Flexible approaches to data management such as a business data fabric still require well-managed data as a foundation. A semantic layer of active metadata and visual representations of data assets such as knowledge graphs are only as good as the quality of the underlying data. Similarly, generative AI that is trained on corporate data is reliant on the underlying quality of that data, just as a house relies on sound foundations. As such, corporations are exploring ways to maturing their data management practices. However, every organization is different, and obviously there’s no one perfect way to invest in data management. Even so, it’s useful to have insights into the best practices being leveraged by your peers to calibrate what your current (and future) investments in these areas look like.
When it comes to broader data management initiatives, those business deploying best-in-class (BIC) data management practices see higher organization performance as compared to the average.
What to see where you stand? Here is a quick, six-question online Aberdeen assessment you can leverage to gain high-level insights into how your organization’s broader data management strategies compare to those of your peers. Upon completion, you will receive a report tailored to your organization and how it compares to others in Aberdeen’s research.
We hope the report is informative and provides you with some insight into the building blocks that make up a strong data management strategy.
Finally, here are some additional resources that can assist you on your data management journey:
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