Microsoft Energy BI, together with Energy Pivot and Energy Question, are a collection of unfastened upload-ons to Excel that permit customers to provide new types of stories and analyses that had been merely not possible earlier than.
This e book, revealed in complete-stunning colour, offers you an summary of Energy BI, Energy Pivot and Energy Question, after which dives into DAX formulation, the middle capacity of Energy Pivot. All the time from the point of view of the Excel target market.
Written via the sector’s most fulfilling Energy BI bloggers and practitioners, the e book’s ideas and manner are offered in a easy, step by step way adapted to the educational taste of Excel customers all over the place. The ways offered permit customers to provide, in hours and even mins, effects that until now could have taken complete groups weeks or months to produce
This e book contains classes on:-
  • difference among calculated columns and measures
  • how formulation may also be reused throughout stories of utterly different shapes
  • how to merge disjointed units of knowledge into unified reports
  • how to make sure columns in a pivot behave as though the pivot had been filtered whilst different columns do not
  • how to create time-wise calculations in pivot tables akin to “Yr over Yr” and “Shifting Averages” whether or not they use a regular, financial, or a whole customized calendar.
  • how to leverage Energy Question to make your Energy Pivot fashions superior!
  • how to make use of Energy BI Personal computer and and the way they have compatibility into the Excel landscape

The “development-like” ways and highest practices contained on this e book had been evolved and delicate over a couple of years of onsite coaching with Excel customers world wide, and the important thing classes from the ones seminars costing heaps of greenbacks consistent with day are actually to be had to you, inside the pages of this simple-to-practice information. This up to date 2nd model covers new options offered with Place of work 2016 and Energy BI Personal computer.