Capgemini’s Data WARP: Accelerate your Journey to Insights

Data WARP:Accelerate your data journey to insightsJorgen 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

cargent

Add mini Informatica logo at bottom



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 socialnetwork users in 2018



… and the new data landscape is the centerpiece of digital change ……

IoTMobile

CloudSocialMedia

NewData LandscapeNo limit to volume

No limit to structureNo 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-memorydatabases

His

toric

al D

ata

Stre

amin

g D

ata

(Eve

nts)

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 longera 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 focusUse 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 streamsInsights are used to enhance existing market offers through better understanding of customers/consumersand of the effectivenessof marketing & sales.

Growth through market disruption from new revenue streamsBig 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 & businessfunction management;20,000 users globally

Enable quicker, aligned andbetter informed decisions;

Robust solution that could scaleup for cost effective and quick

deployment; High user adoption

Improved business decisions –from “best recommendation” to

“clear direction” and Insightsdelivered 80% faster

Business Analytics at Global Scale transforms the way Unilever

businesses around the world accessand use information, bringing enhanced

insight and consistency

3 year Transformation program - enabling real time decision support

- with a single template acrossbusiness 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 LocalizedJob 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 2016Innovation 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

DataWarehouses

DataMarts

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.

cargent

Add more colour to the boxes - top and bottom but not strong as the pink and blue boxes need to be seen the most.



It is time to move from your existing data landscape

Towards an optimized data landscape

cargent

improve - looks old fashioned arrow



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?

DecisionIndustrialized, 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

HypothesisDestination 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 Infrastructure INFRA

AMBI

Stream BIZZ

Stream CASE

Stream PLAN

DATA

Vision, Architecture and Rationalization DesignStream PATH

6–8 weeks

Data Landscape Transformation

SolutionPatterns

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

cargent

these slides look rather pale for a conference. Pleae add some colour to the cylinders maybe?



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

Match Cleanse

Data A

rchive



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.



With DWO After0

2

4

6

8

10

12

HadoopDW

Before After0

50

100

150

200

250

300

350

HadoopDW

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

Dat

a in

TB

Cost

Cos

t in

K$

*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 2016Innovation Award

What is next on your journey?

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 CapgeminiWith 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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Capgemini’s Data WARP: Accelerate your Journey to Insights

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