PetroStreet

I hope I am not the only one facing this issue of a lot of digitization going all around, with plenty of data incoming, flagging, plenty of dashboards, performance reporting etc.
If you wanna say me in one line, I would say that I am experiencing, "Too much data, from too many systems, with unclear meaning, arriving faster than humans can interpret."
If anyone out there is feeling the same thing, share something how to manage this situation?

It has not come only to you but to many who were smartly working everyday on how the data should be analyzed, and presented. I would say that analysis part has stayed behind in all this, collection, and presenting is leading.
Analysis by all means can be done by AI however, no analysis should be made basis of any decision until it is reviewed by the people responsible. There are cases where we have perfected the system, and the analysis being performed now by the models, leave them aside.
But overload is felt, when we have a lot of data to review, and analyze. And the problem is that it is always visible to all (be it has been correctly reviewed & analyzed or not).

I would like to add here:
The challenge is NOT technology.
It is:
Too much raw data
Poor integration
Weak interpretation
Human cognitive limits
Lack of prioritization
So the true problem is:
Digitization without intelligence creates overload instead of control.
And exactly that is what we have been facing.

Now what do you suggest how to control all this?
Limit the dashboards, automating decisions from the data coming from dashboard or that's gonna happen in far future?
Or we put a control on digitization as well to produce measured analysis supporting a decision.

I would like to add that even necessary digitization increases visibility faster than it increases understanding.
In other words, you may able to see more but that does not mean that you understand more as well.
Instead of creating a lot of digital pointers landing in our inbox or popping up on our homepages, I would rather suggest that teams must be taking the ownership that what sort of data they have been working with must be digitized, and presented in what way.
Digital teams digitizing the data without having right teams on board with every parameter they look forward to digitize would end up in a work less owned, and at the same time misrepresented.