Power BI Self-service Implementation: What Is Required to Ensure Success With Lars Schreiber

If you are working in the BI & Analytics field, you may have heard of self-service business intelligence (BI). In fact, you might also have a strong interest in implementing Self-service BI into your organization.

Self-service BI systems like Power BI allow you to put your data models into the hands of many users and let them analyze their own data without the involvement of developers. While every organization is different, there are some general guidelines that can ensure a successful implementation.

Lars Schreiber is an independent consultant for Self-Service BI with Microsoft Power BI. He has more than 11 years of experience as a Controller in different industries. In 2017, he became a Microsoft Most Valuable Professional (MVP). He also founded the first German Power BI User Group in Hamburg. The following year, he decided to do his own thing and became a freelancer, helping companies with data analytics on a more advanced basis.

In this episode, Lars talks about how he evolved his skillset around Power Pivot, Power Query, and Power BI. He’s experienced working with different kinds of customers. and what he thinks is necessary for a successful self-service PowerBI implementation.


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**** Video Details ****
00:00 Introduction
06:52 The marketing strategies Microsoft used to promote Power Pivot and Power BI
08:55 Googling Excel and VBA compared to Power BI and DAX
10:21 Lars two customer category
12:01 How building a Business Intelligence (BI) solution is analogous to building a house
13:05 Enterprise DNA’s Four Pillar Approach
14:42 The importance of learning Power BI from a good starting point
19:33 Requirements for a successful self-service PowerBI implementation
26:27 Thoughts on the Power Platform
30:04 The Power BI feature Lars finds most useful
32:42 Microsoft Dataverse
36:04 An interesting insight into Microsoft's promotion of Power BI
42:10 Lars's thoughts on how Power BI has evolved over the years
44:03 Possible consequence of automation when creating a Power BI report
46:33 Thoughts on GPT-3 an AI feature to Power BI and other External Tools for Automation
52:04 Tips on developing your skill sets as a Power BI Report Developer
55:09 What Lars is looking forward to with Power BI


**** Related Links ****
Connect with Lars Schreiber
LinkedIn:   / lars-schreiber-80968129  
Blog: https://ssbi-blog.de/
Podcast: https://podcasts.apple.com/us/podcast...


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