Regardless if you’re using Excel, Snowflake, or ChatGPT, the end goal of using data is to provide some sort of value.
For businesses, this often means cutting costs or increasing revenue. Of course, the initiatives written out by a consultant or a CEO will never be titled something so bland.
One example I have from my past was when I worked for a healthcare analytics company and we built a solution to help detect provider fraud. Within the first few months of deploying several instances of this solution, our customers were seeing well over 100% ROI (and that was just in the first few months). We used data to create value and it was very clear on the output that was provided.
But let’s go beyond just my experience.
I talked to several individuals who are/were managers, directors, and leaders of data teams to help me answer a pretty straightforward question, which was “How have you used data to create value for your company?”
There were all sorts of answers, some that focused on the value of improving healthcare outcomes to helping improve business efficiency.
So let’s dive into it.
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