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Building an effective data governance framework

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Establish order and control through data governance

As a public sector agency, you know that effective governance requires the right processes and policies. It’s no different when it comes to your data. In theory, data governance can sound easy. In practice, however, it can be difficult to achieve a data governance program that works in the long term. Building an effective data governance framework involves establishing the right policies and processes, having the right tools in place, and gaining ongoing support from business users across your organization. Data governance is crucial to achieving and maintaining high-quality data, so investing in the right people, processes, and technology to establish how your agency will effectively manage its data will give you confidence in your decision-making capabilities. 

People

Achieving consensus and participation from individuals across your organization can be one of the most challenging parts of implementing a data governance program.  Clearly defining the roles and responsibilities of staff around the organization, can help provide clarity. 

Process

Building a data governance framework involves defining how data will be controlled, audited, and monitored. Developing and documenting the process for each area that applies to your organization is key to achieving success. 

Tools

As your agency determines which tools can help you to build a data governance program, remember that data management and data quality capabilities are also important to achieving the control and confidence you seek to have in your data. 

“[Experian Data Quality] is a critical tool in improving the accuracy of your database… entering new transactions with accurate data saves time and money in the long run.”

Ginny Lewis - Director, Nevada Department of Motor Vehicles

Achieve your data governance goals

The right data governance strategy can help you get ahead of the game.

Learn some of the top tips for implementing a data governance framework in our white paper.

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of U.S. organizations say they face data governance challenges  

of U.S. organizations say that having consistency across their organization is the biggest challenge to implementing a data governance program

of U.S. organizations believe their data governance program is not effective today

Address verification

Meet regulations and compliance standards while reducing returned mail. By validating your database, your origination will also save time and increase efficiency. 

Email verification

Reduce bounce rates, improve sender reputation, increase deliverability, and improve overall email performance by implementing an email verification process within your organization. 

 

As you build your framework, anticipate what challenges may arise and plan accordingly.

Data quality management strategies are important across all agencies, including tax and revenue departments, health and human service departments, department of motor vehicle, department of labor, elections, parks and recreations departments, and sheriff and court administrations. By investing in managing data quality, government agencies are able to:

Improve operational efficiencies

Focus on service deliverability

Better allocate and collect tax funds