Ibrahim A. Almohaimede Harness the power of predictive analytics Forum SUGMENA KSA

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Predictive Anaytics is not Fortune Telling. It is analyzing historical data for typical and recurring behavior in order to Predict and act.

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Ibrahim A. Almohaimede Harness the power of predictive analytics Forum SUGMENA KSA

  1. 1. 26th May 2014 – Riyadh, KSA
  2. 2. Harness The Power of Predictive Analytics Ibrahim A. Almohaimede May 26th,2014 Public
  3. 3. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 3Public Predictive analytics - Analogy Sheep weight Months SEP OCT NOV I see no reason why excellent growth shouldn’t continue…
  4. 4. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 4Public Predictive analytics - Analogy Sheep weight Months SEP OCT NOV …I should have done predictive analytics Eid Time
  5. 5. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 5Public Predictive analytics purpose What’s next ? What happened? Why? BI Predictive analytics Analyze historical data Predict and act Typical and recurring behavior
  6. 6. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 6Public Predictive analytics application What happened? = churner What’s next ? = High probability to churn CustomersHistorical customer data Why? Phone type Location Gender Age
  7. 7. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 7Public Sense and respond are no longer enough Challenging to detect meaningful signals in big data Severe analytics skills shortage 50-60% shortfall for experienced data analysts Dun & Bradstreet and McKinsey Global Institute analysis 68% of organizations that used predictive realized a competitive advantage Difficult to apply predictive algorithms to anticipate business trends
  8. 8. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 8Public How analytics need to evolve to deliver collective insights Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Agile Visualizati on Predictive Modeling Optimization What happened? Why did it happen? What will happen? UserEngagement Maturity of Analytics Capabilities What is the best that could happen? Self Service BI Generic Predictive Analysis End-to-end Easy adoption Fast implementation Business focused Enable storytelling CollectiveInsight
  9. 9. 9© 2014 SAP AG or an SAP affiliate company. All rights reserved. Hard to use Cannot analyze Big Data Time-consuming Not actionable Simpler Big Data made easy Faster time to value Embeddable Quick win Boost adoption Answer more business questions Bridge the skills gap Adapt and innovate at market speed SolutionChallenges Benefits
  10. 10. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 10Public Overview Customers needs fulfilment through predictive analytics Classification / Scoring Who will (churn | fraud | buy…) next (week | month | year…)? Regression How many products will a customer buy next (week| month| year)? Clustering What are the groups of customers with similar (behavior | profile …)? Forecasting How much will be the (revenue | # churners…) over the next year on a monthly basis? Link Analysis Identify who will (influence | connect …) items (people | products…) in the communities? Recommendations What is the best ( Next offer | Next action | …) for (customers | Internet …)? %
  11. 11. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 11Public NUMBEROFUSERS LEVEL OF SKILLSET Low HighMedium Low Medium High Business Analysts Industry & Business Process Analytics Bringing Predictive to the Masses Business Users & LoB Embedded Analytics Data Scientists Bringing Predictive to the Masses
  12. 12. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 12Public Imagine the Business Potential… :-)Brand Sentiment 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 Asset Tracking Personalized Care MANUFAC TURING RETAIL CPG HEALTHC ARE BANKING UTILITIES TELCO PUBLIC SECTOR 25+ Industries MARKETING SALES FINANCE HR OPERATIONS SERVICE IT SUPPLY CHAIN FRAUD / RISK 11+ LoB
  13. 13. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 13Public Advanced Analytics – SAP Vision Operationalize predictive & optimization models across the enterprise Reduce Decision Latency with Advanced Analytics Bringing Predictive Analytics to a broad spectrum of users Embed Smart, Agile Analytics into Decision Processes to Deliver Business Impact Easy Fast Efficient
  14. 14. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 14Public Predictive Tools Usually Are… Time-intensive, manual processes. Linear relationship between model accuracy and analyst time Hard to maintain, share, and port model code or workflow diagrams Statistical library where the right algorithm must be selected, tested, and fine-tuned HardIsolatedSlow Statisticians pre- select variables, hence excluding information Manual Traditional Data Mining
  15. 15. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 15Public SAP Advanced Analytics Is… Predictive analytics process made efficient through modeling automation Optimize actions applying Analytics to information, processes and apps No PhD required! EasyActionableFast No need to select data, hence excluding information Big Data Ready
  16. 16. © 2014 SAP AG or an SAP affiliate company. All rights reserved. Thank you Contact information: Ibrahim A. Almohaimede Solution Consultant Ibrahim.almohaimede@sap.com

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