It’s often true that “a picture is worth a thousand words” but sometimes a picture can be such an effectively communication medium that no more words are necessary. Such is the case with this year’s Gartner Magic Quadrant rating of leading Business Intelligence vendors. Gartner is the undisputed authority on IT industry ratings. In years past, Microsoft was often seen as the “underdog”, the “challenger”, the “up-and-comer” and the less expensive consolation for customers who couldn’t afford the best solutions. No more…Just look at the top-most rating in the leaders/able to execute quadrant. Yea, that’s right. We bad!
Even for small, informal BI projects, shaping the data into a dimensional model alleviates complexity, speeds up slow calculations and reduces the data model storage size. I conclude this post by reviewing seven data architectures and the data shaping methods with different degrees of scale.
This is going to be a very busy week for presentations Iam presenting with five sessions scheduled on the topic…
This is an introduction to a series of posts and pages that will provide a comprehensive set of best practices for successful Power BI solutions. In previous posts. Let’s start with a simplified flowchart and condensed decision tree. This first whiteboard drawing is the first half of the Power BI design process, ending with the data model, before measures, visualization and solution delivery. There is a lot more but I think this is a good starting point. Let’s start the conversation here and then I will enhance this post with a more complete list of topics.