big, fast and predictive data
DESCRIPTION
Big, Fast and Predictive DataHow to Extract Real Business Value – in real time.Pedro PereiraHead of Big Data, SAP MENAGITEX 2014WHAT DO YOU EXPECTFROM BIG DATA FOR YOURLIFE AND BUSINESS?New questions you never knew to ask.Questions you never could afford to ask…Optimize Time withrelevant recommendations ofplaces to eat, drink andentertain…Better Health withearly detection of diseases…Happiness with smartcities that understands and reactquickly to the citizens needs…TRANSCRIPT
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Big, Fast and Predictive DataHow to Extract Real Business Value – in real time. Pedro PereiraHead of Big Data, SAP MENA
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Brazil1
–7
Germany
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AGENDA
Big, Fast and Predictive Data
Relevant
References
Breakthroughs that madeBig Data possible
Strategic Applicationof Big Data
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WHAT DO YOU EXPECT
FROM BIG DATA FOR YOUR
LIFE AND BUSINESS?
New questions you never knew to as
Questions you never could a!ord to ask…
Optirelevantplaces t
entertai
Bettearly de
Hapcities thquickly t
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CloudInternet of Things Mobile
TECHNOLOGY IS RE-SHAPING THE WO
Everything that can beconnected, will be
connected!
Information anywhere,anytime!
Ina
Infinite power ofcomputation in your
pocket!
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BIG DATA EXPLOITATION IS A NEW BUSINESS IM
“The (effective) use of big data will become akey basis of competition and growth
for individual firms.”
“Big Data isn’t just one more technology In fact, Big Data isn’t a technology initiait’s a business program that requires techn
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“You can’t tell innovative people to be innovative, but you can let t
BIG DATA EXPLOITATION REQUIRES
LEADERSHIP & V
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EXPLOITATION OF OIL IN THE 18TH CEN
John D. Rockefeller Adjusting for inflation, he is often regarded as the richest person in history.
John D. Rockefeller in 1885
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Andrew CarnegieCarnegie supplied the steel for Eads Bridge project across the Mississippi River at St. Louis,
(completed 1874). He led the enormous expansion of the American steel industry in the late
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BIG DATA’S - BIG BUSINESS
$300Billionin potentialannual value toUS health care -
more thandouble the totalannual healthcare spending inSpain
!250Billionin potentialannual value toEurope’s public
sectoradministration -more than GDPof Greece
$600Billionin potentialannualconsumer
surplus fromusing personallocation dataglobally
McKinseFron
60%
poteincreretai
opermargwith
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StrategicPlanning for5 - 10 years
Internet of Things Big Data
Readinessfor Innovation
O D E R N D T R C H I T E C T
Harness data as your new source of competitive adv
Volume
Variety
Velocity
Value
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Opportunity: Working on strategic programs that levera
KPI: Productivity
P r o d u c t i v i t y
TARGET
2013 2014 2015 2016
StrG
OpeG
ActualPerformance
Challengesof Future
Performance
ProjectedPerformance
Strategic Goals
STRATEGIC PROGRAMMaximize productivity usin
predictive maintenanautomated management of
Vision and Mission
C
B
A
Reduce the gap between actual and desired
performance with strategic programs that
leverage BIG DATA in different dimensions:
• Operational Efficiency
• Data Monetization
Increaseproductivity
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Opportunity: Working on strategic programs that levera
KPI: Customer Satisfaction
S a t i s f a c t i o n
I n d e x
TARGET
2013 2014 2015 2016
StrG
OpeG
ActualPerformance
Challengesof Future
Performance
ProjectedPerformance
Strategic Goals
STRATEGIC PROGRAM
Vision and Mission
Provide highly personato every customer in real-titheir precise location
Reduce the gap between actual and desired
performance with strategic programs that
leverage BIG DATA in different dimensions:
• Operational Efficiency
• Data Monetization
:-Improvecustomer
satisfaction
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Benefits from Big Data
Instantly predict market trends andsignals from within massive amounts of
data in real-time and with accuracy
Maximize productivity using predictivemaintenance and automatedmanagement of machinery and systems
Identify assets within an impendingstorm or hazard area and planappropriate response and actions
Monitor and analyze all deviations andquality issues in your productionprocess
Provide highly personaand exceptional servic
every customer in real-on their precise locatio
Predict, forecast, and ogreater insights & orgaperformance
Search and analyze unand multi-media data centerprise data for bro
Prevent accidents withresponse to location anenvironmental changes
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Improve operational e"ciency… Create new business mo
NOW, HOW TOMAKE BIG DATA
HAPPEN?
GOT IT…
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CRM
SUBSCRIBER DATA
ERP
PRODUCT CATALOG
BILLING DATA
NETWORK DATA
TRADITIONAL SOURCES EMERGING & NON-TRADITIONA
CLICKSTREAM
SERVER LOGS
ONLINE CHAT
CALL DETAIL
RECORDS
SENSOR DA
MERCHAN
LISTINGS
EXPLOSION OF NEW DATA SOURCE
Transact
ETL
Analyze
ETL
Accelerate
Cache
! 3 copies of data in different data models
! Inherent data latency
!
Poor innovation leading to wastage
Separated Transactions + Analysis+ Acceleration processes
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Real-TimeIn!nite & Low Cost Data Storage Existing RDBMS / DW
Uni
ed Big Data Platform for Modern Business pplication
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Real-Time In!nite & Low Cost Data Storage Existing RDBMS / DW
SAP HANA In MemoryPlatform
Uni ed Big Data Platform for Modern Business pplications
:-
BrandSentiment
R360O Customer
View
Real-time Demand/Supply Forecast
SMART DATA ACCESS
ADVADATA
Data Lake
Fast & Hot
Structured & Warm
Unstructured & Cold
Offload EDW
INNOBUS
Deployment Choice:
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SAP BIG DATA SOLUTION
SAP HANA In Memory Data Platform for Big Data
DATA LAKE – INFINITE STORAGE
EXTENDED STORAGE
SAP IQ / Non-SAP EDW
CRM
SUBSCRIBER DATA
ERP
PRODUCT CATALOG
BILLING DATA
NETWORK DATA
TRADITIONAL SOURCES EMERGING & NON-TRADITIONAL SOURCES
Data Virtualization | Real-Time Replication | SRS / SLT | ETL/ELT | Mobile Synch | Streaming
Integration Services
Inter& Mo
NEW ANALYSIS INSIGHTS (competitive advantages)
Recommendation engine
Brand health
Price Sensitivity
Top down clustering
Product Mix
Web Part Optimization
A/B testing
Predictive Maintenance
Statistical Analysis
BI / Reporting, AdHoc Analysis
SAPInfiniteInsight
Text AnalysisEngine
PredictiveLibraries
Disk-Based
Application Services(e.g. HTML 5 Server)
Geo SpatialAnalysis
+
Row and ColumnStore
No aggregates
(HSDA
Deployment Choice:
E RP
C RM
O t h er s
In-Memory
OLTP + OLAP
SDA
Deployment Choice:
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SAP BIG DATA SOLUTION
SAP HANA In Memory Data Platform for Big Data
DATA LAKE – INFINITE STORAGE
EXTENDED STORAGE
SAP IQ / Non-SAP EDW
CRM
SUBSCRIBER DATA
ERP
PRODUCT CATALOG
BILLING DATA
NETWORK DATA
TRADITIONAL SOURCES EMERGING & NON-TRADITIONAL SOURCES
Data Virtualization | Real-Time Replication | SRS / SLT | ETL/ELT | Mobile Synch | Streaming
Integration Services
Inter& Mo
NEW ANALYSIS INSIGHTS (competitive advantages)
Recommendation engine
Brand health
Price Sensitivity
Top down clustering
Product Mix
Web Part Optimization
A/B testing
Predictive Maintenance
Statistical Analysis
BI / Reporting, AdHoc Analysis
SAPInfiniteInsight NEW
NEW
Text AnalysisEngine
PredictiveLibraries
Disk-Based
Application Services(e.g. HTML 5 Server)
Geo SpatialAnalysis
+
Row and ColumnStore
No aggregates
(HSDA
Deployment Choice:
E RP
C RM
O t h er s
In-Memory
OLTP + OLAP
NEW SDA
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NEW POSSIBILITIES ONLY LIMITED BY OUR IMAGINATIIncrease/Protect Revenues and Improve Processes/Reduce Costs
:-
Brand Sentiment
360O Customer View
ProductRecommendation
Propensity to Churn Real-time Demand/Supply Forecast
Predictive Maintenance Network Optimization
Personalized CareAsset Tracking
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CO-CREATION THROUGH DESIGN THINKING WO
NON-T
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WORKING WITH DATA SCIENCE
Business Users & LOB Data SBusiness Analysts
Level Of Skill Set - Analytics
Low HighNo 97% 3%
Embedded AnalyticsIndustry & BusinessProcess Analytics
CustAnal
ADVANCED ANALYTICS CAPABILITIES
BIG DATABUSINESS OPPORTUNITIES
SAPLumira
SAP InfiniteInsight SAP Predictive Analysis SAP PALRS
In-Memory
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MAKING BIG DATA
REAL WITH SAP
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ANTICIPATESCONSUMER
BEHAVIOR
EARLY SIGNALS DETECTION SYSTEM
“Pinpoint Market Signals toConnect Sellers and Buyers”
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“From selling air compressors to compress
Machine health can bepredicted individually per
compressor.
Enables optimization of service
Provides highly valuable input fand development of its next-geequipment.
Enables comparison of a custo
utilization against contractuallycapacities helps avoid bottlene
Accelerates KAESER’s strategic transition to service provider for customers and separtners, substantially extending its market attractiveness and reach.
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What critical “new signals” Might you be missing?
10
$2.01B
Annual revenue increase possibility if the medianFortune 1,000 business increased the usability of
its data by just 10%
1,000%
return on investmenspent on analytics
Nucleus Rese
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QUESTIONS
&THANK YOU!
Pedro Pereira Head of Big Data Solutions, SAP [email protected] M: +971 56 416 2317Follow me on Twitter @Pereira_Pedro
R thi k & Si lif i t
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IN-MEMORREAL TIMDATA
PLATFOR
An innovative datamanagement and
application approach fortransactions, analytics andcustom development using
an in-memory platform
One in-memory atomic copTransactions + Analysis + Bu
! Eliminate unnecessary complexity
!
Less hardware to manage
! Accelerate through innovation and
Re-think & Simplify using new computaEliminate redundant data copies, materialization, models and wasted application code
Transact
ETL
Analyze
ETL
Accelerate
Cache
! 3 copies of data in different data models
! Inherent data latency
! Poor innovation leading to wastage
Separated Transactions + Analysis+ Acceleration processes
“In-memory computing will havea long-term, disruptive impact
by radically reducing overalltotal cost of ownership – lowerpower, cooling, floor space,resources and fewer servers.”
VS
Breakthroughs that Made Big Data Poss
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SAPHANA SAPIQ
Computing Platform Data Lake
ANALYTICS + DATA SCIENCE
Breakthroughs that Made Big Data Poss
In-Memory
:-
BrandSentiment
PredictiveMaintenance
NetworkOptimization
Insider Threats ProductRecommendation
PersonalizedCare
Asset Tracking Real-time Demand/Supply Forecast