Companies spend upwards of $15 million annually tackling data downtime, in other words, periods of time where data is missing, broken, or otherwise erroneous, and over 88 percent of U.S. businesses have lost money as a result of data quality issues.
Fortunately, there’s hope in the next frontier of data engineering: data observability. Here’s how the data engineering team at Blinkist, a book-summarizing subscription service, increases cost savings, collaboration, and productivity with data observability at scale.
With over 16 million users worldwide, Blinkist helps time-strapped readers fit learning into their lives through their ebook subscription service.

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Data Observability: How to Prevent Broken Data Pipelines at Scale
1.05 GEEK