Blog of the Week: Bridge to nowhere: Build or buy a Data Quality solution
Several months back, I wrote a blog about considering the implications of a cloud provider data quality (DQ) solution. This blog received great feedback, but it presumed that organizations were seeking to buy data quality solutions and not just build their own. Some readers asked, “what about just building my own solution? I have developers and a budget.” Some had even seen vendor DQ solutions and said, “well, I can build that myself.”
Reflecting on that feedback, I would like to share some of the implications of building your own DQ solution vs. a Commercial-off-the-Shelf (COTS) solution. I hope to explore both options in detail.
To refresh our last discussion, we focused on a couple of key themes. Those themes considered tech resource quality and organizational complexity. Underlying those themes, the blog quantified the fastest “DQ Time to market” as your strategy when making “buy” decisions. Our research proved that you should consider a DQ offering from a data intelligence company instead of a point DQ offering.
I believe the same concept could be applied to “build vs. buy” as well. As a leader, who cares for Data Quality and Observability, you want to prioritize DQ time-to-market when considering your technology. And how it will scale to ensure the least amount of risk associated with bad data.
1. Technical resource quality – Can you afford to build and maintain?
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