Best Practices for Data Governance According to

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Best Practices for Data Governance According to

Best Practices for Data Governance According to

Every organization is different, which means each one needs to adapt its data governance practices to its own business processes. That said, there’s no need to reinvent the wheel, and there are some data governance best practices that apply to just about every organization. Read on to find out about a few of the most important of them.

Start Small but Think Big

The process of data governance requires not just a defined set of processes but also the technology to carry them out and the people to manage them. Without the right people filling relevant positions and the technological solutions in place to facilitate fulfilling them, there’s no way to build successful data governance processes. Start small by hiring experienced people who can help to build processes and find partners like Privacera that can provide technological solutions, but always keep in mind how both of these elements fit into the bigger picture.

Set and Measure Progress Towards Goals

While it’s important to set achievable goals, according to, it’s just as essential to be able to measure progress toward them. Take measures of the baseline before starting to make any changes to an organization’s data governance policies and choose metrics that can accurately measure the results of those changes. Metrics should both show overall change over time and serve as helpful checkpoints to help determine whether the current data governance processes are effective.

Communicate Constantly

Clear, consistent communication between different members of an organization and their relevant business partners is essential to developing more effective data governance processes. Start the process by getting higher-ups on board, and don’t forget to inform the relevant parties of What devops needs to know about data governance, but don’t stop there. Create a list of stakeholders within the organization and update it as needed to ensure that all of the right people are being informed of progress and policy changes.

Identify Roles and Responsibilities

The reason it’s so important to define stakeholders is because effective data governance requires buy-in and ongoing collaboration between all departments. For that reason, it’s essential to create clearly defined roles and assign levels of ownership across the organization. Data governance roles vary between organizations, but those responsible for developing a plan can check out here the most common of them. They include:

  • A data governance council

  • A data governance board

  • Data managers

  • Data owners

  • Data stewards

  • Data users

Remember, data governance isn’t just about technology or processes. It’s also about how the people in an organization use them. Successful data governance policies create a clear understanding for all stakeholders of where data is coming from and who is responsible for it.

Use the Right Tools

Developing and implementing effective data governance processes takes a lot of work. The good news is that there are plenty of tools available to help. From basic reporting tools to fully integrated data governance platforms that can aggregate and analyze data from multiple sources, there’s something for every enterprise. Take advantage of the available tools and services.

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