Any attempt to apply universal best practices to Power BI solution design is a slippery slope. The tools are so flexible and powerful, and the requirements of each project are so varied that it is challenging to establish a set of steps or rules that, if followed, will always yield the absolute best design for a given scenario. With that out of the way, I’ll say this: In my job, I see a lot of poorly-designed Power BI projects. I’ve worked with dozens or scores (maybe even hundreds?) of consulting clients who bring us projects – some partially completed, some finished, and many that are just broken – to be fixed or completed. My reactions range from “that’s just downright wrong” to “hmmm… I wouldn’t have done it that way but I guess it will work for the time being”. I try not to cast stones and do, on occasion, realize that others have found a better way to solve a problem. I don’t have all the answers but I do have a lot of experience with Microsoft Business Intelligent solution design. I have learned many good practices and design patterns from community leaders over the past twenty or so years.
This is only the introductory post in the series, but I’m excited to see what Paul has in store.