A question I get asked frequently is what is the duration of time and what are the complexities involved in implementing a data governance framework. Especially if it’s someone’s first time implementing it.
First things first, data governance isn’t just an agenda you can cross off once implemented.
Data governance is a long-term ongoing practice that constructs a healthier data environment in an organization to support its goals. Data governance extends beyond a single activity or project.
With that in mind, let’s address the question of duration.
Does Size Matter?
Undoubtedly, the size of an organization, the number of systems in place, and the complexity of the organization and its systems will impact the timeline for implementing data governance.
I always recommend a phased approach. This allows prioritization and the gradual application of data governance principles across your organization.
The Art of Rollout
Many people believe you can approach the implementation of data governance in one of two ways. They think you can introduce it all at once, like a seismic shift. Alternatively, you might decide to tackle it by business function, data domain, or a combination of both, depending on where the greatest need for data governance lies within your organization at the time. I’m a fan of the latter approach, having seen it succeed when the first approach was attempted!
What is the Time Commitment?
Designing your data governance initiative and beginning to realize any benefits can typically take between 12 and 18 months. Consider this a ballpark estimate, as your organization’s complexity and size could extend the timeframe. For large multi-facted organizations achieving comprehensive data governance, this could even span several years.
Reflections
Embarking on the data governance journey requires thorough planning and a measured, phased execution. The size and complexity of your organization will influence the timeframe. That said, don’t let this discourage you! data governance is an ongoing practice, and keeping the wheels in motion is critical in ensuring your organization’s approach to data remains adaptable and robust.
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