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May 6, 2022·edited May 6, 2022Liked by Jason

Jason, another spot on posting brother , and I catch the 'mirror' you are holding up to us ! Keep em coming man.

As our team is working to roll out some pretty intensive PowerBI reports, we have to keep reminding the end users that if you don't go into these reports with specific questions (like "what is our long term profitability on ITT deals ?", or "why is our service revenue down 35% from last year?") , then you will get overwhelmed with a lot of drill down data etc. Most of us are not trained in statistics or data analysis, so it would be rare us to open a report and have an epiphany moment from the data. Thanks for pushing us all to better understand that "just because you can measure something...it doesn't mean you should measure everything " ! **kiss your sister/brother kinda thing right?? :-)

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Hit the nail on the head Mike! If you are going into a situation producing giant tables of numbers, consumers of that info are quickly going to start ignoring it.

Worthwhile data science is about answering questions asked by the business units not outputting tables of data that can't even be contained within an email.

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