1. Why Big Data is Not Just For Big Companies
Manju Bansal
Sr. Director, Ecosystems & Channels Product Marketing
SAP

2. 3 Trends Today
Big Data explosion
Faster Pace of Business
Leaping Tech Cycles
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3. What Exactly is Big Data?
Typically, a collection of data sets
that are:
 Large and complex
 Difficult to work with using standard
database management tools
 Challenging to manage in terms of data
capture, storage, search, analysis, and
timeliness
“Without Big Data, you are blind and
deaf and in the middle of a freeway”
– Geoffrey Moore
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4. Where is All This Data Coming From?
 Transactional systems
 CRM Instant Messages
CRM Data
 Analytical systems
 Social media Mobile
Customer
 Supply chain
 Mobile devices
 Shop-floor sensors Things
 Other Demand
Sales Order
Transactions Opportunities
Planning Inventory
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5. Why Does It Matter?
Transformational Business Value From Data
Drive Better Profit Margins
Business
Operational Value New Strategies &
Efficiencies Business Models
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6. How Does Big Data Enable Business Transformation?
Velocity
Helps business owners solve
Instant Messages these critical data issues.
CRM Data
Mobile
Customer • Answer questions in real time,
without an interruption or delay
Things
Demand • Gain insights by connecting many
Sales Order different sources of information
Transactions Opportunities • Record all information related to the
Planning Inventory business for future analysis/reporting
Volume Variety
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7. But We Are Not a Big Company….
Big Data is NOT about how big or small the company is, it is about using data
as a competitive advantage
Retail
Imagine if you could enable shop floor staff to quickly gain access to specific customer
data while the customer was in the store (or online) so that they could provide
personalized (best match) services.
Wholesale Distribution
Imagine if you could rapidly and easily segment large customer populations and create
customized offers for each segment and channel.
Manufacturing
Imagine if you could determine how many parts were manufactured over time, their
costs, defect rates, any manufacturing inefficiencies, and all this could be done for
each discrete batch of products made, so you could predict malfunctions before they
happened.
Cross Industry
Imagine gaining insight into market trends & customer perception of brands and
products by combining information from CRM with unstructured data from online
channels like social media, wikis, and more.
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8. Case Studies
"The ability to assess the complex risk of funding a supplier in a split second is
just something that has never been possible…This opens an incredible new field
of financial applications, such as Taulia's Dynamic Discounting and Early Payment
solutions, but those are just the start. At Taulia, we can now understand more
data, more quickly, and more effectively than ever before.”
Markus Ament, Chief Product Officer
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9. Case Studies
“The combined solution enables users to analyze aggregated information from
multiple social media channels, identify influencers and persons of interest and
bring this social view into SAP CRM… The 300x performance boost provided by
SAP HANA is the reason that the solution can quickly carry out matching between
CRM and Social Media data and perform segmentation at high speeds.”
Lou Leporace, VP Product Marketing
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10. So, How Do We Start?
Identify a trusted software vendor / partner
 You will need a partner in this journey, find someone whom you can trust and who has the
critical experience in your area
Define the pain point you wish to address
 If you wish you could know more about / do certain things, what would that picture look like?
 Identify clearly the 2-3 pain points that you want to address (e.g. customer insight, social
media sentiment, supply chain efficiency etc)
Inventory your data streams
 Get a detailed look at where the data resides, where it is coming from, the frequency of the
data etc
Run a pilot
 Test, improve, rinse, repeat
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11. How Do We Know We Even Have a Big Data Problem?
You need Big Data solutions if your current IT systems limit your ability to:
Capture Report Analyze Predict Visualize
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12. Managing Volume, Velocity, Variety is Not Enough
Turn Big Data Into Intelligent Data
Big Data Intelligent Business
Data Results
Volume
Visibility
Velocity Value
Versatility
Variety
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13. Turn Big Data Into Intelligent Data
With SAP You Can
Action 1
100101
011010 Action 2
100101
Action 3
Build a Answer & analyze Unlock business Personalized
photographic any question value from diverse insights to
memory of your in real-time data sources everyone,
enterprise everywhere
 Simplify your IT  Identify high-value
 Store and analyze all landscape to transact, information from  Build a culture of
data within your analyze and act mountains of data data-driven decision
enterprise instantly making
 Drive insights to
 Access detailed  Answer questions at where they deliver  Give all business
records from any the speed of thought business value stakeholders access
point in time to information
wherever they are
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14. SAP Real-time Data Platform
Optimized for All Big Data Applications
SAP Business SAP Business SAP Big Data SAP Custom
SAP Analytics
Suite Warehouse Applications Mobile Apps
3rd Party
BI Clients
SAP NetWeaver (On Premise/Cloud)
SAP Real-time Data Platform
Open Developer API’s and Protocols
Sybase Power Designer
Common Landscape
SAP Sybase
Common Modeling
Scale-Out
HADOOP
NoSQL
SQLA
Management
MPP
SAP Sybase ASE SAP HANA Platform SAP Sybase IQ
SAP Sybase
ESP
SAP Sybase SAP Data
SAP MDG, MDM, DQ
Replication Server Services
Enterprise Information Management
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15. Manju.Bansal@sap.com
Paul.Clark@sap.com
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