SAP Predictive Analytics

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SAP Predictive Analytics: Latest Updates, Future Roadmap, and Live Demo Alexis Fournier SAP

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 1

AGENDA

From BI to … Demo Wrap-up Roadmap


AGENDA



FROM BI to PREDICTIVE ANALYTICS

Report

OLAP

Dashboard

Segmentation

Associations

Scoring

Forecast

Which products have been sold?

Who bought them?

Who are our customers?

Which products where sold together?

Which customers are going to buy our products?

How many products are we going to sell?

Past/Present Future

Aggregated data Detailed data


World has changed …

Social

Network

Customer

Data Automobiles

Machine

Data Smart Meter

Point of

Sale Mobile

Structured

Data Click Stream

Location-

based Data Text Data

IMHO, it’s great!

RFID

68% of organizations

that used predictive analytics

realized a competitive

advantage Ventana Research,

“The Next Generation of Predictive Analytics” 10/2014

52% use predictive

analytics to increase

profitability

55% use predictive

analytics to create new

revenue opportunities

45% use predictive

analytics for customer

services

43% use predictive

analytics for product

recommendations

…

WE ARE FACING

CHALLENGES…


“I’m building churn models for every region”

MS Statistics, Berkeley

Data Scientist

.01%

“I need to explain to the CEO why sales are down in EMEA”

MBA, U of Pennsylvania

Data Analyst

~3% 97%

Business User

“The app needs to tell me what offer to make in real time”

BS French Literature, UC Davis


NEEDS … …EVERYWHERE

:-) CRM Analytic

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

Cross-sell – Upsell Personalized Care

MANUFACT

URING RETAIL CPG HEALTHCARE BANKING UTILITIES TELCO

PUBLIC

SECTOR

25+

Industries

MARKETING

SALES

FINANCE

HR

OPERATIONS

SERVICE

IT

SUPPLY CHAIN

FRAUD / RISK

11+ LoB


SAP PREDICTIVE ANALYTICS Fast Simple Everywhere

MAKE PREDICTIONS SIMPLE, FAST AND ACCURATE Automated predictive workflow

Embedded predictive analytics in business processes and apps

ACT WITH CONFIDENCE AT THE POINT OF DECISION

Real-time predictive on big data with SAP HANA

SPOT OPPORTUNITIES IN REAL-TIME


Model Industrialization Each step of the process has been automated

IN-DATABASE AUTOMATED DATASET PRODUCTION

AUTOMATED MODEL CREATION CLASSIFICATION REGRESSION CLUSTERING FORECASTS

IN-DATABASE DEPLOYMENT DEPLOYMENT IN OTHER APPS

MODEL PRODUCTIONIZATION CONTROL RECALIBRATION BATCH PRODUCTION


Acquisition targeting

Churn reduction

Cross-Sell/Upsell

Winback campaigns

Viral campaigns

Segmentation

WHAT APPLICATIONS? EXAMPLES

Operations

CRM

Risk

Fraud

KPI forecasting

Anomaly detection (QA)

Usage forecasting

Predictive maintenance

Quality optimization

Credit scoring

Collection

Crime/Terrorism

Money laundering

Credit card fraud

Online gaming fraud

Insurance fraud

CRM Risk

Fraud Operations






SAP Predictive Analytics high-level roadmap

Predictive Analytics 2.0 on HEC

Simplify

• In App upgrade notification

• Very small dataset support

• Rare case events stability

Expert Analytics

• Charting Improvements

• Other HANA function libraries support

• Additional APL algorithms support

Big Data

• Very large datasets (50k columns)

• Spark, Streaming

Ecosystem

• HANA views support

• SAP BW on agnostic data sources

• Unified Model Management Layer for HANA

Simplify

• Unified Installer, licensing simplification

• Very small dataset support

• Rare case events stability

• HANA views support (Automated Analytics)

• Latest major databases versions support

Expert analytics

• APL nodes consumption

• Export Model as HANA stored procedure

• R 3.1.2 version support

• Custom components sharing capabilities

• Model comparison

Big Data

• Hadoop Hive, Spark support

Simplify

• Unified UI for business analysts and data scientists

• Unified Model Management Layer

• Data Manipulation

• Common engine for online and offline modes

• Predictive Analytics platform

• Universes access

Expert Analytics

• Core enhancements and extensibility enhancements

• Massive analytics

• Improved R scripting support, R online and RHadoop

support

• Python for developers

Big Data

• Automation technology on Hadoop

• Ultra-wide datasets: 500k+ columns

• No SQL databases

Auto-Algorithms: Social network and more.

Performance, simplification.

SAP Predictive

Analytics

APL (Automated

Predictive Library)

This is the current state of planning and may be changed by SAP at any time.

Today Planned Innovations Future direction

Auto-Algorithms: Classification, Regression,

Clustering, Time series, Social,

Recommendation, Key influencers, Scoring

equations

Cloud Extend and provide more Cloud services

Model and scheduling managed in the cloud

Predictive Analytics 2.0 - 2.3 Predictive Analytics 2.4 Predictive Analytics 2.x, 3.0

Embedded APL in Hybris Marketing

Time Series in Lumira

Success Factors, Simple Financial, Predictive

Maintenance, Hybris BI integration

More SAP applications embedding APL

Auto-Algorithms: Recommendation

APL for Cloud services

Cloud For Predictive Analytics

Unified Model Management Layer



This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement













Where to find more information

For more information: www.sap.com/predictive

Videos: www.youtube.com/playlist?list=PLs5htBIwERYXVRqNzp71yGCKotXVXylOG

Download free trial: www.sap.com/cmp/ft/crm-xm15-dwn-an001/index.html

mailto:[email protected]

http://www.sap.com/predictive

http://www.youtube.com/playlist?list=PLs5htBIwERYXVRqNzp71yGCKotXVXylOG

http://www.sap.com/cmp/ft/crm-xm15-dwn-an001/index.html








7 key points to take home

Ease of use – Minutes to Hours as opposed to Days to Weeks

SAP Integration – SAP HANA, SAP BusinessObjects Universe, SAP ERP, SAP BW, etc.

Big Data – Consumes 1,000s of Fields automatically, handles missing data …

One-Stop Shop – Modelling, Social Network Analytics, Data Preparation, etc.

Speed – Industry leading in Model Build and Scoring

Skills – Reduces barrier to entry for Data Mining

Rapid and easy implementation – Automation of scoring for in database or in application implementation. Management tool to test/improve models over time.


Thank you!

Contact

Alexis Fournier

Solution Principal Predictive Analytics, EMEA CoE

[email protected]




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