During a recent TDWI roundtable about data quality best practices, participants from a variety of industries discussed new and old challenges alike. Even as companies take steps to accommodate new types of data and new data consumption models—e.g., big data, cloud, Internet-of-Things (IoT), and the shift to self-service analytics discovery—they’re still grappling with the challenges of the past. From convincing executives, managers, and peers that, yes, data quality really does matter to getting IT to relax overly constrictive data access controls, the old problems are as pressing as ever.
It’s clear that usage and consumption paradigms are changing. Technologies are changing. The expectations of users are changing. What hasn’t changed, however, is the challenge of balancing the needs of data quality and governance over and against those of line-of-business people who are just trying to do their jobs.
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