Explicit Measures Podcast

264: Low User Adoption Rate in Power BI & What To Do About It

Nov 2, 2023

Brent Dykes, Author of Effective Data Storytelling, discusses low user adoption rate in Power BI and the importance of user enablement. The podcast covers challenges of measuring success and engagement, approaches to increase user adoption, and the need for a monitoring solution for Power BI.

01:00:13

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Episode guests

Brent Dykes

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Quick takeaways

Regularly assess and update reports to ensure they remain relevant and aligned with changing business requirements.

Encourage collaboration and open communication to drive user adoption and engagement.

Empower report authors with strong DAX skills and comprehensive documentation to enhance the quality and effectiveness of reports.

Deep dives

The Importance of Measuring Success and User Adoption in Reporting

One of the main challenges in reporting is measuring success and user adoption. It is not enough to simply build and publish a report. It is crucial to understand if the report is meeting the needs of the business and if users are actively engaging with it. This requires implementing a feedback loop where users can provide suggestions and improvements for the report. Additionally, it is important to regularly assess and update the report to ensure it remains relevant and aligned with changing business requirements. By actively measuring success and user adoption, organizations can ensure that their reporting efforts are effective and provide value.

Introduction

3min

Low User Adoption Rate in Power BI

7min

Exploring a New Tool for Connecting to Data Sets with Notebooks

2min

Upcoming Microsoft Ignite Event and New VS Code Feature

2min

Discussing Power BI, Conferences, Minecraft, and Data Analysis

2min

Measuring Success and Engagement in Power BI

24min

Increasing User Adoption in Power BI

17min

The Importance of Having a Monitoring Solution for Power BI

4min

Mike, Seth, & Tommy dive into a post by Brent Dykes (Author of Effective Data Storytelling) focused on why BI works on the "set-and-forget" method and how this can be a terrible workflow for data culture. How do we move from moving on to the next project and focusing on user enablement?

Link to Post: https://www.linkedin.com/posts/brentdykes_analytics-businessintelligence-data-activity-7112468080148062208-znuN

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