Your Data Governance Product Selection Check List

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The 7 essential factors you should consider when selecting a new data governance product.


Whether you’re maturing your data governance program, looking to make your first investment in a data governance product or looking for something new, here’s a helpful checklist to make your search a bit easier.

  1. Time to Value. How quickly can the product be deployed? The quicker you can get it up and running and get to work, the better.
  2. Training Requirements. Does it require advanced technical training to use? How much time will it take to get your team up to speed and using the product? This is something to consider from both a timing and budget perspective.
  3. Flexibility. Does the platform support a flexible approach to data governance? Not everyone has everything figured out when it comes to data governance.  Will your chosen platform allow you to start where you need to or will it force you into a rigid approach.
  4. User Limitations. Can the product support different internal users, from IT to the business side of the house? Keep in mind that data governance projects involve several people and roles across your organization.  So, you'll want to verify that everyone involved can access your data governance product.
  5. One Dimensional. Is the product a one trick pony? Does it do just one thing really well or can it scale and deliver additional capabilities as your data governance program matures? If you have aspirations for maturing your data governance program and growing it beyond finite projects, such as establishing a data catalog, then you’ll need to seek out products that can support that growth.
  6. Ecosystem Friendly. Will it play well with your other current (or future) technology investments such as Data Quality tools? You’re existing and future technology investments are important so the product you choose should help maximize and extend those investments.
  7. Big Picture View. Does your choice enable you to see how your data is directly impacting business goals and objectives? To truly turn your data into a competitive advantage you’ll need to be able to see how your data assets contribute (good or bad) to your goals and objectives.  This will enable you to identify risk, measure outcomes and improve processes.

So, there you have it!  This list should provide some context and factors that you and your team should consider. Interested in seeing what we have to offer? Check out our very own data governance and stewardship platform, Information Value Management®.  Want to see how we stack up against the competition? Take a look at the new Bloor InComparison Report.

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