Key takeaways

  • A data strategy defines what data you need, who owns it and how it stays trustworthy
  • Name data owners and stewards for each domain
  • Begin with the ten most disputed definitions and the most error-prone dataset

Governance roles

RoleResponsibility
Data ownerSenior person accountable for a data domain, such as student records or admissions
Data stewardDay-to-day quality, definitions and access decisions for a domain
System ownerOperation and configuration of the systems holding the data
Data protection leadCompliance with privacy law and internal policy

Strategy components

Data inventory

What data you hold, where, and why.

Authoritative sources

Which system is the source of truth for each data type.

Shared definitions

A data dictionary used by every report.

Quality processes

Validation at entry, regular checks and a route to fix issues.

Access policy

Role-based access and approval for exceptions.

Retention & deletion

How long data is kept and how it is disposed of.

Getting started

  1. Name owners

    Assign owners and stewards for the main data domains.

  2. Agree ten definitions

    Start with the terms most often disputed in reports.

  3. Fix the worst source

    Pick the most error-prone dataset and clean it with a lasting process.

  4. Document integrations

    Record how data moves between systems.

Frequently asked questions

Who should own student data?

A senior data owner per domain, supported by a data steward for daily quality and definitions.

What is the first step in a data strategy?

Name owners for the main data domains and agree definitions for the terms most often disputed in reports.