A data strategy defines how an organization will use its data assets to support business objectives. This involves assessing the organization’s current data landscape, defining a vision for the future of data, and creating a roadmap for how to get there.
Maturity level, architecture, budgets are already some topics that should definitely be discussed. What was the initial budget? Does our data strategy fit within this budget? Should we adjust the budget or adjust the data strategy? Organizing workshops which can have both a functional and technical background helps to make this concrete. Together we arrive at a roadmap where everyone feels comfortable.
Why is Data Strategy useful?
The key components of a data strategy
Identifying data, and recognizing its meaning and usefulness, is an indispensable requirement of a good data strategy. After all, using and processing data is not possible if it does not have a name, is not in a specific format and has not been assigned a value. An organization must describe (meta)data so that it is recognized.
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