Capgemini’s Data WARP: Accelerate your Journey to Insights

Data WARP:
Accelerate your data journey to insights
Jorgen Heizenberg, xxxxxxxxxxxx

2Copyright © Capgemini 2016. All Rights Reserved
Data WARP: Accelerate your data journey to insights | May 2016
Capgemini’s Global Insights & Data practice
 Capgemini‘s global reach with operations in > 40
countries (180,000+ people) and a focus on
Insights & Data with close to 13,000 practitioners.
 Deep Industry sector knowledge supported by
Sector Specific I&D offerings like Single view of
customer.
 Capgemini’s best-in-class Rightshore® capability for
I&D for development and management– 4.000 I&D
experts in India CoE.
 An unmatched (and vendor independent) depth of
technology experience. Capgemini works with all
the major I&D software vendors to deliver solutions
appropriate to the customer’s needs.
 Strong Focus on Informatica with over 1.000
consultants and mutual service offerings like
Datawarehouse offload & Data Quality As A
Service.
Driving innovation with Informatica
Europe:
South Africa
Argentina
Brazil
Mexico
United States
Canada
Saudi Arabia India
Australia
China
Morocco
Austria
Finalnd
France
Italy
Germany
Norway
Netherlands
Poland
Spain
Sweden
Switzerland
UK

My wife wants a new bathroom …

I agree, but we disagree on the user interface and set of functional
requirements…

However, we have never discussed pipes and fittings..

Still, I don’t want any funny surprises ….

We live in a world of connected people and things …
*Source: Gartner
# Source: World Economic Forum
1,820TB of Data created
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

… and 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
HistoricalDataStreamingData(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

… 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
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
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
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
Information from job boards,
Institutions, LinkedIn and
other social media, videos,
company reports
Robust and
consolidated database;
Insights from large
volume of data
Randstad is now able to
proactively address new
and future employment
regions and prospects
Big Data Solution Helps Randstad to 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
Winner 2016
Innovation
Award

However, most supporting data landscapes still look like this…
.

On top of that - multiple challenges are already impacting the cost-
efficient management of your data…
Challenges
Increased
complexity
of data
TCO
escalates
Access or
Storage of
historical data
Structured
Unstructured /
semi-
structured
 Need to access large volumes of historical
data for regulatory or competitive reasons.
 Organizations often pay to store information
simply because they might need it
 Escalating data volumes can prevent Online
Transaction Processing (OLTP) systems
from generating and processing transactions
efficiently, and can cause Data Warehouse
(DW) performance issues when querying
data
 Total Cost of Ownership (TCO) escalates
rapidly because higher volumes of data
necessitate upgrades to the data warehouse
hardware and because licenses are priced
according to volume
 Complexity of your current data landscape
 Lack of agility in development of new
insights

The traditional approach to BI & Analytics is a bottleneck in the
operational value chain
Operational
Applications
Data
Warehouses
Data
Marts
Reports
Traditional BI & Analytics approach
 Heavy duplication in operational data
throughout the BI layers & systems.
 Insights latency.
 Diluted data quality & governance create
risks of security breach, compliance issues
& risk exposure.
 Each new business question asked = more
time required to crunch the right data.
 Significant costs - infrastructure and
people.
 Limited ability to scale - either from
organic data volumes growth or increasing
data complexity.
 Reporting on the past, limited ability to
predict and prescribe what is needed now.
 Centralised BI teams too monolithic and
divorced from the business operation.

It is time to move from your existing data landscape
Towards an optimized data landscape

In order to reach some of these potential benefits
 Cost reductions associated with data rationalization
 Cost reductions associated with less complexity
Reduce the TCO of your data environment
 Possibility to leverage structured, semi structured and even unstructured data
 Enable decision makers, business applications and operational processes
Improve your decision support
 Improved agility & time to market
 Better decisions enabled by better data quality or master data
Increased return on existing investment

Because it is difficult to decide on your transformation to the new data
landscape, you need three things…
Decision

First: What would your data landscape look like?
Decision
Industrialized, diagnostic
assessment of your data
landscape

Second: What is the roadmap that will get you there?
Decision
What are the specific actions plotted in
time to bring you towards an optimized
data landscape?

Third: The business case to quantify your benefits and justify the
investment for your organization!
Decision

Data WARP: Diagnosing the data-to-insights chain, focusing on data
landscape transformation
In 8 weeks, Data WARP will provide an exhaustive view of the rationalization design for your
data landscape, its transformation roadmap, and the end-to-end business case.
Based on that, you can to launch a transformation project.
Client
Strategy
Hypothesis
Destination Area
OutcomesDeliverables
Rationalization
Design
Transformation
Roadmap
Business Case
Tools
and Templates
Interviews and
Workshops
Architecture and Industry
Knowledge
Benchmarks
Data Landscape and Solutions
PLOT SCAN CRAFT SOLVE
DATA WARP – Wide-angle Rationalization Project for Data
Business Case and Value
Information, Governance and Maturity
Business Analysis and Drivers
Change Readiness and Transformational Roadmap
Data InfrastructureINFRA
AMBI
Stream BIZZ
Stream CASE
Stream PLAN
DATA
Vision, Architecture and Rationalization DesignStream PATH
6–8 weeks
Data Landscape
Transformation
Solution
Patterns
Landscape Transformations like:
 Offload to Hadoop
 Data rationalization
 Data archiving
 Data Quality
 and more …

Sample Transformation: Data Warehouse offload Architecture (AS-IS)
ETL
Business Intelligence Layer
Reports
Data Warehouse Layer
DWODS
Data Sources
DB Files

Sample Transformation: Data Warehouse offload Architecture (TO-BE)
with Informatica Big Data
Business
Intelligence
Layer
Semantic LayerData Sources
DB Files
Data Warehouse Layer
Data Warehouse
Data Services
ETL/ELT
Big Data Edition
ET/ELTL Life Cycle
Management
Profile Parse ETL
MatchCleanse
DataArchive

Leading you to a better, faster and cheaper data landscape
DWO using Hadoop enables clients to take full advantage of big data technologies to optimize the ratio
between the value of data and its storage costs, while also gaining extended capabilities to handle
complex data and providing users with a richer analytical experience.
Save…
 Infrastructure costs ~ Commodity
hardware and software is used for archived
data, lowering infrastructure costs
 License costs ~ License costs for existing
data warehouses are reduced because
less data needs to be stored there.
Solution
Highlights
Accelerate…
Transform…
 Build on the technology you already have,
rather than replacing or recreating it
 A single abstract layer – supports any future
BI visualization tools, makes it easy to add
information in future
 No change to the business definitions and
programming logic of the existing BI
structure.
 Unstructured and structured data combined for
inclusion in report
 Better data security and governance.
 Optimum performance by
Intelligent archiving.

0
2
4
6
8
10
12
With DWO After
Hadoop
DW
0
50
100
150
200
250
300
350
Before After
Hadoop
DW
For example with a great TCO reduction
 License Cost: The cost of license per TB significantly lower
for Hadoop compared to any appliance based solution
 Acquisition Cost: Cost of acquiring any appliance is higher
than cost of setting up a Hadoop cluster
 Deployment Cost: Quicker deployment of Hadoop
 Personnel: Reduction in number of critical and highly skilled
database administrators with lesser number of Hadoop
administrators.
 Storage: Reduced storage requirements on costly appliances
with increased storage on low cost Hadoop platform. Over
90% compression ratio can be achieved on Optimized file
archive data
 Archiving: Improves data governance as security and
retention policy can be defined
on the data.
Data Volume
DatainTB
Cost
CostinK$
*Informatica license cost not included in calculations

Sample Transformation: DQ As A Service with Informatica & Capgemini
combined Cloud offering

Providing you with high service against low cost, quickly...
 Comprehensive combination of software, hardware and services
 Delivered consistently via an industrialized process
 Dedicated team of highly qualified and experienced DQ experts works with a platform powered by Informatica,
the leader in this field.
Complete service delivered to the highest standards:
 Save 75% costs over three years compared with a traditional service
 Just pay a sign-up fee and monthly subscription – all software, infrastructure and staff costs are included
 Automation and Rightshore® keep costs down.
Low, predictable costs:
 Up and running in <4 weeks (compared with 4-6 months for traditional DQ services)
 Catalogue of over 200+ predefined DQ rules caters for most industries and geographies – and can be
customized and supplemented.
Quick start:

… with a simple and scalable solution
 Secure multi-tenanted environment, handling anything from a few 100,000 records to several million
 Dedicated tenant structure recommended for very large clients.
Flexible, scalable solution:
 Data and documentation provided in user-friendly formats
 Single point of contact for all queries.
Ease of use:

Summary
 Transformations in your data landscape can enable business value and
lead to IT cost reductions
 Your current landscape is already dealing with numerous issues
 To move forward you need to:
• Better understand your current landscape
• Better understand your future landscape
• Better understand the cost of the transformation
 Data WARP will deliver your performance against best practice
reference architecture, a transformation roadmap and a business case
to justify your investments,
 Data WARP will enable you to make a fact based decision on
transformations in your data landscape like offload, archiving, improved
data quality
 With a strong, proven and robust methodology

 Capgemini is named Informatica Global Partner
 Our partnership ensures we are well-linked to Informatica organization at all levels to provide the best service for our clients
 1,000+ Informatica-trained resources worldwide – across Informatica PowerCenter, Informatica Data Quality, Informatica
MDM and other Informatica tools
 Dedicated Informatica Centre of Excellence (CoE) for project and market consultation, competency building as well as
reporting and monitoring. We apply our core domain and business analysis expertise to create optimized Informatica objects
and striking a balance between performance and cost.
Capgemini and Informatica have a longstanding partnership
Capgemini has a Premium Partnership with Informatica.
Together Capgemini and Informatica deliver compelling and robust solutions to our clients
 Access to Informatica software for training,
demonstration, and integration purposes
 Access to online technical support and knowledge
base
 Access to Informatica software upgrades and patches
 Tele-support access
 Discounts on product training/certification
 Access to product/solution professional certification.
Benefits
 B2B Data
Transformation
 BigData
 Cloud
 CEP
 Data Quality
 Data Explorer
 Data Privacy
Product
portfolio
 PIM
 ILM
 Informatica MDM
 PowerCenter
 PowerExchange
Winner 2016
Innovation
Award

The information contained in this presentation is proprietary.
Copyright © 2016 Capgemini. All rights reserved.
Rightshore® is a trademark belonging to Capgemini.
www.capgemini.com
About Capgemini
With more than 180,000 people in over 40 countries, Capgemini
is one of With more than 180,000 people in over 40 countries,
Capgemini is one of the world's foremost providers of consulting,
technology and outsourcing services. The Group reported 2015
global revenues of EUR 11.9 billion. Together with its clients,
Capgemini creates and delivers business, technology and digital
solutions that fit their needs, enabling them to achieve innovation
and competitiveness. A deeply multicultural organization,
Capgemini has developed its own way of working, the
Collaborative Business Experience™, and draws on Rightshore®,
its worldwide delivery model.
Learn more about us at www.capgemini.com.

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