Agile BI via Data Vault and Modelstorming

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

Negócios Tecnologia

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

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

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

Entity Relational Model for Transactions

Business
Intelligence
Risk
ReportA
Still
Doesn’t Match
ReportB

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.

Data Vault Tables: Hubs, Satellites and Links

The most time intensive phases
…accelerated by Data Vault

Breakdown each step into ‘Data Story’ size

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

The most time intensive phases
…accelerated with Agile DW Design

DataVaultalreadyacceleratedtheWaterfall
Agile DWdesign andDataVaultaccelerate eachother

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

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

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

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Agile BI via Data Vault and Modelstorming

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

10.

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

24.

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

31.

32.

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

Agile BI via Data Vault and Modelstorming

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