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DAX Formulas for PowerPivot:

<insert new subtitle here>

***UPDATE:  Poll closed, please see part two here:  Followup Poll.

Last week I mentioned that I was going to rename the book now that the first print run is about to finish selling out.  The title was a mistake on my part – it sounds dry and techie, and the reviews all say otherwise.  A few people even called it a “page turner” and specifically mentioned that the title made them expect something much drier.

After thinking about it some more, I don’t think completely changing the title is a good idea.  I don’t want people who already have the book to get confused and buy it again – that would feel pretty sleazy.

But I WILL change the subtitle.

Help me pick a new one before it goes to the printer Smile.  You can pick up to three, and/or write in another suggestion.  Thanks folks!

Rob Collie

Rob Collie

One of the original engineering leaders behind Power BI and Power Pivot during his 14-year career at Microsoft, Rob Collie founded a consulting company in 2013 that is 100% devoted to “the new way forward” made possible by Power BI and its related technologies. Since 2013, PowerPivotPro has rapidly grown to become the leading firm in the industry, pioneering an agile, results-first methodology never before seen in the Business Intelligence space. A sought-after public speaker and author of the #1-selling Power BI book, Rob and his team would like to help you revolutionize your business and your career.

This Post Has 3 Comments
  1. I think keeping the “DAX Forumlas for PowerPivot” title is a BIG mistake. “What the heck is DAX” is what most people who haven’t yet read the book will say.

    Why not something more descriptive of the problem that PowerPivot actually solves:
    Mash up big data on-the-fly with Excel PowerPivot: (Get more out of Excel via Microsoft’s PowerPivot Add-in)

    On the downside, some people who brought the old book might buy the new one.
    On the upside:
    * some people who brought the old book might buy the new one.
    * lots of people who won’t buy a book about something mysterious called DAX might buy a book about mashing up big data effortlessly

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