Typically what dimensions do big data maturity models examine and why?
In the word cloud above you can see a selection of dimensions from commonly deployed maturity models. The models themselves are not of interest at the moment, just look at the large words, IE the most frequently used terms. In essence, these terms drive the maturity modelling process, so they are key to a suitable model.
There should be nothing surprising in any of these terms, and indeed most practitioners agree much more than they disagree about what needs to be included in a big data maturity model. The subtle differences reflect industries and the experience of the individuals who created the models. The problem is trying to pick a suitable model for a given situation.
Using the wrong tool is rarely a path to success and doubly so when it concerns measurement systems. Below is a quote from the man who brought us critical chain that revolutionary project management systems.
“Tell me how you measure me and I will tell you how I will behave. If you measure me in an illogical way… do not complain about illogical behavior…”
The first sentence is commonly quoted, but the second one also deserves some attention. We often blame illogical behaviours on character flaws in managers. Perhaps we need to reflect a little bit more on the tools we use to evaluate them.
Thanks to our colleagues at Fabularum for authoring this piece