SAP Big Data Forum 2013 C4 Alexis Fournier - SAP

SAP Predictive Analysis

Alexis Fouquier – D&T EMEA

[email protected]

© 2013 SAP AG. All rights reserved. 2 Internal

Agenda

The Predictive Analytics Landscape

Predictive Analytics with SAP HANA


Customers Benefit from Predictive Analytics

Q&A


Agenda





Q&A


Zero Latency

Reduce processing time

CIO strategy

Business needs

Typical Business SLAs 106 105 104 103 100 10 1 0 Seconds

mail express fax e-mail Document transfer

Algorithmic trading 100 ms 20 ms

Served the

same day

1 day

Call center inquiries 8 hr 10 sec

Supply chain updates 1 day 15 min

Phone activation 3 days 1 min

1 week 0.5 hour Refresh data warehouse

Track financial position 1 day 5 min

Airline operations 20 min 30 sec

Trade settlement 5 days 2 hrs.

Build-to-order PC 4 weeks

Everything is accelerating

Real-time is standard for the digital economy

© 2013 SAP AG. All rights reserved. 5

Everything become big


Big data matters Transformational business value from data

Drive Better

Profit Margins

New

Strategies and

Business Models

Operational

Efficiencies

Business

Value

Velocity

Volume Variety

Mobile

CRM Data

Planning

Opportunities Transactions

Customer

Sales Order

Things

Instant Messages

Demand

Inventory


Move from reporting to proactive decision

Sense & Respond Predict & Act

Raw

Data

Cleaned

Data

Standard

Reports

Ad Hoc

Reports &

OLAP

Generic

Predictive

Analytics

Predictive

Modeling

Optimization

What happened?

Why did it happen?

What will happen?

What is the best that

could happen?

Com

petitive A

dvanta

ge

Analytics Maturity

The key is unlocking data to move decision making from sense & respond to predict & act


SAP’s Predictive Analytics Strategy

Real-time in-memory predictive and

next generation visualization and modeling

Empower the Business

Extend the Business

Intelligence competency to

Advanced Analytics

Embed Predictive into Apps

and BI environments

Lend expertise

In-memory processing

No data latencies

Big Data ready

In Context

Relevant to your business

Within the context of your

Industry and LOB scenario

Partner and customer apps

In-time Actionable

Insights


Forrester Wave: Big Data Predictive Analytics

• SAP is a leader in the

2013 Forrester Big Data

Predictive Analytics wave

• SAP went from not

appearing on the wave to

leader within one year

• SAP’s in-memory

predictive analytics

approach is unparalleled

and unique among

vendors

• SAP’s vision and roadmap

for predictive analytics is

well-received by analysts


Agenda





Q&A


Predictive Analytics with SAP HANA Transforming the Future with Insight Today

Unleash the value of Big Data

through the power of SAP HANA

• Employ in-database predictive algorithms

• Access 3,500+ open-source algorithms

via R integration for SAP HANA

Intuitively design and visualize

complex predictive models

• SAP Predictive Analysis software

Bring predictive insight to everyone

in the business

• Embed within business applications

• Extend into BI and reports

• Insight into events instantly delivered to

dashboards, alerts, and mobile devices


SAP HANA In-Memory Predictive Analytics

Predictive Analysis Library (PAL)

Native predictive algorithms

In-database processing for powerful and fast results

Quicker implementations

Support for clustering, classification, association, time series etc…

R Integration for SAP HANA

Enables the use of the R open source environment (> 3,500 packages) in the context of the HANA in-memory database

R integration enabled via high performing parallelized connection

R script is embedded within SAP HANA SQL Script

Combine the depth and power of in-memory analytics within SAP HANA with the

breadth of R to support a variety of advanced analytic and predictive scenarios


Agenda





Q&A


SAP Predictive Analysis is…

A complete data discovery, visualization, and predictive analytics solution designed to

extend your current analytics capability and skillset.


Data Discovery Rich Visualizations Predictive Analytics


Data Discovery, Predictive, and Visual Suite for Big Data

StreamWork

Explorer

Mobile

Dataset

Information Space

Visualizations

Exploration Views

Explorer

SQL HANA UNV

Lumira Predictive Analysis


User powered, IT approved

SAP Predictive Analytics – Real Business Value

Faster Transforming Easier

• Real-time answers

• Access to disparate

enterprise data

• Allows discovery to

prediction to results in

minutes

• Intuitive business design

• Designed for more users

for answering more

questions with less effort

• Same experience and

interface as other BOBJ

products

• Enables deep insight to

immediate action

• Proactive and forward-

looking visibility into the

business

• Allows for greater

competitive advantage


100101 011010 100101

3 Simple Steps to SAP Predictive Analytics

1 Load Your Data

From Any Source

2 Discover, Enrich, &

Visualize Results

3 Apply Predictive

Models & Publish


To extend your analytics capabilities

Optimized for real time and

big data

Easy to use with a short

learning curve

Designed for business users data scientists


Agenda





Q&A


Some Predictive Use Cases by Industry

Customer churn, network

optimization, cross/up selling,

customer retention, network fraud

detection

Credit risk management, anti-

money laundering, fraudulent card

usage detection

Forecasting, inventory planning,

cross/up selling, customer

segmentation, market basket

analysis

Logistics optimization, fraud

prevention

Health management, fraud

prevention

Customer profitability, fraudulent

claims detection and prevention

Demand forecasting, service parts

optimization, production

maintenance

Price optimization, assortment

planning, forecasting

Predictive asset maintenance,

market and credit risks Utilities

Healthcare

Public Sector

Telecommunications

Banking/Finance

Insurance

Manufacturing/Wholesale

Automotive

Retail

Leverage your Big data

for real-time Predictive

Analysis and modeling

1

Customers

Make Customer Centricity your

biggest advantage

Better segment customers for

growth campaigns

Target customer with real-time

personalized promotions

Analyze and understand

customer sentiments to serve

them better Get 360° Insight into Your

Customer

SAP BusinessObjects BI Suite on HANA


http://demo.tdc.sap.com/SpeedDemo/194316839db786cb





Efficiency and autonomy

Trend Analysis

Stock

optimization

Planning and

hiring

Accruals

optimization

Warranties

Customer

satisfaction

Optimization and Customer satisfaction

Valorization

Cash

optimization

Fleet

Management

Fleet Management Valorization and optimization

Reduce fraud by

750M€ over 3

years

Increase

profitability

New fraudulent

behaviors

Insurances Fraud Management

Increase

production by 1

Billion $ per year

Reduce

production costs

Decrease

maintenance

costs

Explorations Increase productivity

Reduce

criminality

Dynamic police

force allocation

Reduce cost

Polices Reduce criminality

Thank you

Technology

SAP Big Data Forum 2013 C4 Alexis Fournier - SAP