Has anyone worked on a Data Governance Framework for Multiple Disciplinary Teams (MDT's) ?
If it's an enterprise practice then it must be multi-disciplinary, I would think. Given that, yes I have implemented such programs.
Yes. Most ENTERPRISE data gov. programs are multi-disciplinary. We have also worked on building DG models where a 3rd party is accountable for the data (in case of the outsourced environment).
What is your objective?
Did you get the answer you needed? There are some sample frameworks here. Donna Burbank and Nigel Turner have some excellent slides that talk about different models. I recommend perusing through all the slides; however, if you are short of time, slide 25 has 5 models of Data Governance and Stewardship which hint at how to integrate governance among different departments.
Robert S Seiner
I have developed a framework that can definitely be used for DG for MDT's but I am not certain how that is different from DG without MDT focus. Please specify.
Our Current MDT's are focussing on Digital Transformation. They can be a team focussing on an outcome that is tool agnostic or building a prototype of a CRM. We are trying to build a framework when and how to interject into these teams and what DG activities to consider.
Thanks Michelle.. that helped a bit on the DG initiative front.. but I am still broadly thinking about the MDT's.
Hi Rachel? You are welcome. What I think I am hearing you say is that you need a MDT framework that you can mobilize on demand for any digital transformation problem that emerges? Are you thinking a firehouse model Data Governance that can correct problems when there is a crisis and it is knowing which people to get mobilized on those fronts?
I am hearing others respond to the question asking for a little more specific clarification. I tend to think of Data Governance as a tool kit to do something. But such a tool kit can be hard to assemble without a strategy and goal. Digital Transformation can look different across companies depending on the goal. There is a CEMEX case study where all sorts of roles were considered (data stewards, scientists, security specialists). But in this case study, the overall objective, better customer experience shaped when and how to interject in those teams. A different objective (such as increased product innovation) would be very different.
That being said, it may not yet be clear what the objective would be. Another approach may be to try delivering a data governance program and an agile way, a sliver at a time. See https://www.dataversity.net/four-phases-agile-data-governance-implementation/.
Figuring out what your capabilities are in the MDT seems to be the first step in this process. That means assessing maturity. That will help clarify what you already have and get you closer to figuring out how and when to inject the teams. I hope that helps?