I'm all better now, thanks for asking.

WARNING!! If this post was not part of a series, it would probably be titled something along the lines of "Things that Greg Feels Like Ranting About at the Moment that are Tangentially Related to Translating Excel Functions to DAX". So...just so you're warned...and stuff...

Well, after about two weeks, we have reached 91% coverage of Excel functions translated to DAX. The original goal I had in mine was 80% coverage so we've exceeded my original goal and since progress has definitely slowed and become increasingly difficult to move the needle I figured this would be a good time to pause and reflect upon what we’ve learned thus far.

Only 6% of Analytics Reporting in organizations source their data from standard databases. Oh no, I made up that number. I have no idea what the numbers are. But I am certain that the majority of self-service BI & data analytics users must deal with a lot of crappy data.

One of the big issues Power Query users must also deal with is Table Structuring. When should you use “Transpose” and when should you use “Unpivot”?

Time intelligence functions are incredible DAX (Data Analysis Expressions) within Power BI that support business analytics in the most efficient way. These DAX functions enable the manipulation of data using periods or time frames, such as days, months, quarters, and years. With time intelligence, you can create formulas and compare results or calculations over those time frames. 

"We want to be able to export an unlimited number of rows from Power BI from any filtered report, retaining aggregations and totals without the need for a developer to assist.". I was hoping to leverage Power BI Paginated reports which were released about a year ago. "Yes, we already considered that, but it's too complicated for our business users," the client stated