Explicit Measures Podcast

62: Power BI Data Culture - Can We Measure Success?

Dec 2, 2021

57:04

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Highlights

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Episode notes

Is This a Quality Score?

02:41

Are You Having a Healthy Data Culture?

04:46

Are You Increasing the Levels of Data Literacy, Data Culture?

05:05

Introduction

2min

Voting for Yourself in a Presidential Election

2min

Data Culture - The Adoption Road Map Series

2min

Data Culture

2min

Are You Having a Healthy Data Culture?

5min

The Importance of Data Culture

2min

Do You Have a Data Culture?

5min

How Can I Track What I'm Producing?

1min

The Number of Requests Is Good, Right?

5min

10.

Data Culture

2min

11.

Is This a Quality Score?

3min

12.

The Quality of Requests

3min

13.

Are You Increasing the Levels of Data Literacy, Data Culture?

5min

14.

Do You Have a Set of Excellence?

2min

15.

How Long Does It Take to Adopt a Power Bi Initiative?

2min

16.

Do Surveys or Feedback Surveys With Initiatives?

2min

17.

The Feedback Surveys Are a Good Way to Create a Customer Voice

5min

18.

How to Measure Office Hours

2min

19.

Is There a Line With the Government's Initiatives?

2min

20.

How Do People Learn Power?

2min

21.

Is Your Data Center of Excellence Changing?

3min

A highly trending buzz word around Power BI is Data Culture. Growing, improving, and establishing a data culture is essential, and thanks to Melissa Coates' excellent Power BI Adoption Roadmap, we have a great framework on what to look for. That being said... How do you define and measure success for it? Can you even create measurable KPI's around it?

Power BI adoption roadmap: Data culture - Power BI | Microsoft Docs

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