For a company that’s not too big, not too small - call it "small medium-sized" - data analysis is super important. But in reality too often, we’re all running head-down and don't dedicate the time needed.
We looked at a few options, played around with them; below is a short recap.
Chat GPT: Looked like a game-changer. The potential is massive for sure. But it's not there yet when it comes to crunching big numbers (or a large amount of them). It’s cool for language stuff but doesn’t quite seem to add up when you need the numbers to tally up. Not the lethal weapon right now, but soon might as it is constantly getting better.
Microsoft BI: the powerhouse for sure. You don’t need a black-belt data wizard to start making sense of it - or at list to get it to spit out some good insight - which is a plus. But if you’re in the Mac camp, like with most Microsoft stuff, that's an issue.
Tableau: got that modern edge, no question. Packs a punch and if you've got the time & brains to dive in, it’s likely a treasure trove of insights. Requires a lot of work/time.
If lean on staff and not up for an 18 months course in data analytics Julius.ai, so far, seems like one potential solution to consider. Good visuals, intuitive, cleans up csv without issue before providing insight. Perfect? Prob not. But a solid player that ends up being useful after the first 15mn using it.
And, oh wait….today OpenAI released it’s GPTs (https://openai.com/blog/introducing-gpts), custom versions of ChatGPT - or GPTs -that allow anyone to tailor an AI to one;s specific needs and share it with others. And a GPT Store is soon coming, the Apple store version but for AI models .
This tech is going to change (it already has) the way any business operates and tremendously even out the playfield between smaller businesses and larger ones.
I am no tech wizard but gonna keep on exploring, using AI, possibly looking at playing around with a PM GPT.
These times are genuinely extremely exciting.