i think that many business get lured into doing data-science because they think that math/stats powers grant borderline-mystical powers and that they can be used to peer into a data warehouse and create ideas/business strategies that no mere mortal (i.e., people with domain expertise in business) could have dreamt up.
But... most businesses aren't that complex, and people can usually come up with really good common sense ideas for how to make improvements.
Data-science is often most effective when it serves less as a visionary idea-maker and more as translator that helps common-sense ideas become real (optimizing values, figuring out the best roll-out strategies, building forecasts).
But... most businesses aren't that complex, and people can usually come up with really good common sense ideas for how to make improvements.
Data-science is often most effective when it serves less as a visionary idea-maker and more as translator that helps common-sense ideas become real (optimizing values, figuring out the best roll-out strategies, building forecasts).