It is easy to look at Power BI dashboards as static, but you can use some old school techniques to provide the ability the generate dynamic content using data-driven global settings that will be available to all your report developers. These techniques will allow your published reports to remain unchanged but allow the reports to dynamically reflect default information shown to the user, such as Current Month, Report Comments and even a time stamp of the last data source update.
I must say that I enjoy articles that teach me something new from people who have a great depth of knowledge about a topic. I read an article by Avinash Kaushik, Create High-Impact Data Visualizations: Nine Effective Strategies, which covers nine strategies while reviewing sixteen visualizations. It reminded me of three key learnings I have had over my career.
PowerBI has the ability to mashup data from different sources; this may introduce problems when joining or matching data between systems. I was able to get around this issue by leveraging an R script from an article in the community. As a consultant there is a rule that if you use something from the community, you need to give back and particularly if you use it twice, you have to write a blog post. This is such a post.
Pie Charts are evil? Well, given the correct situation, pie charts can be used to your advantage. The following case study uses Power BI samples to provide recommendations to get the most out an often misused visualization.
PowerBI has built-in date hierarchy features that seem to cause confusion in not only new users but experienced users. This article shows you how to avoid errors.
Visualizations can make even the most mundane information more accessible and easier to digest. I put together these two facts to make a visualization out of my lesson plan that the students could take away as a memory jogger when they get back to their offices.
Data visualizations can become the vehicle that leads a reader through your narrative. Having an infographic or series of visuals allows one to tell a story and provide greater understanding than simply having text alone.
You can improve your data visualizations productivity by using the built-in table functionality available in Excel. This tutorial and sample Excel workbook, available on GitHub, will move you from raw table to interactive analysis in less than 5 minutes.
The date dimension is the table that controls your time analysis and the most important to get right, especially with PowerBI and other visualization tools. Having various tags and descriptors that aid in your analysis gives your end users several options in creating their visualizations in addition to a base for DAX time intelligence calculations.