How to write a data strategy?

Posted on 8-okt-2020 10:28:34

When you've decided to do something with your data, the first action you need to do is think everything through and work out a data strategy for the long term. In this blog post, we'll give you some easy tips to get started.

It all comes down to five main questions

To write out a good data strategy you should sit together with your leadership and stakeholders and ask yourselves these five main questions:

Question 1: What are your business objectives today and in the coming years?

Question 2: What data do you need to achieve these objectives?

Question 3: How do you want to use your data to achieve these objectives and by whom?

Question 4: Will the data and workflow truly empower your teams to accomplish the given objectives?

Question 5: Are these data and workflow already available within your company, and which new resources will be needed?


So what's next now?

Once you have come to a data strategy that is supported by your leadership and stakeholders, you'll have to start mapping your current and preferred data and processes and define an implementation plan to close the gap between both. We'll tell more about this in the next blog post.

Need help with defining your data strategy? Have a look at our data strategy workshop, TENGU.101.

Topics: Big Data, DataOps, Data Enablement, Data Management, Data Governance, Digital tranformation

Daphné De Troch

Written by Daphné De Troch

CMO & Co-founder at | Founder of the DataOps Ghent (DOG) community | Reach out to discuss open sources, DataOps and marketing related topics.

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