Over a decade ago I had the pleasure to create a small desktop application for Chammas Cutters, this was the Grain Selector tool pictured above, and it helped their clients quickly determine how much gas-generating grain to use in the application of their chemical cutter tool.
While pretty basic (and written in it) the desktop application served a good purpose for the past 10 or so years. Prior to the desktop application, clients would have to resort to a rather bulky and complicated spreadsheet-type catalog tables, which can be more time confusing and can lead to human error.
Now that it needed to be improved or rewritten, I decided to replace it with a Power BI report that took just a few hours to create. Here’s why I chose that path:
As an end-user of a Power BI report, a chart that looked great at first might look not so great once you start applying filters or using slicers. Very large values in the data might throw off the scales and now your line chart might be suddenly all squeezed at the top or the bottom. Does any of the above sound familiar?
Usually it’s the report designer who has all the power, this article is about giving more power to Power BI end users…
End users’ ability to change the scale, appearance or formatting of that chart is limited. That’s why I started creating the Mi4 Line Chart Power BI custom visual that lets you switch scales on the fly, and eventually have more overall control of the visual without having to edit the report.
Welcome to the second post in our miniseries: “Are You Developing Power BI Reports the Right Way?” In the two-part series we are designing a sample Power BI report visualizing the weather on Mars and using some real world techniques.
Data is king, or queen depending on your household dynamics. How you communicate that data and its impact to your clients can help or hurt your business. Both your short and long term relationships can hang in the balance, which is why the quality and delivery of your Power BI reports are everything.
Case Study: Power BI Report Development
In this blog post mini-series, we will be taking you through the process of creating a Power BI report. The demo report draws from one we created for a client as part of a larger dashboard project. It implements a line chart to visualize the weather on Mars.
The actual report we developed had nothing to do with Mars, space, or weather, but you should find it useful to understand how real-life issues can be resolved and optimizations can be employed. The first post in the series focuses on data-prep and implementation of a legend slicer.