Part 10/13:

• Checks and Controls: Establish validation rules—audit checks—that can halt processing if data anomalies are detected. Ensure operational teams are notified immediately for swift intervention.

He emphasizes that preventing defects at the source and during processing dramatically reduces downstream failures. The goal is to minimize the "80% of defects" that can be prevented through good design and testing, leaving only a small residual risk.

Culture and Process: The Path to Reliable Data

To achieve this, organizations must foster a culture where people, processes, and tools work harmoniously:

• People: Equip data engineers, QA teams, and operators with proper training in data testing, monitoring, and reliability practices.