Audience: Business Intelligence Architects, Project Managers and Sponsors. This slideshow accompanies a video presentation of the same name, available at http://youtu.be/e0cHFdeGEeE.

1. Agile BI via
Data Vault and
Modelstorming
Daniel Upton
Business Intelligence Architect, Certified ScrumMaster
DecisionLab.Net
linkedIn.com / in / DanielUpton

2. The Business Intelligence Promise:
Smarter, more fact-baseddecision-makingas aneverydayroutine

4. HowtomaximizeBIstakeholdersatisfactionandacceleratetimetocompletion…
1. BreakdownstakeholderrequirementsgatheringsessionstoresultinconciseDataStories
2. Completeapotentiallyshippableincrement(PSI)inall,ornearlyall,Sprints
3. WitheachPSI,bereadyandabletore-prioritizeaftereverySprint.

5. Business Intelligence Waterfall
Data Model
Profile
Stage Data (ETL)
Integrate Staged Data (ETL)
Requirements
Build Semantic Layer
Load to Star Schema (ETL)
Build Dashboard
Train Users
Quality Assurance On Everything
Release
Maintain

6. Entity Relational Model for Transactions

7. Dimensional Model / Presentation Layer

8. Business
Intelligence
Risk
ReportA
Still
Doesn’t Match
ReportB

9. Business Intelligence Waterfall
Data Model
Profile
Stage Data (ETL)
Integrate Staged Data (ETL)
Requirements
Build Semantic Layer
Load to Star Schema (ETL)
Build Dashboard
Train Users
Quality Assurance On Everything
Release
Maintain

11. Scrum Development Lifecycle

12. TraditionalWaterfallPrinciple:
BigDesignUpFront(BDUF)-- An end-to-end design on
which to build an entire solution.
LeanPrinciple:
JustEnoughDesignUpFront(JEDUF)-- A design
increment with just enough design features on which to
build and deliver an incremental solution that satisfies a
required feature’s AcceptanceCriteria.
AgilePrinciple:
Maximize the amount of work not done.

13. BI’s most time intensive phases

14. Data Vault Tables: Hubs, Satellites and Links

15. The most time intensive phases
…accelerated by Data Vault

16. Faster, but not yet Agile-Fast

17. Agile ModelStorming

18. Agile ModelStorming

19. Agile ModelStorming

20. Agile ModelStorming

21. Review time intensive phases

22. Breakdown each step into ‘Data Story’ size

23. Assumption: Same overall amount of work

25. Accelerate delivery of data stories. Setupmultiple team-tracks.
Bereadyfor changingpriorities.

26. The most time intensive phases
…accelerated with Agile DW Design

27. DataVaultalreadyacceleratedtheWaterfall
Agile DWdesign andDataVaultaccelerate eachother

28. Agile Data Vault within Sprint Cycles
Result:Maximizestakeholdersatisfactionandacceleratetimetocompletion. How?
1. BreakdownstakeholderrequirementsgatheringinvolvementintoconciseDataStories
2. Completeapotentiallyshippableincrement(PSI)inall,ornearlyall,Sprints
3. BeAgile: WithaPSI,bereadyandabletore-prioritizeaftereverySprint.

29. Recommended Technical Reading…

30. ForanintroductiontoDataVault…
“Data Vault:
Data Warehouse Design Goes Agile”
www.slideshare.net/DanielUpton

33. The Business Intelligence Promise:
Smarter, more fact-baseddecision-makingas aneverydayroutine
HowtomaximizeBIstakeholdersatisfactionandacceleratetimetocompletion…
1. BreakdownstakeholderrequirementsgatheringsessionstoresultinconciseDataStories
2. Completeapotentiallyshippableincrement(PSI)inall,ornearlyall,Sprints
3. WitheachPSI,bereadyandabletore-prioritizeaftereverySprint.

34. LinkedIn.com / In / DanielUpton