SAP Predictive Analytics Hands-On

Andreas Forster

December 2015

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Customer

Analytics

Personalised Messaging

Optimize Marketing-

Campaigns

Churn-Analysis

Estimate Customer Value

Forecasting (ie new

customers) Fraud DetectionSegmentation /

Classification

Selection of Predictive Use Cases in Customer Analytics

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Predictive

Maintenance

Preventive Maintenance Demand Forecast for

Spare Parts

Warranty Estimation

Fault Classification

Trend Analysis and

Forecasting

Fault Priorisation

Selection of Predictive Use Cases in Predictive Maintenance

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Leverage the Past to Optmise the Future

Example: Increase Up-Selling and Cross-Selling

SAP

Products

Corporate Strategy Advisor

Cost-Structure

Customers

Demographics

Insurance/Claims

-History

Social Media

Click-Behaviour

Best Product • Private Health Insurance

At the best time • September

In the best channel • Advisor

With the best advisor • Bruno Brunner

Optimise

Urs Fluri

Interaction

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Kundenberater findet Empfehlung

mit Kaufwahrscheinlichkeit als

Empfehlung in seinem

Kundenberaterarbeitsplatz

Embedded in Existing Processes

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SAP Business Intelligence

Big Data

Mobile

Collaboration

Cloud

Agile

Visualization

Advanced

Analytics

Enterprise

Business Intelligence

7

Advanced Analytics Big Data

Cloud

Agile

Visualization

Advanced

Analytics

Enterprise

Business Intelligence

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Hands-On

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Data Access

What’s so special about Automated Analytics?Enable Non-Statisticians to create powerful models

Access to both data and

metadata (name of

columns, storage, indices

and more)

Connectivity to major

database platforms

Access to major

proprietary file formats

(SAS, SPSS, Excel, etc.)

Create 1000’s of derived

attributes

Define metadata once

Select time-stamped

population

Builds analytic dataset

automatically

Fully automated modeling

process

Regression

Classification

Segmentation

Time series forecasting

Association rules

Identify key variables

Executive and operational

reports

One-click deployment of

scores into production

In-database scoring (SQL)

Interface with business

apps via scoring equations

in

Java

PMML

SAS

Refresh analytic data sets

and models automatically

Deploy scores to

production

Alert on data and model

deviations

Automated process

targetted for analytical

users.

Input data is automatically

pre-processed.

No need to worry about

outliers or missing data.

The best model is

automatically chosen.

Analytical Data Sets

with Clicks not Code

Models in Days

not MonthsPut Scores into Action

Keep Model at Peak

Performance

No Data Scientist

Required

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Advanced Visualization

What’s so special about Expert Analytics?Customisable Workbench for Specific Requirements

Direct access to Advanced

Visualizations

Superset solution includes

SAP Lumira library

Stunning visualizations

Drag & drop data

selection, preparation,

processing

Easy sharing/

collaboration of findings

Built for business analysts

English

German

Spanish

Portuguese

French

Japanese

Italian

Automatic Data

Preparation

Classification

Regression

Anomaly Detection

Attribute Importance

Association Rules

Clustering

Feature extraction

Native installer included

~12 R algorithms included

3,500+ R Model library

and growing

Custom R, JAVA, etc.

Native integration with

SAP HANA

Leverage existing BOBJ

universes

Publish actionable results

to mobile & BI clients

Ease of UseMulti Language

Support

Rich Pre-Built

Modelling Functionality

R Data Mining

Language Support

SAP HANA

Platform Integration

Automatic Data

Preparation

Classification

Regression

Anomaly Detection

Attribute Importance

Association Rules

Clustering

Feature extraction

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Extendable Workbench Provide R Functionality as Graphical Icon

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Component Created

by R Expert

Leveraged by End User

R - Integration

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More Than 4000 Advanced Analytics Customers

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SAP Data Scientist

Every company

deserves a “data

scientist”

Deliver real

results with big

data services

Data Science as a Service

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Further Information on Automated Mode and Expert Mode

http://scn.sap.com/docs/DOC-65046 http://scn.sap.com/docs/DOC-62119

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E-book: Predictive Modeling with Automated Analytics /

SAP Predictive Analytics 2.x

https://www.sap-press.com/predictive-modeling-with-automated-analyticssap-predictive-analytics-2x_3992/

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Thank you

Contact information:

Andreas Forster

andreas.forster@sap.com

+41 79 701 89 44