Big, Fast and Predictive Data

7/21/2019 Big, Fast and Predictive Data

http://slidepdf.com/reader/full/big-fast-and-predictive-data 1/30

Big, Fast and Predictive DataHow to Extract Real Business Value – in real time. Pedro PereiraHead of Big Data, SAP MENA



© 2013 SAP AG. All rights reserved.

Brazil1

–7

Germany




AGENDA

Big, Fast and Predictive Data

Relevant

References

Breakthroughs that madeBig Data possible

Strategic Applicationof Big Data




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


http://slidepdf.com/reader/full/big-fast-and-predictive-data 5/30© 2013 SAP AG. All rights reserved.

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!



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



“You can’t tell innovative people to be innovative, but you can let t

BIG DATA EXPLOITATION REQUIRES

LEADERSHIP & V



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



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



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



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




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




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



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




Improve operational e"ciency… Create new business mo

NOW, HOW TOMAKE BIG DATA

HAPPEN?

GOT IT…




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




Real-TimeIn!nite & Low Cost Data Storage Existing RDBMS / DW

Uni

ed Big Data Platform for Modern Business pplication




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:




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:




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




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




CO-CREATION THROUGH DESIGN THINKING WO

NON-T




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



MAKING BIG DATA

REAL WITH SAP




ANTICIPATESCONSUMER

BEHAVIOR

EARLY SIGNALS DETECTION SYSTEM

“Pinpoint Market Signals toConnect Sellers and Buyers”




“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.



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



© 2013 SAP AG. All rights reserved. ©

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




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



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

Big, Fast and Predictive Data

Documents

Transcript of Big, Fast and Predictive Data