Скачать или смотреть Why the Perception of Data Quality Has Changed

Five years ago, keeping data quality in check was a small-team problem.

Bob spotted the issues. Nathan fixed them. They launched the dashboards that powered the business and managed idiosyncrasies within the data retroactively.

That world’s gone.

Data now flows through massive ecosystems of tools, powers AI, and drives decisions in every corner of the business. Everyone from operations to finance is both producing and consuming data every day.

The scale broke the old model.

You can’t depend on a few people to catch every issue. And you can’t rely on human eyes alone to protect every decision.

The path forward is augmented data quality: automation that surfaces problems instantly, combined with human judgment to prioritize what matters.

That’s how teams stay proactive instead of reactive.