The Costs of Poor-Quality Data

The video discusses the importance of data quality, highlighting a case where a GPS error led to a house being demolished. It explains the concept of 'fit for purpose' data and the consequences of poor data quality, such as financial losses and compliance issues. The video also covers data compliance standards like GDPR and HIPAA, and the challenges organizations face due to poor-quality data. It emphasizes the need for systematic data quality management and outlines the characteristics of high-quality data, including accuracy, relevancy, representation, and accessibility.

What systematic approach is suggested for managing data quality?

What are the four targeted categories of data quality attributes?

How can poor-quality data impact a company's performance?