Data governance framework

Develop solid data governance and put it into play

Data governance brings meaning to your organisation’s data and information. When it works, your staff will know more about your data's value and potential. It builds trust to use it wisely to meet your organisation’s goals.

Outcome

A data governance framework should say who makes what kinds of decisions about the data your organisation is trusted with, and in what situations.

  • learn the value of the data and information you hold, and any barriers to accessing it or protecting it.

  • understand how cybersecurity can support your data governance, preventing data from being exposed or misused.

  • match the roles, tasks and abilities in your organisation to a data governance structure.

  • support good policies, processes, and protection for data assets.

Service description

Any governance framework should say who makes what kinds of decisions, in what situations.

Your data governance framework should show how any decisions embed rules around how to classify, curate, categorise, access, create, story, share, use and delete data. It must also include a focus on cybersecurity.

Your decision-makers will often include these 3 roles who use policies and processes in the data governance framework to make decisions. They’re also accountable for certain things.

Data owners decide:

  • how to get value from the data

  • what ‘appropriate access to data’ means

  • data classification

  • any big changes to data contents

  • risks and protections to think about.

Data stewards decide:

  • the meaning of data

  • how to use data for goals, contexts and curation.

Data custodians decide on managing the data, including its schema, lineage and quality.

We can help you build a framework that’s made with you, so it works for you.

Our approach

Data Wisely works with your stakeholders to design a new or better data governance framework that:

●      aids collaboration across people and teams

●      keeps people using the same language around data in the organisation

●      creates policies and processes in line with your goals and duties

●      aligns roles and tasks of a data governance framework with your structure.

Engagement

We’ll design a future-state framework in partnership with people in your organisation who are involved in key governance roles. For it to really work, the people who will put the framework in play must also own its design. We do this in an interactive, collaborative workshop.

This is what a typical partnership might look like when you engage us for data governance.

Initial briefing meeting (one hour):

  • Meet with the CTO, CDO/CIO, CEO, or other person leading the data governance project.

  • Get to know each other and go over the project goals and plan.

Two weeks of collaboration:

  • Get into your data governance environment and documents.

  • Learn how data your organisation collects, uses, shares and stores data at high level.

  • Identify gaps and opportunities in knowledge, understanding and compliance around data governance.

  • Walk through your organisation’s duties with regulation, laws and other policies.

Four weeks of workshops:

  • Train on data governance best practice, and what decision-makers do in a framework.

  • Hold 3 to 5 workshops to design the data governance framework and high-level plan to get to where you want to be.

  • Note and report our journey towards better data governance structures and play this back to your wider stakeholders.

Cost

The cost of a data governance framework usually falls between $20,000 and $50,000 (ex GST).

This varies depending on the framework’s scale and complexity and testing needs.

Let’s chat about the best approach that fits in your budget and gives you and your team the most value.