A question I get asked frequently is about the duration of time and the complexities involved in implementing Data Governance - especially if it’s someone’s first time implementing Data Governance.
First things first - Data Governance is not just an agenda that can be crossed off once implemented.
Data Governance is a long-term ongoing practice that constructs a healthier data environment in an organisation to support its goals. Data Governance extends beyond a single activity or project.
With that in mind, let's address the question of duration.
Undoubtedly, the size of an organisation, the number of systems in place, and the complexity of the organisation and its systems will impact the timeline for implementing Data Governance.
I always recommend a phased approach, this allows prioritisation and the gradual application of Data Governance principles across your organisation.
Many people think that the implementation of Data Governance can be approached in one of two ways. That it can be introduced all at once - like a seismic shift. Or , 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 organisation at the time. I’m a fan of the latter approach - having next seen it be successful when the first approach is attempted!
Designing your Data Governance initiative and beginning to realise any benefits can typically take between a year to 18 months. However, this should be considered a ballpark estimate - as your organisation's complexity and size are variables that could extend this timeframe. For large multifacted organisations achieving comprehensive Data Governance could span several years.
Embarking on the Data Governance journey requires thorough planning and a measured, phased execution. The size and complexity of your organisation will influence the timeframe. That being said, don't let this discourage you! Data Governance is an ongoing practice, and keeping the wheels in motion is critical in ensuring your organisation's approach to data remains adaptable and robust.