Insights

Microsoft Power BI Truly is the Gift that Keeps Giving

By Jamie Cameron Dec 15, 2016

Microsoft recently released another update to their Power BI software which introduced a number of pretty cool enhancements, including the ability to auto-generate ‘cluster’ analytic visuals from a dataset and dramatically improving the efficiency with which large sets of data are being loaded via an Odata data feed.

Now, to put these two great new features into perspective, they’re two amongst twelve such improvements released in this package and they release a new enhancement package at the end of each and every single month. These updates aren’t merely bug fixes, no – they are bonafide functional improvements, and they are always happening.

That’s pretty incredible when you step back and think about it, and certainly not something you see every day in the world of BI Analytics software. Least of all when said BI Analytics software costs you nothing.

Let me briefly list a random sampling of some of the improvements that have been deployed over the past few months:

  • New data connectors (Amazon Redshift and Impala) – July
  • Use ‘R’ script in Query Editor – July
  • Export data behind a visual – March
  • New KPI visual – March
  • Improved relational database connectors with Display Schema information – May

I mean, I could go on, but there’s a word limit on this thing and in any case, you can check the full list out yourself here.

Finally, Microsoft have also provided the Power BI community with the tools to not only create their own custom data visuals, but to also make these available to all Power BI users by uploading them to the Power BI custom visuals gallery. And some of these custom visuals are tight, as in, often better than the original visuals whose wrongs they’ve clearly sought to right (here’s looking at you GlobeMap).

With Xmas almost upon us, it’s entirely appropriate to say that Power BI truly is the gift that keeps giving…

Check out our white paper to discover how we used Microsoft’s family of self-service BI tools to extract valuable insights from fisheries data to sustainably manage fishing in the South Pacific Ocean.

Blog & white paper written by Jamie Cameron, FINNZ Business Analyst

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