Integrating and aligning search, statistics, and data mining into business process intelligence

1. Enterprise Visualization Suite Businesscape AS

2. Today… Business ProcessModels: IncorrectOutdated”Powerpoint” reality

3. Tomorrow… Interactive Zooming Accurate Nearestpetrolstation Traffic jam (bottlenecks) Alternative routes Predictionofarrival

4. Business ProcessDiscovery

5. TransactionLogs

6. ProcessKnowledge DiscoveredProcessModels Loaddistributions Frequentpaths Multiple perspectives Interactive

7. ProcessKnowledge Statistics Performanceindicators Durations Bottlenecks Trends

8. ProcessKnowledge Data Mining Models Hiddenpatterns in the data Characteristics

9. Scenario Wells Bank Callcenter New Customers StockTrading Regular Service Service in English

10. EVS: Analysis approach

11. DefineDataset

14. Analysis Discoveringinteractive and multiperspective processmodels

15. Scenario Visualizationofclustersin the overall processflow

16. Scenario EvolutionChart Animating trends Highlevel and targetedanalysis

17. Scenario Data mining Characteristicsofselectedclusters TEAM 1: J48 pruned tree ------------------ stock trading complete = true | duration, vru start -> stock trading start <= 11000: false (3.0/1.0) | duration, vru start -> stock trading start > 11000: true (11.0/1.0) stock trading complete = false: false (186.0/24.0) Number of Leaves : 3 Size of the tree : 5 Correctly Classified Instances 343 85.75 % Incorrectly Classified Instances 57 14.25 %

18. Architecture

19. Summary Discover the Real Business Flow Improve Understanding Spot Bottlenecks Improve Accountability Support Compliance Provide Specifications for Automated Workflow

20. Projects and Partners Nidar Felleskjøpet Trondheim Bogart / Hrafn TEXI

21. kontakt@businesscape.no