Why does business analytics equate to analytics platforms that enable insights? I come from a background of a phd in math and where I developed custom algorithms for a DoD client that met their needs, but now that I’ve transitioned to a retail client, analytics suddenly means “tools” or “platforms”. What happened to the creativity to say there’s this mathematical formula in this other field that does X and another that does Z and if you stitch them together, it’s what you what (I.e company IP)?

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It's a build vs buy question.

Retail companies want to do retail not maintain code. Most of the time, it's as simple as that.

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I think people like buzzwords a lot and there are many who just likes to run with things and sell stuff… although in essence it means so much more and I totally agree a tool is just means of delivery.

Summarising my comment - people will be people.

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And they’re shiny. People want shiny buzzword stuff. So definitely agree with people will be people. Or sheep

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TLDR:
Selling instrumentation into retail is almost impossible for specific reasons, mostly scale


Long Answer:
Let's count retail locations for some well known stores. Last I counted, there were just south of 5k Walmart stores. Target has 1500ish and if we get in to small footprint stores like Gamestop, they had over 10K. Local grocers have anywhere from 5 to stores to 95ish with national and regional chains looking like Target.

Next time you go in a client store, count the number of registers, points of ingress, etc. Now - scale your measurement instrumentation to the total number of stores and recognize that if other folks in the industry don't do it already, retailers alone have a hard time doing so (with the exception sometimes of digital leaders like a target or home depot and even then, they have reservations. All instrumentation needs field support, maintenance, training and spare parts.

Lastly, giving a client a metric that they can't tie to something that they are used to is rough. Pretend retail smashes anything they don't understand, because they have a history of doing so... namely the 70s, 80s, 90s and 00s, with the 10s and 20s being the point that they realized that Amazon was a threat

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Because scale is real and many times you are dealing with analytics that tackle the scale technically or the nuance of that scale.

Blame Henry Ford and computing in the 60s making that the literal definition of data analytics

Upsell to the custom stuff after you set up the cookie-cutter stuff

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