Analysis implies the intelligent interrogation of data, the use of differing ‘frames’ through which to see the data, and to enable those non obvious connections to be made.
First you need ‘clean’ data, without which, nothing that follows will be worth much.
Thoughtful, critical analysis of data leads to insight, from which comes that elusive lightbulb moment.
Reporting is the opposite, it simply requires the cleaning, summarising and posting of the data without the critical thought from which real insight evolves.
No lightbulb.
AI is good at that, while not being good at generating insight.
Being data rich but insight poor is now a very common problem.
AI will not solve it for you, people are needed. Not just any people, seat warmers, but the right people with the curiosity and ‘why not’ attitude of youth, combined with the wisdom of experience and domain knowledge.
Unfortunately, these people do not grow on trees, ready for the picking. You have to grow and nurture them yourself, while recognising that many will move on at some point. The old adage of a rising tide lifts all boats is nowhere more relevant.
