Data Strategy pillar · Training modules

Data Strategy Fundamentals Training

Data is one of those words that gets thrown around constantly but rarely explained well. What does it actually mean to treat data as a strategic asset? How do you govern something that exists in dozens of systems and changes constantly? Let’s figure it out together.

This training takes you from “I’ve heard the term data governance” to actually understanding how organisations manage, protect, and extract value from their data. About 3 hours of content, but take your time—there’s a lot to absorb.

Training Modules

This training is organised into six self-paced modules. Complete them in order for the best learning experience, or jump to specific topics as needed.

Module 1

Data as a strategic asset

Why data matters and the data lifecycle. Understanding data as an organisational asset.

 Module 2

Data governance basics

Governance models, roles and responsibilities. Building your data governance framework.

 Module 3

Data quality

Quality dimensions and measuring quality. Accuracy, completeness, consistency, timeliness.

 Module 4

Privacy fundamentals

Privacy principles and key regulations. GDPR, CCPA, and privacy by design.

 Module 5

Data architecture

Data lakes, warehouses, and modern data platforms. Designing for scale and governance.

 Module 6

Data sharing and APIs

Internal and external data sharing. API design, data contracts, and partnerships.
Reference

📖 Data strategy terminology glossary

Key terms you’ll encounter in data strategy discussions. Bookmark this for quick reference.

Continue exploring data strategy resources

Build on these fundamentals with additional data strategy coverage from our research desk.

Data strategy tips

Practitioner checklist for governance.

Data strategy guides

Implementation playbooks for privacy.

Data strategy briefings

Daily research on data governance.

Data strategy pillar

Full coverage of data governance.