What’s the best place to start when evolving data governance?
The data19%
The people43%
The processes21%
The policies12%
I wish I knew5%
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I think this depends on your approach to policies in your organisation. For ourselves, where we are starting with our policy framework is actually focusing on defining clear strategic principles and ensuring these are aligned and have sponsorship top down. With this we can use these principles to drive the review of people and process capabilities against these agreed principles.
People interact with Processes. Processes are driven by System that creates Data. That data is then transformed , accessed and transmitted for further use by People & Processes .
With that said , Data Governance from my perspective is define & manage the Process well . Defining the process well , will lead to who can do what in that process , meaning managing the People expectation resulting in managing the right Data.
Start with what data is critical for achieving business goals. Learn about that data, where it is (catalog), who has it (people/systems), how can you get to it and use it (process). Then identify gaps for these aspects and build governance.
Start with people and process.. this should discover the current state of maturity and develop joint goal for future state of data governance..establish accountable people and consistent process…
My easy-way-out response would be that you do not necessarily need to start with any one of these. You can simultaneously act on some or all of them. Staying within the question though, the most foundational and far-reaching aspect is policies in my view. Data is ever-growing/evolving and reactive, hard to steer things with it. People and processes are also fluid with reactions that depend on the situation. Policies are the most slow-moving, but far-reaching aspect, giving a team time to make informed changes to policies that hopefully fan out to the data, people, and processes. (This is why policies tend to be set from the top down.) Of course, all of these are important and ultimately need to be delt with for effective data governance.