Business Intelligence Functional Approach Chris Frederick University of Notre Dame
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Transcript of Business Intelligence Functional Approach Chris Frederick University of Notre Dame
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Business Intelligence Functional Approach
Chris FrederickUniversity of Notre Dame
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Traditional BI: A pictorial summary
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What you want What you get
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What happened?
Customer UnsatisfiedDelivery late and incomplete
Key issues:• Insufficient collaboration• Low accountability• User doesn't know all the requirements up front• Bad data• No shared data definitions (lack of data governance)• Overly Complex and hard to maintain• Tools are too difficult
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Waterfall didn’t work
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Be Agile
A scrum board
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Are we getting the right information into peoples hands?
Write user “stories” that deliver business value.
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Three days later…
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Priorities change
Original User Story Actual Report
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Breakthrough: In-Memory BI
Advantages
• Mash-up data from disparate sources• Column oriented databases; can easily fit
10s of millions of rows of data into memory.• Reduces need to optimize database• Quickly create rich interactive dashboards
Disadvantages
• Security needs to be the first and foremost concern when deploying In-memory tools.
• Usually requires 64-bit architecture• Watch out for “spread marts”
The measure of its usefulness involves how easily and quickly you can ask, refine, and reframe questions of the data.
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“Hot” In-Memory BI tools
Microsoft PowerPivot for Excel
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Work with partners who are “shovel ready”
• Highly motivated• Available - can commit people resources• Well understood business problem
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co-locate(get out of the server room!)
Daily Stand ups are the best!
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Schedule Live BI Demos
• The product owner gives the demo.
• IT does not give the demo.
• Invite a broad range of campus BI users.
• About two demos per project feels about right.
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Learn in the least costly manner
Data Governance
Process
Data Gov.
Complete?
RelationalData
Warehouse(star
schema)
Personal BI
(in-memory)
Team BI(in-memory)
Data Gov.
Burned In?
(Key Stakeholders &their team)
No
No
Yes
Yes
NewIdea!
2x – 4x 8xCost of
1x
(Key Stakeholders)
Increasing Data Quality and Access
Enterprise BI
(campus-wide fine-grain access)
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What you get