optimizing your big data environment to maximize your sap investment
DESCRIPTION
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.TRANSCRIPT
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
2 The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
What is transpiring in the market?
Exclusive Research from CIO magazine JANUARY 2014
2014 State of the CIO SURVEY
1
3 The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
Customer Value
Information Delivery Information Supply & Integration
Project-‐Marts
Project Data
Project Data
Project Data
EDW
Supplier
Product
Customer
Finance
Subject Area Data
Other
Other
Sandbox
TransAct Data
Staging & PSA
ODS
Information Management
Program & Data Governance Master Data Management Data Quality Framework
CR
M
ER
P
HR
O
ther
Mobile
Self-‐Service
Social Media
Volume Variety Velocity Sources
Internet
Cloud
Identify Organize Act Acquire
Use Case Analyze
Information Landscape Transformation The “New Normal” facing today’s data driven Organizations
4 The 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, and unstructured) • 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
phones worldwide • 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 Advanced Analytics
• 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
5 The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
What does a truly Optimized Environment offer?
Efficiency of data storage
Reduced investment in simply storing data
Increased Analytics and insights
Moving data to online storage where it is
accessible in its various forms
Offloading select data from legacy storage
mediums and platforms to low-cost, commodity
hardware
Combining structured and unstructured data to drive innovation thru analytics
Benefits
! 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
Data Optimization
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HANA is a key Component of an Optimized Data Strategy
HOT • Data is read and/or written frequently • In-Memory • All HANA features can be leveraged
• Recent Postings, Real Time Analytics, Management Reports, etc
WARM • 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
COLD • Sporadic access • Data stored outside HANA – NLS
storage • Features limited by NLS capabilities
• Sporadically accessed video content, data archived for older years etc
DATA V
OLU
ME
PE
RFO
RM
AN
CE
As an extension of a BI Strategy, this approach allows for the inclusion of unstructured data, leveraging technologies such as Hadoop and HANA as the In-‐Memory platform for most of the critical analytics, while less
expensive platforms could be leveraged for “colder” data and analytics.
Examples
7 The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
Utilities/Energy Companies: " Looking to move from
Smart Meter to Smart Charging for load balancing. Time & Load based charging & notification
" Proactive Customer Intervention based on load prediction to reduce need to turn on “peakers “
" Predictive Asset tracking and management
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
Telecommunication Companies: " Analyzing call data records
in real time to identify fraudulent behavior as well as Churn triggers immediately
" Tailoring marketing campaigns to individual customers using location-based and social networking technologies
" Using insights into customer behavior and usage to develop new products and services
Life Sciences Organizations: " 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 various systems challenging their ability to make valid data correlation and effective, predictive results
Retailers: " 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 predict product performance
SAP HANA
0.0 sec Instant Results + =
HADOOP
Infinite Storage
Real Time Business Results from Big Data
8 The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
HANA Use Cases – Ask yourself: What could make a difference?
SAP HANA
• Sales Analysis • Channel Performance • Segmentation • Product Launch • Market Intelligence • Contract & Revenue Mgmt.
Commercial Analytics
Big Data and Analytics
• Predictive Asset Maintenance • Trade Analytics • Sentiment Analysis • Products Online • Personalization
Supply Chain
• Collaborative demand reconciliation
• Multi-level inventory optimization (SmartOps)
• Increased forecast/planning frequency
• Scheduling simulations/modeling • Sales & Operations Planning
Finance
• Order to cash • Minimum margin notifications • DSO by product or service • Profitability/margin (COPA) • Financial close • Management Reporting • Forecasting / Planning
Quality
• Complaint tracking • Product/material analysis • Supplier performance • Scrap Cost Management • Yield Analytics
HANA can provide the central platform capability to support new as well as complex analytics .
9 The information contained in this document is proprietary. Copyright © 2014 Capgemini. All rights reserved.
Amazon Cloud
Dashboard & Analytics tools
Source ERP/ Datawarehouse
Solution
Mobile Apps & Enablement
In-memory Analytics
Accelerator (HANA)
Data Loading & Integration
AWS S3 File
System Datamart
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”
Benefits: " Can be made available
within minutes
" Robust enterprise-ready platform
" Pay only for time used, no infrastructure costs, and no lead-times
" 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 the business