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In this age of big data, new technologies and methods have evolved and matured to the point where organizations are able to store and exploit the increasing volume, variety, and velocity of data and achieve true actionable intelligence to increase profits, enhance operational efficiency, and gain a competitive edge in the marketplace. Today’s business leaders are increasingly demanding integration with external sources such as social media, the Internet of Things, and data provided by third parties, in order to derive these meaningful and actionable insights.
Capgemini has a proven track record of assisting our customers exploit emerging technologies (such as Hadoop) together with their existing investments in advanced, in memory data platforms (such as SAP HANA) to create an optimized Big Data Environment that helps the organization achieve significant additional value from their data in return for relatively modest additional capital investment. By optimizing the environment and leveraging new technologies to compliment and extend the reach and capability of existing solutions, we help extend the value, reach, and capability of these existing investments and provide our customers with a richer analytical experience.
Join Capgemini to learn how we can assist SAP customers design and implement a robust reporting and analytics infrastructure that will transform big data into intelligence and intelligence into action.
Presented at SAPPHIRE NOW 2014.
Proprietary & Confidential
Optimizing your Big Data environment
to maximize your SAP investment
The information contained in this document is proprietary.
Copyright © 2014 Capgemini. All rights reserved.
Steve Stone – Capgemini Advanced Solutions Leader (NA
Business Information Management)
Scott Schlesinger – Senior Vice President; NA Business
Information Management Leader
2The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
What is transpiring in the market?
from CIO magazine JANUARY 2014
2014 State of the CIO
3The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
Information DeliveryInformation Supply & Integration
Program & Data Governance Master Data Management Data Quality Framework
Identify Organize ActAcquire
Information Landscape Transformation
The “New Normal” facing today’s data driven Organizations
4The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
What is the driving force for this New Normal?
Data explosion - creating opportunities to leverage Hadoop to offload data:
Increased costs to store and use large volumes of data (structured, semi-structured,
• Wal-Mart handles more than 1 million customer transactions every hour,
which is imported into databases estimated to contain more than 2.5 Petabytes of data.
• More than 5 billion people are calling, texting, tweeting and browsing on mobile
• 100 terabytes of data uploaded daily to Facebook
• According to Twitter's own research in early 2012, it sees roughly 175 million tweets
every day, and has more than 465 million accounts.
Desire (inability) to look forward - creating opportunities to use new data leveraging
• Life Sciences organizations want to reduce the time to market of new, effective, safe drugs.
However, clinical trial data, drug efficacy data, and market data is generally stored in
various formats in various systems challenging their ability to make valid data correlation
and effective, predictive results
• Retailers want to understand and predict how a new product will sell in a new market.
However, all too often there is no efficient means to organize distributed social media data
and couple with sales and demographic data to predict product performance
5The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
What does a truly Optimized Environment offer?
Reduced investment in
simply storing data
Moving data to online
storage where it is
accessible in its various
Offloading select data
from legacy storage
mediums and platforms to
Combining structured and
unstructured data to drive
innovation thru analytics
! Substantial Data Storage Cost Reduction freeing up funds to use for high value Analytics (self funding projects)
! Remove data from cold storage (tape) and make available for analysis
! Significant performance gains to your legacy environment
! Ability to perform analytical functions that were previously impossible leveraging existing and newly captured data
! Unlock significant untapped Business Value
6The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
HANA is a key Component of an Optimized Data Strategy
• Data is read and/or written frequently
• All HANA features can be leveraged
• Recent Postings, Real Time
• In-frequent access
• No need to keep in memory all the time
• All HANA features can be leveraged
• Older content - prior year
Management Reports, yearly
or quarterly data
• Sporadic access
• Data stored outside HANA – NLS
• Features limited by NLS capabilities
• Sporadically accessed video
content, data archived for
older years etc
7The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
" Looking to move from
Smart Meter to Smart
Charging for load
balancing. Time & Load
based charging &
" Proactive Customer
Intervention based on
load prediction to reduce
need to turn on “peakers “
" Predictive Asset tracking
Business Use Cases Across Various Sectors
Organizations of all types and of all sizes are thirsting for knowledge and need new means
to acquire, store, organize, optimize data
" Analyzing call data records
in real time to identify
fraudulent behavior as well
as Churn triggers
" Tailoring marketing
campaigns to individual
customers using location-
based and social
" Using insights into
customer behavior and
usage to develop new
products and services
" Desire to reduce the
time to market of new,
effective, safe drugs.
However, clinical trial
data, drug efficacy data,
and market data is
generally stored in
various formats in
challenging their ability
to make valid data
correlation and effective,
" Desire to understand and
predict how a new product
will sell in a new market.
However, all too often
there is no efficient means
to organize distributed
social media data
and couple with sales and
demographic data to
Real Time Business
Results from Big Data
8The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
HANA Use Cases – Ask yourself: What could make a difference?
• Sales Analysis
• Channel Performance
• Product Launch
• Market Intelligence
• Contract & Revenue Mgmt.
• Predictive Asset Maintenance
• Trade Analytics
• Sentiment Analysis
• Products Online
• Collaborative demand
• Multi-level inventory optimization
• Increased forecast/planning
• Scheduling simulations/modeling
• Sales & Operations Planning
• Order to cash
• Minimum margin notifications
• DSO by product or service
• Profitability/margin (COPA)
• Financial close
• Management Reporting
• Forecasting / Planning
• Complaint tracking
• Product/material analysis
• Supplier performance
• Scrap Cost Management
• Yield Analytics
9The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
Mobile Apps &
Capgemini’s Elastic Analytics is an end-to-end cloud
solution that enables you to benefit from advanced
analytics via Amazon Web Services (AWS).
Get Immediate Business Insights – from Strategy to Execution in minutes
using a Cloud based solution to quickly see “the art of the possible”
" Can be made available
" Robust enterprise-ready platform
" Pay only for time used, no
infrastructure costs, and no lead-
" Supports many leading
BI software solutions
and so can have same
look and feel as your
own data center
" Completely scalable to
meet the demands of