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Business Intelligence Functional Approach Chris Frederick University of Notre Dame. Traditional BI: A pictorial summary. What you get. What you want. What happened?. Customer Unsatisfied Delivery late and incomplete Key issues: Insufficient collaboration Low accountability

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Business intelligence functional approach chris frederick university of notre dame

Business Intelligence Functional ApproachChris FrederickUniversity of Notre Dame



What you want

What you get

What you want


What happened

What happened?

  • Customer Unsatisfied

  • Delivery 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



Be agile
Be Agile

A scrum board


Are we getting the right information into peoples hands
Are we getting the right information into peoples hands?

Write user “stories” that deliver business value.



Priorities change
Priorities change

Actual Report

Original User Story


Breakthrough in memory bi
Breakthrough: In-Memory BI

The measure of its usefulness involves how easily and quickly you can ask, refine, and reframe questions of the data.


Hot in memory bi tools
“Hot” In-Memory BI tools

Microsoft PowerPivot for Excel


Work with partners who are shovel ready

Work with partners who are “shovel ready”

  • Highly motivated

  • Available - can commit people resources

  • Well understood business problem


Co locate get out of the server room

co-locate(get out of the server room!)

Daily Stand ups are the best!


Schedule live bi demos

Schedule Live BI Demos


Learn in the least costly manner

Data Gov. Burned In?

Data Gov. Complete?

Relational

Data Warehouse

(star schema)

Data Governance

Process

No

Yes

No

New

Idea!

Enterprise BI

Team BI

(in-memory)

Personal BI

(in-memory)

Yes

(Key Stakeholders)

(campus-wide

fine-grain access)

(Key Stakeholders &

their team)

Increasing Data Quality and Access

1x

2x – 4x

8x

Cost of



Questions cfreder2@nd edu

Questions?cfreder2@nd.edu


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