Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytics 2.0

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

The New Simple: Predictive Analytics for the MainstreamConfidently anticipate and drive better business outcomes

Montreal Advanced Analytics Workshop

April 8, 2015

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 2

It’s No Longer Sense and Respond …

Ever Faster

Decision Cycle

Analytical

Skill Gap

“Demand for deep

analytical talent in the US

could be 50 to 60%

greater than its projected

supply by 2018”

McKinsey Global Institute

1 11

Transactions

Conversations

Machines

Massive

Amount of Data

Gartner


Anticipate What Comes Next and Drive BetterDecisions… Today!

Social

Network

Customer

DataAutomobiles

Machine

DataSmart Meter

Point of

SaleMobile

Structured

DataClick Stream

Location-

based DataText Data

IMHO, it’s great!

RFID

68% of organizations

that used predictive analytics

realized a competitive

advantageVentana Research

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


“I’m building churn

models for every

region”

MS Statistics, Berkeley

Data Scientist

.01%

“I need 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

Opportunity to Broaden Access to Predictive

5© 2015 SAP SE or an SAP affiliate company. All rights reserved.

SAP PREDICTIVE ANALYTICSFast Simple Everywhere

MAKE PREDICTIONS SIMPLE,FAST, AND ACCURATEAutomated predictive workflow

Embedded predictive analytics in business processes and apps

ACT WITH CONFIDENCE AT THE POINTOF DECISION

Real-time predictive on big data

SPOT OPPORTUNITIES INREAL-TIME


SAP Predictive Analytics

SAP Predictive Analytics

Data Preparation

Expert Analysis

Automated AnalysisVisualization

RecommendationScoring Social

SDK/API Model Management

Connectors

CLOUD On-Premise

Predictive Analysis

Library

Automated

Predictive LibraryR-Scripts

In-Memory Processing Engine 25+ Industries 11+ LoBs

O&G,

Manufacturing

& Utilities

Public Sector

& Healthcare

Financial &

Insurance

Services

TelecommunicationsRetail &

Consumer

Products

Predictive ApplicationsSAP HANA


Imagine the Business Potential…

:-)Brand

sentiment

360-degreecustomer view

Product recommendation

Propensity to churn Real-time demand/supply forecast

Predictive maintenance

Fraud detection

Network optimization Insider threats

Risk mitigation in real time

Asset tracking

Personalized care

MANUFAC-

TURINGRETAIL CPG

HEALTH

CAREBANKING UTILITIES TELCO

PUBLIC

SECTOR25+ industries

MARKETING

SALES

FINANCE

HR

OPERATIONS

SERVICE

IT

SUPPLY CHAIN

FRAUD/RISK

11+ LoB


Predictive Use Cases

Increase Your

Customer ReachShow Predictive

Cause & Effect

Predict & Prevent

Customer Churn

Recommend Next

Best Product or

Service

Detect & Reduce

Fraud

Operations

Optimization


Predict & Prevent

Customer Churn

o Model: Classification

o Basic premise: Understand who, why, and when customers churn

and create programs/incentives to prevent it

o Outcome: Use historical churn analysis to assign a score/flag for

the entire current and future customer base

o Data: customer profile, purchase behavior, sentiment, social and

related links

o Improvement factors:

o Retain key customers

o Allow influencers to connect more strongly with linked profiles

o Prevent “offer jumping”

o Increase revenue

Skyrock: Unlock Big Data Sources for More Accurate and Personalized Recommendations

<600kReduction in customer churn rate


o Model: Regression

o Basic premise: Understand the factors, events, timeframes, and

external predictor variables which influence the target (supply and

demand, employee retention, profit and margin, more…

o Outcome: Use historical data and timed events to assign a

weighted score and probability that can be associated to all

observations in the database

o Data: varies depending on use case, but these are usually wide

data sets with many historical events


o Immediately understand influential factors/variables on target

o Visualize predictor correlations and patterns

o Optimize necessary influential factors as a remedy

o Increase x

eBay: Enabling Early Signal Detection with Predictive Analytics and SAP HANA® 97%

Confidence that a signal is a true positive

Show Predictive

Cause & Effect


o Model: Clustering & Social Analysis

o Basic premise: Understand the factors, events, timeframes, and

external predictor variables which influence your ability to identify

and target the customers who represent the greatest opportunity for

revenue attainment

o Outcome: Use historical data and timed events to assign a

weighted “grouping” of like customers based on social, purchase,

and demographic variables to ensure more targeted marketing

o Data: customer profile, purchase history, social behavior and

linkages, location information


o More intelligent offers for up-sell/cross-sell

o Use social populations to drive marketing activities

o Visualize geo location “areas of influence”

o Increase revenue

Mobilink: Boosting Campaign Response Rates with SAP Predictive Analytics

380%Boost in campaign responserates, thanks to social networkanalysis

Increase Your

Customer Reach


HOW?

Before SAP Predictive

Analytics

After SAP

Predictive

Analytics

ANY/ALL DATA SOURCES,

ANSWER ANY QUESTION

IN-DATABASE FROM

START TO FINISH

AUTOMATED MODELING

& TUNING PROCESS

IN-DATABASE,

APPLICATION, & PROCESS

INTEGRATION

MODEL MANAGEMENT

& RECALIBRATION

Why SAP?

• EASE OF USE

• AUTOMATION

• IN-DATABASE

• UNDERSTANDABLE

• EMBEDDABLE

Build predictive models to help

create personalized offers more

quickly & accurately

Why SAP Predictive Analytics? Precise, accurate, and fast polling of

10 million observations and

800 variables

Scalable solution to support both

short and long-term needs

Cox Communications: Supercharging Customer Relationships

14%More products

per customer

household

80%Reduction in

model creation

time

28%Reduction in

customer churn

rate

42XGreater

throughput for

central analysts

eBay: Enabling Early Signal Detection

500Metrics analyzed

to identify

outliers

100%Accuracy

97%Confidence that a

signal is a true

positive

6 weeks

Project duration

Separate signals from noise to

identify key changes to the

health of eBay’s marketplace

Why SAP Predictive Analytics? Automated signal detection selecting

the best model, increasing the

accuracy of forecasts

Scalable system that provides real-

time insights on SAP HANA

Decision tree logic

Unlock Big Data for accurate

predictions and personalized

recommendations on products,

friends, and content

Why SAP Predictive Analytics? Ability to offer relevant “friend”

recommendations

Better understanding of individuals by

identifying communities with similar

interests, characteristics, and

behaviors

Skyrock: Unlock Big Data Sources for More Accurateand Personalized Recommendations

20Relevant friend

recommendations

2Xincrease in the

acceptance rate

<600kReduction in customer churn rate

20,000Distinct communities identified


SAP as the Market Leader

Hurwitz

Victor“fast time to value and

ability to support

very large data sets.”

Victory

Index Report

Forrester

Leader“SAP is a leader due to a

strong architecture

and strategy.”

Big Data

Predictive Wave

Howard Dresner

Top Vendor“The top vendors for advanced

and predictive analytics

include SAP.”

The Wisdom

of Crowds


The SAP Difference

Completeend-to-end

analytics solution

#1leader in

analytics*

65,000+analytics

customers

13,000+partners with proven

track record of success

*Gartner, Market Share Analysis:

Business Intelligence and Analytics Software, 2013


1

Next

StepsRead customers case studies www.sap.com/predict-and-me

Learn more and watch it in actionwww.sap.com/predictive & http://scn.sap.com/docs/DOC-32651

2

Connect with you SAP representative3

http://www.sap.com/predict-and-me

http://www.sap.com/predictive

http://scn.sap.com/docs/DOC-32651

19© 2015 SAP SE or an SAP affiliate company. All rights reserved.

Thank you

www.sap.com/predictive

scn.sap.com/community/predictive-analysis

#sappredictive @sapanalytics

Contact information:

Mike Watschke

[email protected]

http://www.sap.com/predictive

scn.sap.com/community/lumira

mailto:[email protected]

Conférence SAP Analyse Prédictive

Montréal - 08 avril 2015

Le pouvoir de prédire les conditions futures du marché et les

besoins et désirs des consommateurs est l’envie de chaque

dirigeant d'entreprise.

LE VRAI POUVOIR, C’EST LA CONNAISSANCE

COMPRENDRE L’ANALYSE PRÉDICTIVE

L‘analyse Prédictive est décrite comme un domaine d'analyse

statistique qui s'occupe d'extraire des informations à partir

des données et de l'utiliser pour prédire les tendances et

comportements futurs.

PARCOURS ANALYTIQUE DDPP

Descriptive – Que s’est-il passé? Rapports de performances (vues sommaires des activités)

Diagnostic– Pourquoi cela s’est produit? Analyses “AdHoc” et modèles multi-dimentionels

Prédictive – Que va t’il se passer? Modèles d’analyses - tendances et comportements

Prescriptive – Que faire? Modèles d’analyses – plusieurs scénarios (prédictions et résultats)

Hindsight

Insight

Foresight

Besoins d’affaires

Lorsque vous envisagez l’analyse Prédictive….

Adhésion de

l’organisation

Engagement de la

haute direction

La donnée L’expertise

Conclusion

Pour les organisations qui veulent aller vers du Prédictif, agileDSS peut vous accompagner dans l’évaluation

organisationnelle « organisational readiness assessment »

Merci

Contact:

Nathalie Maslia [email protected]

www.agiledss.com

mailto:[email protected]

http://www.agiledss.com/

Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytics 2.0

Technology

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