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Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytics 2.0
The document discusses the importance and benefits of predictive analytics in driving business outcomes and decision-making. It highlights the increasing demand for analytical skills, the competitive advantages gained by organizations using predictive analytics, and various use cases across multiple industries. SAP's predictive analytics solutions offer automation, ease of use, and real-time insights to help businesses optimize their strategies and improve customer engagement.
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Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytics 2.0
- 1. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 1Internal The New Simple: Predictive Analytics for the Mainstream Confidentlyanticipateanddrivebetterbusinessoutcomes Montreal Advanced Analytics Workshop April 8, 2015
- 2. © 2015 SAPSE 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
- 3. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 3 Anticipate What Comes Next and Drive Better Decisions… Today! 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 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
- 4. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 4 “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. 5© 2015 SAPSE or an SAP affiliate company. All rights reserved. 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 SPOT OPPORTUNITIES IN REAL-TIME
- 6. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 6 SAPPredictiveAnalytics SAP Predictive Analytics Data Preparation Expert Analysis Automated AnalysisVisualization RecommendationScoring Social SDK/API Model Management Connectors CLOUD On-Premise Predictive Analysis Library Automated Predictive Library R-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
- 7. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 7 Imagine the Business Potential… :-) Brand sentiment 360-degree customer 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- TURING RETAIL CPG HEALTH CARE BANKING UTILITIES TELCO PUBLIC SECTOR 25+ industries MARKETING SALES FINANCE HR OPERATIONS SERVICE IT SUPPLY CHAIN FRAUD/RISK 11+ LoB
- 8. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 8 Predictive Use Cases Increase Your Customer Reach Show Predictive Cause & Effect Predict & Prevent Customer Churn Recommend Next Best Product or Service Detect & Reduce Fraud Operations Optimization
- 9. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 9 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 MoreAccurate and Personalized Recommendations <600k Reduction in customer churn rate
- 10. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 10 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 Improvement factors: 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 PredictiveAnalytics and SAPHANA® 97% Confidence that a signal is a true positive Show Predictive Cause & Effect
- 11. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 11 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 Improvement factors: 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 PredictiveAnalytics 380% Boost in campaign response rates, thanks to social network analysis Increase Your Customer Reach
- 12. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 12 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
- 13. Build predictive modelsto 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 42X Greater throughput for central analysts
- 14. eBay: Enabling EarlySignal Detection 500Metrics analyzed to identify outliers 100% Accuracy 97% Confidence that a signal is a true positive 6weeks 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
- 15. Unlock Big Datafor 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 MoreAccurate and Personalized Recommendations 20Relevant friend recommendations 2X increase in the acceptance rate <600k Reduction in customer churn rate 20,000Distinct communities identified
- 16. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 16 SAPas 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
- 17. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 17 The SAPDifference Complete end-to-end analytics solution #1 leader 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
- 18. © 2015 SAPSE or an SAP affiliate company. All rights reserved. 18 1 Next Steps Read customers case studies www.sap.com/predict-and-me Learn more and watch it in action www.sap.com/predictive & http://scn.sap.com/docs/DOC-32651 2 Connect with you SAP representative3
- 19. 19© 2015 SAPSE 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 mike.watschke@sap.com
- 20. Conférence SAP AnalysePrédictive Montréal - 08 avril 2015
- 21. Le pouvoir deprédire 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
- 22. COMPRENDRE L’ANALYSE PRÉDICTIVE L‘analysePrédictive 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.
- 23. 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
- 24. Besoins d’affaires Lorsque vousenvisagez l’analyse Prédictive…. Adhésion de l’organisation Engagement de la haute direction La donnée L’expertise
- 25. Conclusion Pour les organisationsqui veulent aller vers du Prédictif, agileDSS peut vous accompagner dans l’évaluation organisationnelle « organisational readiness assessment »
- 26.