A presentation on process intelligence and predictive analytics that I did on a webinar for BP Logix, August 2010.

1. Sandy Kemsley Kemsley Design Ltd. Process Intelligence and Predictive Analytics sandy@kemsleydesign.com www.column2.com Twitter: @skemsley

2. Why Predictive Analytics? Predict and avert undesirable events “Predictive analytics is not just about forecasting what’s coming down the pike. It’s also about keeping the bad alternative futures from happening.” James Kobielus, Forrester

3. What Are Intelligent Processes? Process, analytics and decisioning Baseline from historical aggregate Analytics on running processes predict future problems Self-adjusting processes through feedback to decisioning

4. History of Process Intelligence Distinct, often unintegrated technologies and disciplines

5. History of Process Intelligence Rules add agility to processes

6. History of Process Intelligence Analytics add visibility to processes

7. History of Process Intelligence Agility with vision: “Smart Enough Systems” [Taylor/ Raden]

8. Keys to Intelligent Processes Focus on process goal, not just current task Compare current to baseline model Compare current to historical Understand process dependencies and critical path to identify future problems

9. Enabling Technologies Managing processes in real-time Models of process timelines and goals In-memory analytics for immediate feedback User feedback via dashboard and mobile alerts

10. Results and Benefits Make better decisions sooner Avert potential problems before they occur Understand overall process state Provide process guidance for manual decisions Feedback to automated decisioning

11. Sandy Kemsley Kemsley Design Ltd. Questions? sandy@kemsleydesign.com www.column2.com Twitter: @skemsley