gitex big data conference 2014 – sap presentation

Big, Fast and Predictive Data How to Extract Real Business Value – in real time. Pedro Pereira Head of Big Data, SAP MENA GITEX 2014

©  2013 SAP AG. All rights reserved. 2

Brazil 1 – 7 Germany


AGENDA Big, Fast and Predictive Data

Relevant References

Breakthroughs that made Big Data possible

Strategic Application of Big Data


WHAT DO YOU EXPECT FROM BIG DATA FOR YOUR LIFE AND BUSINESS?

New questions you never knew to ask. Questions you never could afford to ask…

Optimize Time with relevant recommendations of places to eat, drink and entertain…

Better Health with early detection of diseases…

Happiness with smart cities that understands and react quickly to the citizens needs…


Cloud Internet of Things Big Data Mobile

TECHNOLOGY IS RE-SHAPING THE WORLD

Everything that can be connected, will be

connected!

Information anywhere, anytime!

Insights about every aspect of our lives!

Infinite power of computation in your

pocket!


BIG DATA EXPLOITATION IS A NEW BUSINESS IMPERATIVE

“The (effective) use of big data will become a key basis of competition and growth

for individual firms.”

“Big Data isn’t just one more technology initiative. In fact, Big Data isn’t a technology initiative at all, it’s a business program that requires technical savvy”


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

BIG DATA EXPLOITATION REQUIRES LEADERSHIP & VISION


EXPLOITATION OF OIL IN THE 18TH CENTURY

John D. Rockefeller Adjusting for inflation, he is often regarded as the richest person in history.

John D. Rockefeller in 1885 1870


Andrew Carnegie Carnegie supplied the steel for Eads Bridge project across the Mississippi River at St. Louis, Missouri (completed 1874). He led the enormous expansion of the American steel industry in the late 19th century. 1870


BIG DATA’S - BIG BUSINESS

$300 Billion in potential annual value to US health care - more than double the total annual health care spending in Spain

€250 Billion in potential annual value to Europe’s public sector administration - more than GDP of Greece

$600 Billion in potential annual consumer surplus from using personal location data globally

McKinsey: Big Data - The Next Frontier report. Sept. 2011

60% potential increase in retailers’ operating margins possible with Big Data


Strategic Planning for 5 - 10 years

Internal Pressure

Uncertainties

Exogenous Factors

Cloud Internet of Things Big Data Mobility

Readiness for Innovation

+5-10 Years M O D E R N D ATA A R C H I T E C T U R E

Harness data as your new source of competitive advantages

Fully Integrated

Volume

Variety Velocity

Value

SAP HANA the Big Data Platform


Opportunity: Working on strategic programs that leverage Big Data

KPI: Productivity

Prod

uctiv

ity

TARGET

2013 2014 2015 2016

Strategic Gains

Operational Gains

Actual Performance

Challenges of Future

Performance

Projected Performance

Strategic Goals

STRATEGIC PROGRAM Maximize productivity using predictive maintenance and automated management of machinery

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

Increase productivity


Opportunity: Working on strategic programs that leverage Big Data

KPI: Customer Satisfaction

Satis

fact

ion

Inde

x

TARGET

2013 2014 2015 2016

Strategic Gains

Operational Gains

Actual Performance

Challenges of Future

Performance Projected

Performance

Strategic Goals

STRATEGIC PROGRAM

Vision and Mission

Provide highly personalized offers to every customer in real-time based on their precise location

Reduce the gap between actual and desired performance with strategic programs that leverage BIG DATA in different dimensions: •  Operational Efficiency

•  Data Monetization

:-) Improve

customer satisfaction

Benefits from Big Data

Instantly predict market trends and signals from within massive amounts of data in real-time and with accuracy

Maximize productivity using predictive maintenance and automated management of machinery and systems

Identify assets within an impending storm or hazard area and plan appropriate response and actions

Monitor and analyze all deviations and quality issues in your production process

Provide highly personalized offers and exceptional service levels to every customer in real-time based on their precise location

Predict, forecast, and optimize for greater insights & organizational performance

Search and analyze unstructured and multi-media data combined with enterprise data for broader insights

Prevent accidents with real-time response to location and environmental changes


Improve operational efficiency… Create new business models…

NOW, HOW TO MAKE BIG DATA HAPPEN?

GOT IT…


CRM

SUBSCRIBER DATA

ERP

PRODUCT CATALOG

BILLING DATA

NETWORK DATA

TRADITIONAL SOURCES EMERGING & NON-TRADITIONAL SOURCES

CLICKSTREAM

SERVER LOGS

ONLINE CHAT

CALL DETAIL RECORDS

SENSOR DATA

MERCHANT LISTINGS

SOCIAL MEDIA

DMP

EXPLOSION OF NEW DATA SOURCES

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-Time Applications Infinite & Low Cost Data Storage Existing RDBMS / DW

OLTP OLAP

Unified Big Data Platform for Modern Business Applications


Real-Time Applications Infinite & Low Cost Data Storage Existing RDBMS / DW

SAP HANA In Memory Platform

Unified Big Data Platform for Modern Business Applications

:-) Brand

Sentiment Predictive

Maintenance

Network Optimization

Personalized Care

Product Recommendation

Asset Tracking

360O Customer View

Real-time Demand/ Supply Forecast

Fraud Detection

SMART DATA ACCESS

ADVANCED ANALYTICS & DATA SCIENCE TECHNIQUES

Data Lake

Fast & Hot

Structured & Warm

Unstructured & Cold

Offload EDW

INNOVATIVE MODERN BUSINESS APPLICATIONS


SAP BIG DATA SOLUTION

SAP HANA In Memory Data Platform for Big Data

DATA LAKE – INFINITE STORAGE

Petabytes / Zettabytes

INFINITE STORAGE EXTENDED STORAGE

SAP IQ / Non-SAP EDW

Extended Real-Time Platform and EDW

CRM

SUBSCRIBER DATA

ERP

PRODUCT CATALOG

BILLING DATA

NETWORK DATA


Data Virtualization | Real-Time Replication | SRS / SLT | ETL/ELT | Mobile Synch | Streaming

Integration Services

Interactive Web & Mobile Apps

Enterprise Applications

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, Ad Hoc Analysis

SAP InfiniteInsight

Text Analysis Engine

Predictive Libraries

Disk-Based

Application Services (e.g. HTML 5 Server)

Geo Spatial Analysis

+

Row and Column Store

No aggregates

HDFS (Hadoop Distributed File System)

SDA

Deployment Choice: On-Premise, Cloud or Hybrid

ER

P

CR

M

Others

In-Memory

OLTP + OLAP

SDA


SAP BIG DATA SOLUTION

SAP HANA In Memory Data Platform for Big Data

DATA LAKE – INFINITE STORAGE

Petabytes / Zettabytes

INFINITE STORAGE EXTENDED STORAGE

SAP IQ / Non-SAP EDW

Extended Real-Time Platform and EDW

CRM

SUBSCRIBER DATA

ERP

PRODUCT CATALOG

BILLING DATA

NETWORK DATA


Data Virtualization | Real-Time Replication | SRS / SLT | ETL/ELT | Mobile Synch | Streaming

Integration Services

Interactive Web & Mobile Apps

Enterprise Applications

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, Ad Hoc Analysis

SAP InfiniteInsight NEW

NEW

Text Analysis Engine

Predictive Libraries

Disk-Based

Application Services (e.g. HTML 5 Server)

Geo Spatial Analysis

+

Row and Column Store

No aggregates

HDFS (Hadoop Distributed File System)

NEW SDA

Deployment Choice: On-Premise, Cloud or Hybrid

ER

P

CR

M

Others

In-Memory

OLTP + OLAP

NEW SDA


NEW POSSIBILITIES ONLY LIMITED BY OUR IMAGINATION Increase/Protect Revenues and Improve Processes/Reduce Costs

:-) Brand Sentiment

360O Customer View

Product Recommendation

Propensity to Churn Real-time Demand/ Supply Forecast

Predictive Maintenance

Fraud Detection

Network Optimization

Insider Threats

Risk Mitigation, Real-time

Personalized Care Asset Tracking


CO-CREATION THROUGH DESIGN THINKING WORKSHOPS

NON-TECHNICAL


WORKING WITH DATA SCIENCE

Business Users & LOB Data Scientist Business Analysts Level Of Skill Set - Analytics

Low High No 97% 3% >0.1%

Embedded Analytics Industry & Business Process Analytics

Custom Analytics

ADVANCED ANALYTICS CAPABILITIES

BIG DATA BUSINESS OPPORTUNITIES

SAP Lumira SAP InfiniteInsight SAP Predictive Analysis SAP PAL R Integration

SAS Integration

In-Memory

MAKING BIG DATA

REAL WITH SAP


ANTICIPATES CONSUMER BEHAVIOR

EARLY SIGNALS DETECTION SYSTEM

“Pinpoint Market Signals to Connect Sellers and Buyers”


“From selling air compressors to compressed air”

Machine health can be predicted individually per

compressor.

Enables optimization of service processes. Provides highly valuable input for the research and development of its next-generation equipment. Enables comparison of a customer’s station utilization against contractually-agreed capacities helps avoid bottlenecks in supply.

Accelerates KAESER’s strategic transition to service provider for customers and service supplier for partners, substantially extending its market attractiveness and reach.

What critical “new signals” Might you be missing?

10%

75%

Use Analytics Today

Need Analytics by 2020

$2.01B Annual revenue increase possibility if the median Fortune 1,000 business increased the usability of its data by just 10%

1,000% return on investment for every $1 spent on analytics

Nucleus Research, Gartner, Fortune Magazine

©  2013 SAP AG. All rights reserved. 28 © 2014 SAP AG. All rights reserved.

QUESTIONS &

THANK YOU!

Pedro Pereira Head of Big Data Solutions, SAP MENA [email protected] M: +971 56 416 2317 Follow me on Twitter @Pereira_Pedro


IN-MEMORY REAL TIME

DATA PLATFORM

An innovative data management and

application approach for transactions, analytics and custom development using

an in-memory platform

One in-memory atomic copy of data for Transactions + Analysis + Built-in Engines

�  Eliminate unnecessary complexity and latency �  Less hardware to manage �  Accelerate through innovation and simplification

Re-think & Simplify using new computation Eliminate 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 have a long-term, disruptive impact by radically reducing overall total cost of ownership – lower power, cooling, floor space, resources and fewer servers.”

VS

SAP HANA

SAP IQ

Real-time Business Results from Big

Data

Computing Platform Data Lake

ANALYTICS + DATA SCIENCE

Breakthroughs that Made Big Data Possible

In-Memory

:-) Brand

Sentiment Predictive

Maintenance Network

Optimization Insider Threats Product

Recommendation Personalized

Care Asset Tracking 360O Customer

View Real-time Demand/

Supply Forecast Fraud

Detection