Part 7/11:

The Roadmap to Data Maturity

Organizations are on a maturity spectrum that ranges from reactive firefighting to predictive, self-healing, and fully automated quality systems:

• Level 1: Reactive firefighting with ad hoc fixes.

• Level 2: Managed quality with basic rules and dashboards.

• Level 3: Automated detection with clear ownership.

• Level 4: Proactive architectures embedded with data quality principles.

• Level 5: Transformative, predictive systems capable of self-healing and anomaly forecasting.

Progression through these stages requires a disciplined focus on architecture, culture, and technology.

Principles for a Robust Data Quality Architecture

The presenter suggests several foundational principles: