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7/28/2019 How to Turn Big Data Into Business Value Making the Impossible Possible Oscar Trompe
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How to turn Big Data into Business value?making the impossible possible
OscarTromp
EMEA lead for SAP HANA
Internal
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2013 SAP AG. All rights reserved. 3
Speed of Business ChangeYears It Took to Reach a Market Audience of 50 Million
Radio
38 years
TV
13 years
Internet
4 years
iPod
3 years
2 years
The difficulty lies not so much in developingnew ideas as in escaping from old ones
(J ohn Maynard Keynes)
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2013 SAP AG. All rights reserved. 4
Retail & CPGSAP HANA will deliver real-time POS insight across full landscape
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2013 SAP AG. All rights reserved. 5
TelcoSAP HANA will deliver real time Offer Management
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2013 SAP AG. All rights reserved. 6
SAP HANA in Action:Query Performance in Telecommunications
Before SAP HANA With SAP HANA
9 seconds
10 minutes
Please refer to the latest HANA Hardware sizing for the latest certified hardware sizes for maximum storage size on HANA 1.0.
Above tests were done in the SAP Lab with customer data-sets.
Runs67x
faster2.8 seconds
analysis processing time
2000stores
2billion records
55million dimensions
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UtilitiesSAP HANA will deliver real-time Data Profiling as well as Grid
Operational Analysis
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ManufacuringSAP HANA will deliver real-time Margin Calculation/Analytics
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Oil & GasSAP HANA will deliver real-time analytics for maintenance
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Oil & Gas Complex Event Analysis
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SAP Advanced Planner and Optimizerwith liveCacheAnalyze huge amount of supply chain data from company and partner
processes
Real time information for planning issues including supply networkplanning, demand planning, production planning
Over 2000 customers
The evolution of In-Memory at SAP
SAP NetWeaver Enterprise Search
Search for data across different sources simultaneously
structured data(e.g. ERP applications & business intelligence data)
unstructured data (e.g. PDFs, Microsoft Office formats, HTML)
Single entry point for your work
2010 SAP High-Performance Analytic Appliance
2006 SAP NetWeaver BW Accelerator (BWA)
2004 SAP NetWeaver Enterprise Search (TREX)
1999 SAP Advanced Planner and Optimizer
SAP NetWeaver BW Accelerator (BWA)
Outstanding query performance for BW
TCO reduction for BW - no aggregations, less disk space, reduced
comlexety
Data latency reduction shortened rollup and change runs times
Over 1000 Customers
SAP High-Performance Analytic Appliance (HANA)
Analyze information in real-time at unprecedented speeds on large
volumes of non-aggregated data.
Create flexible analytic models based on real-time and historic businessdata
Foundation for new category of applications (e.g., planning, simulation) to
significantly outperform current applications in category
Minimizes data duplication
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SAP In-Memory computing
Application Layer
Data Layer
In-Memory Computing Imperative
Avoid movement of detailed data calculate first, then move results
High performant apps delegate data intense
operations to the in-memory computing
Todays applications execute many data
intense operations in the application layer
Client
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RetailSAP HANA will deliver real-time sales promotion as it happens
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2013 SAP AG. All rights reserved. 18
BankingSAP HANA will deliver real-time customer profiling as it happens
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2013 SAP AG. All rights reserved. 21
BankingSAP HANA will deliver real-time customer profiling as it happens
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2013 SAP AG. All rights reserved. 22
GamingSAP HANA will deliver real-time offer management
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2013 SAP AG. All rights reserved. 23
Because nowyou can
have split second answers to complicated questions
across your entire supply chain
instantly change your distribution based on actual
consumption and availability
instantly predict customer needs and revenue
opportunities
predict cash flows to manage collections, risk and short-
term borrowing in real time
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2013 SAP AG. All rights reserved. 24
How fast do you want to go??
Not everythingshould run at the
speed of HANA
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2013 SAP AG. All rights reserved. 25
Lets Win Together!Have a Great 2010!
No Limits
In-Memory Computing
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Thank You!
Contact information:
Oscar Trompe
EMEA lead for SAP HANA
http://www.saphana.com/
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