2016 SAP SE or an SAP affiliate company. All rights reserved.

Per-Erik, 62 år, Segment XYZ 59% sannolikhet att acceptera erbjudande om ny bilförsäkring Johan, 42 år, Segment ABC 85% risk för byte av leverantör nästa kvartal Johanna, 38 år, Segment BCA 67% risk för uppsägning inom 3 mån Cathrine, 51 år, Segment ZXY 71% risk för återinläggning inom 1 v efter besök på akutmottagningen Anton, 29 år, Segment CCA 93% sannolikhet att 3 senaste korttransaktionerna är bedrägeri Kom igång med prediktiv analys! Niklas Packendorff, Analytics Solution Expert niklas.packendorff@sap.com @packendorff 2016 SAP SE or an SAP affiliate company. All rights reserved. 2

User Engagement Avancerad analys är nästa steg av analytisk förmåga Predictive Chasm Prescriptive Analytics Predictive Analytics What should I do? Agile Visualization Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Self Service BI Why did it happen? What will happen? What happened? Maturity of Analytics Capabilities 2016 SAP or an SAP affiliate company. All rights reserved. 3

User Engagement Avancerad analys är nästa steg av analytisk förmåga Predictive Chasm Prescriptive Analytics agera Agile på insikter Visualization om framtida möjligheter Self Ad Hoc Service BI What will happen? Reports & OLAP Raw Data Cleaned Data Standard Reports What happened? Predictive Analytics Gå från att reagera på historisk data till att Why did it happen? What should I do? Maturity of Analytics Capabilities 2016 SAP or an SAP affiliate company. All rights reserved. 4

En närbesläktad definition: Data mining is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data Valid tillförlitligt resultat även när nytt data tillkommer Novel en tidigare okänd, icke-trivial insikt Useful som besvarar en fråga / utmaning i verksamheten Understandable samt är rimlig och går att omsätta i handling 2016 SAP or an SAP affiliate company. All rights reserved. 6

och en del i ett sammanhang Exploratory Analytics Descriptive Reporting Dashboard Analytics Diagnostic/ Discovery Navigation OLAP Agile Visualization Key Influencers Hidden structure (rules) Outliers/Anomalies/ Point of Interest Segments/Groups/Bands Model based What-if analysis Predictive Classification Regression Time Series Clustering Associations Sequences Advanced Analytics Data Variety Text Spatial Image Video Speech Scheduling/ Model Management Prescriptive Recommendations Rule Systems Optimization Business Process Management (BPM) 2016 SAP or an SAP affiliate company. All rights reserved. 7

och en del i ett sammanhang Descriptive Reporting Dashboard Analytics Diagnostic/ Discovery Navigation OLAP Agile Visualization Exploratory Analytics Key Influencers Hidden structure (rules) Outliers/Anomalies/ Point of Interest Segments/Groups/Bands Model based What-if analysis Predictive Classification Regression Time Series Clustering Associations Sequences Predictive Classification Regression Time Series Clustering Associations Sequences Advanced Analytics Data Variety Text Spatial Image Video Speech Prescriptive Recommendations Rule Systems Optimization Business Process Management (BPM) Powered by Humans for Humans Powered by Maths for Humans Scheduling/ Model Management Powered by Maths for Processes 2016 SAP or an SAP affiliate company. All rights reserved. 8

Prediktiv analys kan skapa stora värden.. The Need for Predictive Use historical data to predict outcomes Answer who is likely to questions Make economical sense of Big Data Enable employees to optimize decisions Improve customer relationships with better insight 68% of organizations that used predictive analytics realized a competitive advantage 28% reduction in customer churn rate Ventana Research 60% of fraudulent transactions stopped > More Customer Stories 2016 SAP or an SAP affiliate company. All rights reserved. 9

1. Definiera verksamhetens behov 2. Samla in och förstå relevant data 3. Preparera ditt data för modellering 5. Utvärdera och fördina din modell 4. Bygg din modell 6. Driftsätt och underhåll din modell 2016 SAP SE or an SAP affiliate company. All rights reserved. 12

Hur har man gjort hittills? Dagar Definiera behov Samla in, förstå och preparera data för analys Bygg och utvärdera din modell Driftsättning Underhåll Utan SAP 2016 SAP or an SAP affiliate company. All rights reserved. 13

Vad gör våra kunder annorlunda? Dagar Answer any/all questions with any/all data sources Inga begränsningar Definiera behov Samla in, förstå och preparera data för analys Bygg och utvärdera din modell Driftsättning In-database automated dataset production - Automated modeling and tuning process - Native in-database and application/process deployment - Ingen onödig dataflytt Fokus på affärsnytta inte statistik och algoritmer Snabb driftsättning i applikation, databas eller dashboards Underhåll Utan SAP Med SAP On-going model management and recalibration - Minimalt manuellt underhåll 2016 SAP or an SAP affiliate company. All rights reserved. 14

Vilka problem kan vi lösa med prediktiv analys? Types of Business Problems Solved with Predictive Sales and Marketing Operations Fraud and Risk Finance and HR Others Churn Reduction Predictive Fraud and Abuse Cash Flow and Life Sciences Customer Maintenance Detection Forecasting Health Care Acquisition Lead Scoring Product Recommendation Campaign Optimization Customer Segmentation Next Best Offer/ Action Load Forecasting Inventory/demand Optimization Product Recommendation Price Optimization Manufacturing Process Opt. Quality Management Yield Management Claim Analysis Collection and Delinquency Credit Scoring Operational Risk Modeling Crime Threat Revenue and Loss Analysis Budgeting Simulation Profitability and Margin Analysis Financial Risk Modeling Employee Retention Modeling Succession Planning Media High Education Public Sector/ Social Sciences Construction and Mining Travel and Hospitality Big Data and IoT 2016 SAP or an SAP affiliate company. All rights reserved. 16

Cox Communications: Supercharging Customer Relationships 14% More products per customer household 28% Reduction in customer churn rate 80% Reduction in model creation time 42X Greater throughput for central analysts 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 > More Customer Stories

Nästa Steg 1 2 3 Läs våra customer stories bit.ly/predictive-stories Fördjupning och utbildning www.sap.com/predictive & http://scn.sap.com/docs/doc-32651 Testa själv.. 2016 SAP or an SAP affiliate company. All rights reserved. 18

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