A Framework to Understand How Low-Quality Data Hurts Business Performance

How should we reason about the importance and impact of data quality to the businesses we support as data practitioners?

The specific cost of data quality problems varies from business to business and vertical to vertical. But, on average, low-quality data costs organizations around $13 million a year (Gartner, 2021).

That’s a number that should make data leaders (and the C-suite leaders they support) sit up and take notice.

While the negative impacts …

analytics business data data engineering data-observability data science framework notes-from-industry performance quality quality data