On the final Friday of each month, we set an Excel / Power Pivot / Power Query / Power BI problem for you to puzzle over for the weekend. On the Monday, we publish a solution. If you think there is an alternative answer, feel free to email us. We’ll feel free to ignore you.

On the final Friday of each month, we are going to set an Excel / Power BI challenge for you to puzzle over so that you can get your “Excel fix”. Challenge your office colleagues to see who can solve the puzzle quickest. There are no prizes at this stage: you are playing for bragging rights only!

On the final Friday of each month, we set an Excel / Power Pivot / Power Query / Power BI problem for you to puzzle over for the weekend. On the Monday, we publish a solution. If you think there is an alternative answer, feel free to email us. We’ll feel free to ignore you.

On the final Friday of each month, we are going to set an Excel / Power BI challenge for you to puzzle over so that you can get your “Excel fix”. Challenge your office colleagues to see who can solve the puzzle quickest. There are no prizes at this stage: you are playing for bragging rights only!

The challenge this month was to create a PivotTable that showed the sales amount made by each salesperson in their individual business units, as well as a percentage breakdown for each business unit and the percentage contribution of each business unit to total sales. Easy, yes?

We are all aware that Power Pivot works with the DAX (Data Analysis Expression) language. Power Pivot employs DAX for data modelling, and it is simple to use for self-service BI. Data tables and columns in data tables are the foundation of DAX. It's worth noting that it's not reliant on individual cells in the table like Excel's formulae and operations are. Data Analysis Expressions (DAX) may appear overwhelming at first, but the fundamentals of DAX are simple. However, as we continue to try to tackle ever more challenging challenges, we occasionally reach some hard boundaries.

On the final Friday of each month, we set an Excel / Power Pivot / Power Query / Power BI problem for you to puzzle over for the weekend. On the Monday, we publish a solution. If you think there is an alternative answer, feel free to email us. We’ll feel free to ignore you.

On the final Friday of each month, we are going to set an Excel / Power BI challenge for you to puzzle over so that you can get your “Excel fix”. Challenge your office colleagues to see who can solve the puzzle quickest. There are no prizes at this stage: you are playing for bragging rights only!

On the final Friday of each month, we set an Excel / Power Pivot / Power Query / Power BI problem for you to puzzle over for the weekend. On the Monday, we publish a solution. If you think there is an alternative answer, feel free to email us. We’ll feel free to ignore you.

On the final Friday of each month, we are going to set an Excel / Power BI challenge for you to puzzle over so that you can get your “Excel fix”. Challenge your office colleagues to see who can solve the puzzle quickest. There are no prizes at this stage: you are playing for bragging rights only!