This Email and the Highlighted Text were Automatically Generated in Response to DAX “Detectors” Scanning Our Results During Scheduled Refresh I’ve Wanted this Feature Forever. We Now Have It. Classes Announced for Houston, Los Angeles, Indianapolis, and London First, we…
Out of 407 Total Combinations of Subcategory and Region, These 8 Stand Out This Month (These 8 Combinations Differed GREATLY from their Respective 12-month Averages) A Post Long in the Thinking: Formulas that “Scan” (What’s this, you say? An actual…
Level: Intermediate Last week I attended the 2016 PASS Business Analytics Conference in San Jose. I attended my first BA Conference last year and had a blast - this year was equally as good. However I had a really interesting…
YTD is easy with “standard” calendars, but the previous year’s equivalent is a non-obvious formula. Back in the Saddle! What’s this, you say?? Yeah, it’s Rob, and I’m here with an actual formula post! Woo woo! Starting the year off…
I was relaxing during my vacation thinking some more about column compression in Power Pivot. One of the main things to know about compression is that a high level of cardinality is your main enemy (ie a large number of…
One of the concepts I discuss in my new book Learn to Write DAX, is that you should break your DAX problems into manageable pieces so that you can solve the problem one step at a time. Most of us…
Post by Rob Collie
First, a Few Quick Updates…
1) Just a reminder that enrollments are open for the live, in-person two-day classes taught by me (Rob) in Indianapolis and Washington DC (in October and November, respectively.) Sign up now – those dates will be upon us sooner than we all realize!
2) The pre-order for DAX 2nd Edition is going Great! Thanks to everyone who has pre-ordered and/or contributed. PRE ORDER HERE if you have not already, and don’t forget the exclusive swag rewards like the sticker, poster, and t-shirt.
3) Ola Freaking Rosling is now using Power BI, and threw us a “shout-out!” OMG, check out this tweet. I nearly peed myself:
If I hadn’t heard so much Anti-Microsoft-Propaganda, I would’ve solved my data-integration faster with Power BI & Power Query @powerpivotpro
— Ola Rosling (@OlaRosling) September 16, 2015
If you don’t recognize the name, his dad is Hans Rosling, the speaker in the first TED talk I ever watched:
Click Image to View the Talk
…In which he did the animated bubble chart demo that I’m 100% positive was the inspiration for Amir Netz adding animated bubble charts in the next two product releases
Here’s Ola and Hans co-presenting on the state of world health and social justice, via data of course:
Again, Click to View the Talk
A celebrity in that Google-y, Apple-y, Silicon Valley-y “doing good with data in the public interest” space using Power BI and saying that Power BI is awesome, and that he’d previously been scared off by all the anti-MS propaganda… well that is simply awesome.
But I won’t lie – that he gave US a mention in that tweet – I *do* find that to be even cooler. I’m human. I can’t help it. I smile every time I think about it.
Slaying the “White Whale” of Variable-Rate Forecasting with PRODUCTX
“Arrrrr! We Be Meeting Again!”
I was helping a friend out recently with an interesting problem. It all started with a SUM( ) that wasn’t behaving. It quickly became a SUMX( ) problem but evolved into a DAX Studio/Query problem. Let me explain.
The Root Problem – Same Store Sales
Many retail businesses open and close stores throughout any given year. This creates a problem because it is difficult to determine if business growth is vertical (increased sales within existing stores) or horizontal (expansion of the store base). It is common to do analysis on “same store sales” where you only include stores that had sales for the entire period this year and also last year. There are quite a few posts already on this topic on PowerPivotPro.com, but this is a good opportunity for me to talk about SUMX and also DAX as a query language. I have reconstructed the scenario with some test data. You can download the workbook here if you want to take a look.
I started off with some base measures as follows:
A. Total Sales:=SUM(Sales[Extended Amount]) B. Total Sales LY:=CALCULATE([Total Sales], SAMEPERIODLASTYEAR(Calendar[Date]))
There are a few different ways to work out sales last year, but I have used SAMEPERIODLASTYEAR above and this works just fine in this instance.