Data mesh, data quality, and data observability – a virtuous circle

Data mesh, data quality, and data observability are three very important components that can help you build a robust and effective data strategy in your organization since each component plays a specific role in ensuring that data is accurate, consistent, and available. All of these components can ensure that your organization can make informed decisions and base your decisions on data that is not only available but also as accurate as possible.

By working together, these three components – data linkage, data quality, and data observability – can create a virtuous cycle that builds confidence in the data and the strength of your data infrastructure and architecture, leading to better outcomes for your data teams and, of course, all stakeholders who rely on your data teams and outcomes.

To understand how and why these components can and must work together, it’s important to know what...