How do you ensure data architecture standards are aligned with data governance policies and principles?

2 Define the desired state

Once you have a clear picture of the current state of your data landscape, you need to define the desired state of your data architecture and data governance. You need to align your data architecture standards with your data governance policies and principles, and vice versa. You need to ensure that your data architecture standards support your data governance goals, such as data quality, data security, data compliance, data value, and data literacy. You also need to ensure that your data governance policies and principles enable your data architecture standards, such as data design, data development, data management, and data integration.

4 Implement the changes and monitor the outcomes

To ensure data architecture standards are aligned with data governance policies and principles, you need to implement the changes and monitor the outcomes. You need to communicate the changes to the relevant stakeholders, and provide them with the necessary training, tools, and support to adopt the new data architecture standards and data governance policies and principles. You also need to measure the impact of the changes on the data quality, data security, data compliance, and data value of the data assets. You need to use metrics, indicators, and feedback to track the progress and performance of the data architecture and data governance alignment.

5 Review and update regularly

To ensure data architecture standards are aligned with data governance policies and principles, you need to review and update them regularly. You need to keep up with the changing business needs, data requirements, data technologies, and data regulations in your organization. You need to solicit feedback from the stakeholders, and identify the gaps, issues, and opportunities for improvement in the data architecture and data governance alignment. You need to make adjustments and enhancements to the data architecture standards and data governance policies and principles as needed, and communicate the changes to the stakeholders.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?