Implementing a data governance framework requires an understanding of how each team’s individual processes and technology infrastructure contribute to key business objectives. To achieve this, use a data maturity model as a benchmark and guide for improvement.
Once policies and standards have been established, it’s time to implement them. To enforce the data governance structure, processes and controls must be implemented.
Develop a Strategic Plan
You must develop a strategic plan to implement a data governance framework successfully. This will include determining technology requirements, policies, and processes that support your business objectives.
For example, your plan may detail integrating new data sources while ensuring the data meets specific standards. This helps ensure critical business decisions are based on accurate and reliable information.
It would be best if you also determined how to distribute sensitive data. This will help ensure that your team members can access the data they need and prevent them from sharing data with others without proper authorization.
Establish a Steering Committee
When implementing a data governance framework, it is essential to have the support of your organization’s key leaders. A steering committee, comprising senior management and often C-level individuals or vice presidents accountable for lines of business, will help oversee the overall program and ensure all stakeholders are on board.
The steering committee should also establish a working group with managers who have subject matter expertise in both business and IT issues.
Create a Data Management Plan
Establishing a practical data governance framework requires a detailed plan for managing and sharing data. This includes creating policies and standards for data quality, security, and access.
Democratizing data can improve business analytics and revenue and may help with regulatory compliance. However, this can also increase risk, so it is essential to carefully weigh your options before taking this step.
Banks, insurance companies, and other highly regulated organizations use a top-down approach to develop their data governance frameworks, prioritizing control over data models and governance before making it more readily available for analytics. This can provide more rigorous controls and compliance with regulations.
Identify Data Stewards
Data is quickly overtaking physical assets in terms of value to organizations. With that in mind, we must keep our data secure, private, and high quality.
Data stewards are the people who take care of these duties. Some are assigned the role with a formal title, while others assume it as part of their regular job duties.
They define data elements, identify new data assets and promote best practices for their specific data domain. They also monitor compliance with governance policies and address issues when they arise.
Create a Data Security Plan
Data security is an essential component of any governance framework. This includes defining security rules and ensuring all information is protected from cyber attacks, unauthorized access, and data breaches.
A good strategy is to provide least-privilege access so that only those with a legitimate business need have database, network, and administrative account access. Also, it is crucial to regularly create and maintain usable backup copies of all critical data sets.
Creating a governance framework requires careful planning and execution.
Create a Data Access Plan
Data governance is crucial for your company because it enables you to make more informed decisions using reliable, consistent data. It also enables your teams to access accurate, up-to-date information when needed.
Depending on your organization’s size, you may prefer a centralized approach that requires a higher level of data governance or a more democratized approach that empowers users to access the data they need for self-serve analytics and faster decision-making. Either way, creating a comprehensive and flexible data access plan that can adapt to your organizational needs over time is essential.
Create a Data Sharing Plan
Establishing data governance policies that prevent employees from using unauthorized data can help organizations minimize risk and maintain compliance. Governed data can also increase efficiency, improve employee morale and help companies capitalize on cross-selling opportunities.
Emphasize that effective data governance programs can provide a competitive advantage, particularly in customer satisfaction and revenue generation. Quantify these benefits to help management feel confident about the program’s success.
Create a Data Audit Plan
A well-executed data governance framework provides several benefits to the entire organization. These include increased efficiencies, reduced costs, more accurate reporting, and vital collaboration.
It can also help identify new processes that create uncaptured data or incorrectly stored information and provide a platform for consistent procedures. Businesses can build a practical framework that supports their business goals by establishing clear policies, assigning data stewards, and creating a centralized process to distribute sensitive information. In this way, they can achieve measurable outcomes for their data strategies and business goals.
Create a Data Storage Plan
Frameworks for data governance offer a standardized method for using and controlling data inside an organization. They help with data integration, data quality, and access control measures.
For this reason, choosing a solution offering data governance capabilities is essential. Look for solutions that offer collaborative business glossaries, intelligent metadata, and data lineage. This can help ensure that your data is accurate and meets regulatory requirements. It can also improve productivity and customer satisfaction. It is important to remember that implementing a data governance framework requires time and effort.
Create a Data Usage Plan
A data governance framework is an essential part of any business. It helps your organization be more efficient, productive, and effective.
With proper data governance practices, keeping track of all the data your company collects can be more accessible. This can lead to bad data quality, which can cause serious business issues.
To avoid this, you must create a data usage plan that clearly defines how and where to distribute different types of information. This will help ensure that sensitive information is not shared without authorization and that employees use data correctly.