery models were
based on different project needs
such as turnkey, fixed bid, staff
augmentation, time and materials
 The company could see clear
business & IT roles and
responsibilities for data stewardship
& processing
 Deeper competencies and
thought leadership contribution
helped to improve time to approach
market
Single global BI Platform for all its
business users and regional
development needs
Process improvements resulting in a
30% productivity increase
Global BI needs addressed with focus
on quality, reduced timelines & cost
effectiveness
About the Client:
Multinational beverage corporation,
an acknowledged leader in the
manufacture, distribution, and
marketing of beverages across the
globe. Producing more than 3,500
products under 500 brands, it
operates in more than 200
countries, with 20 million customers

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