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Offensive vs Defensive Data Strategy: Do You Really Need to Choose?

When talking about offensive and defensive strategies, it is often said that you cannot have it both ways. One is focused on catering to the product or business side of the organization, prioritizing and use cases to drive superior commercial or financial outcomes, and the other prioritizes preventing negative outcomes by reducing legal, accounting, and/or regulatory risk by focusing on , , and capabilities.

You’d have to choose how to prioritize and balance defense and offense as they would require differing approaches and investments. Although you cannot be fully offensive and fully defensive at the same time, you can enable offensive and defensive objectives through a number of foundational capabilities and an use of that enables domain-driven through a .

Data Products emphasize formal, fit-for-purpose controls so that a multitude of downstream consumers can use them for their respective use cases. It is specifically the defensive-oriented components of Data Products such as an accurate and transparent description of the data, its provenance, and quality considerations, that enable offensive-minded consumers to find, trust, and indeed use it. then enables domain-based teams to govern the data that they know the best, while facilitating access to the rest of the enterprise through a set of interoperability standards.

It’s quite literally defense enabling offense. What do you think?

Source: https://lnkd.in/esiQ6jTk

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