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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.
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
Entity Relational Model for Transactions
Dimensional Model / Presentation Layer
Business
Intelligence
Risk
ReportA
Still
Doesn’t Match
ReportB
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
Scrum Development Lifecycle
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.
BI’s most time intensive phases
Data Vault Tables: Hubs, Satellites and Links
The most time intensive phases
…accelerated by Data Vault
Faster, but not yet Agile-Fast
Agile ModelStorming
Agile ModelStorming
Agile ModelStorming
Agile ModelStorming
Review time intensive phases
Breakdown each step into ‘Data Story’ size
Assumption: Same overall amount of work
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.
Recommended Technical Reading…
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.
LinkedIn.com / In / DanielUpton

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