Optimizing Power BI: Enhancing Performance Through Data Modeling
Do you want to enhance the performance of your dashboard? Experience shows that most performance issues in Power BI can be addressed with a few simple adjustments to the data model.
Therefore, this session will address the following questions:
- What constitutes a strong foundation for a data model?
- What are the advantages and disadvantages of different data models?
- How can you manipulate data to generate the right insights?
A robust data model can resolve many issues effortlessly, including:
- Even with limited expertise, you can boost performance with a few tips, resulting in faster loading times for your reports.
- Utilizing the appropriate data model makes it easier to craft DAX formulas, reducing complexity in the process.
By the end of this session, you'll have a clear understanding of what factors to consider. You can then apply this knowledge directly to your daily tasks.
Speaker
Peter van den Bos
Peter van den Bos is a Business Intelligence Consultant, speaker, and founder of Dutch BI Geek. For over a decade, he has helped organizations get a better grip on their data – making Power BI not just look good, but also run fast and make sense. With deep expertise in data modeling and DAX, Peter has a talent for explaining complex topics clearly and with energy.
He shares his insights through blogs, vlogs, and training sessions, always with one goal in mind: helping others make better, smarter decisions with data. Expect practical tips, performance tweaks, and well-grounded advice – straight from the field. His sessions are a favorite among controllers, analysts, and BI professionals who want to understand what’s really going on under the hood.
When he’s not training or presenting, you’ll find him tweaking data models just for fun, deliberately slowing down DAX queries (so he can fix them), or stress-testing visualizations like it’s a competitive sport. His Dutch-language YouTube channel is a playground for anyone with a passion for Power BI – or anyone ready to embrace their inner data nerd.
