Episode 32 — Integrate information architecture into strategic planning to keep data governable (Task 20)
This episode focuses on integrating information architecture into strategic planning so data remains governable as systems change, new platforms arrive, and analytic demands increase. You’ll define information architecture as the enterprise approach to data definitions, lineage, classification, retention, access models, and quality expectations, then connect it directly to planning decisions like selecting platforms, designing integrations, and approving new data sources. We’ll cover how governance can require information architecture inputs early, such as mapping initiatives to authoritative data sources, defining ownership and stewardship, and validating that privacy and retention requirements can be met before funding or build decisions are locked in. Real-world scenarios include reporting that cannot be trusted due to inconsistent definitions, integrations that multiply sensitive data copies, and analytics programs that expand faster than data controls. On the CGEIT exam, you’ll be ready to choose answers that make data governable by design, using planning gates and evidence requirements, instead of relying on downstream cleanup after risk and complexity have already spread. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
