When your organization decides to start leveraging its data as an asset, the first thing you should do is build a data quality team. This team of people will be responsible for the quality of the data and the support of data quality activities and initiatives company-wide.
A lot of people traditionally think of data quality as a technical person’s concern. In reality, business users have a major part to play on the data quality team. We have seen many organizations start to understand the need for centralized data ownership with the rise of the Chief Data Officer (CDO). One of the first things that should be on a new CDOs agenda is building out a team of individuals that can help elevate data management and data quality on the corporate agenda.
A typical data quality team includes the following roles:
As a whole, these roles are responsible for supporting your organization’s data quality initiatives and activities.
There is no one-size-fits-all approach to building a data quality team, so explore what will work best for your organization’s culture and needs. Building a strong team that is integrated into the business is the first step in rolling out a broader data governance strategy, which includes people, processes, and technologies that will help your organization proactively manage its data quality.
To learn more about how Experian Data Quality can help with your data governance initiatives, check out Experian Pandora. For more information about building a data quality team, download our white paper, Squaring the circle: Using data governance framework to support data quality.
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