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.
What You’ll Learn From This Episode
- The difficulty of learning Power BI via Googling
- An analogy of building a Business Intelligence (BI) solution based on Lars
- The importance of learning Power BI from a good starting point
- Requirements for a successful self-service PowerBI implementation
“People now coming from those institutions [Universities] already know what Power BI is. So 10 years in, in the future, this thing will look totally different, but now you need to educate those people.”
– Lars Schreiber
Connect with Lars Schreiber