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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.
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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-based decision-making as an everyday routine
How to maximize BI stakeholder satisfaction and accelerate time to completion…
1. Break down stakeholder requirements gathering sessions to result in concise Data Stories 2. Complete a potentially shippable increment (PSI) in all, or nearly all, Sprints3. With each PSI, be ready and able to re-prioritize after every Sprint.
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
Report A Still
Doesn’t Match Report B
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
Traditional Waterfall Principle:Big Design Up Front (BDUF) -- An end-to-end design on which to build an entire solution.
Lean Principle:Just Enough Design Up Front (JEDUF) -- A design increment with just enough design features on which to build and deliver an incremental solution that satisfies a required feature’s Acceptance Criteria.
Agile Principle: 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. Set up multiple team-tracks. Be ready for changing priorities.
The most time intensive phases
…accelerated with Agile DW Design
Data Vault already accelerated the Waterfall
Agile DW design and Data Vault accelerate each other
Agile Data Vault within Sprint Cycles
Result: Maximize stakeholder satisfaction and accelerate time to completion. How? 1. Break down stakeholder requirements gathering involvement into concise Data Stories 2. Complete a potentially shippable increment (PSI) in all, or nearly all, Sprints3. Be Agile: With a PSI, be ready and able to re-prioritize after every Sprint.
Recommended Technical Reading…
For an introduction to Data Vault…
“Data Vault: Data Warehouse Design Goes Agile”
www.slideshare.net/DanielUpton
The Business Intelligence Promise:Smarter, more fact-based decision-making as an everyday routine
How to maximize BI stakeholder satisfaction and accelerate time to completion…
1. Break down stakeholder requirements gathering sessions to result in concise Data Stories 2. Complete a potentially shippable increment (PSI) in all, or nearly all, Sprints3. With each PSI, be ready and able to re-prioritize after every Sprint.
LinkedIn.com / In / DanielUpton
