1. Agile Power BI
for
self service

2. 64% of business managers have seen their decision window shrink
40% growth of analytic data volumes
CIO
More speed, faster, more manageable, more governance, less cost – (I need a new tool)
Analysts
Easier access to data. All data in one place. More freedom to work with data. Don’t ask me to commit to requirements. Trusted data quality.
But they also want to look across various business processes, from Marketing initiatives to sales, to inventory managements, to quality and service
Two fundamental challenges – Time and Data Integration and Architecture
Increasing pace of business to respond quickly to customer needs
Reduced cycle times and pressure to react faster
Exponential growth in data, sources and reporting needs
Need to deliver on reporting needs today
The next business question is already here!
8 Days is the average time needed for IT to add a column to a report
Source: Agile Bi: Complementing Traditional BI to Address the Shrinking Decision Window, November 2011,. Aberdeen Group

3. BI Challenge 1: Time
Increasing pace of business to respond quickly to customer needs
Reduced cycle times and pressure to react faster
Exponential growth in data, sources and reporting needs
Need to deliver on reporting needs today
The next business question is already here!
Can we deliver an Enterprise BI solution tomorrow? Next week? Next month?

4. BI Challenge 2: Data Integration & Architecture
Changes in DW
Transparency: Report what happened? (DW and Reports)
Improvements
Measure change impact
(Evolve DW, Dsh, Rpts)
Discover & Question what’s happening?
(Dashboards and Ad-Hoc Analysis)
Processes & Data
Changes
What should happen?
(Goal and process)
Understand Why? Cause & Effect?
(root cause & predictive analytics)

5. BI Battle Business IT Long, slow and expensive Hard time prioritizing
Data quality is not acceptable
Cannot define all requirements upfront
Need all the data
Need freedom to change rapidly
Cannot wait in IT queue
Have limited capacity
How many formats can we produce
Cannot own data quality
Scope Creep all the time!
Need more time & money
Hard time to determine feasibility
Constant change is hard

6. Agile BI Strategy Iterative delivery of reports and dashboards
Business Vision & Strategy
Assessment & Roadmap
Data, Report Request
Define Business Questions
& Outcomes
Plan, Estimate, Scope
Prototype (requirement validation)
Enterprise Architecture
Production Power Pivot, Tabular
Feedback
Enterprise Data Architecture
ODS, EDW, Cube
Design
Develop
Test
Deploy
Time
Iterative delivery of reports and dashboards
Weeks instead of months using Microsoft BI &
Explore data and understand
Evaluate needs by sharing and learning
Evolve to build robust architecture for the enterprise
Repeat process
BI Strategy to Foster Continuous Improvements
Strategy has been successful in gaining new projects, new customers and delivering additional value on existing projects

7. Prototyping Goals Output Rapid iteration
Flexibility to make large changes
Minimal IT involvement
Focus on business user needs and requirements
Output
Design and specification of end-user-facing deliverables
Requirements for back-end data implementation
pbix file for reports

8. Prototype architecture

9. Team solution Goals Outputs Operationalize prototype quickly
Governance and auditing of access
Empower report authors to own much of solution
Provide access across many users
Some access control
Outputs
End-user-facing reporting
Power BI-hosted reports in a Power BI App or Workspace

10. Team solution architecture

11. Enterprise solution Goals Outputs Solution that is
Robust
Scalable
Highly available
Centralize maintenance and management of data and access controls
Leverage IT resources and standard processes
Outputs
Hardened solution for end-user-facing reporting
ETL to prepare data in conformance to specification from prototype and team solution
Semantic layer with encapsulated and reusable business logic

12. Enterprise solution architecture
Note: Gateway is optional if Semantic layer is cloud PaaS option