Data Management Group (DMG) works regularly with clients who are interested in establishing a Data Governance program, but may not know exactly what that entails.  Data Governance is a powerful approach to aligning interests in, and furthering improvements in Data Quality and Accountability.

It’s worth mentioning that Data Governance is the foundation of Data Management, and it plays a critical role in ensuring that data is managed in a way that supports the goals and objectives of an organization. As businesses continue to rely on data to make decisions, Data Governance has become a vital component of the modern business landscape.

What is Data Governance?

Data Governance refers to the overall management of the availability, usability, integrity, and security of the data used in an organization. It includes the processes, policies, standards, and technologies that are used to ensure that data is managed effectively across the enterprise. The importance of Data Governance in today’s business landscape cannot be overstated, as it provides a framework for organizations to manage data effectively, efficiently, and in a compliant manner.

The Benefits of Data Governance

One of the primary benefits of Data Governance is that it helps organizations make better decisions. By ensuring that data is accurate, reliable, and timely, Data Governance enables organizations to make informed decisions based on reliable information. This is particularly important in today’s fast-paced business environment, where decisions need to be made quickly and based on the most up-to-date information available.

Another key benefit of Data Governance is that it helps organizations manage risk. As data becomes more valuable and more vulnerable to cyber-attacks, Data Governance provides a framework for managing data security and privacy risks. By establishing clear policies and procedures for managing data, organizations can reduce the risk of data breaches and ensure that data is used in a compliant manner.

In addition to managing risk, Data Governance can also help organizations comply with regulatory requirements. Many industries, like financial services and healthcare, are subject to strict regulations that govern how data should be managed, stored, and used. Looking beyond specific industries, consumer protection laws like GDPR and the California Consumer Privacy Act (CCPA) also have vast ramifications for businesses of all shapes and sizes. Data Governance provides a framework for ensuring that organizations comply with these regulations, reducing the risk of fines and other penalties.

Data Governance is also essential for managing data quality. Poor data quality can lead to costly errors, lost revenue, and damaged reputation. Industry estimates show that more than $3 trillion dollars was lost annually due to bad data all the way back in 2016. With the amount of data in the world estimated to be doubling every two years, the annual dollar amount lost due to bad data is undoubtedly even more staggering today.

Data Governance ensures that data is accurate, complete, and consistent, improving the overall quality of the data used in an organization. This, in turn, can lead to improved decision-making and better business outcomes.

5 Keys to Establishing a Successful Data Governance Program

Data Governance can be complex and difficult to implement. However, with the right approach, organizations can overcome these complexities and reap the benefits of an effective Data Governance program. Here are some key steps to establishing a successful Data Governance program:

1. Define Data Governance goals and objectives. Without clear goals and objectives, Data Governance programs will flounder. Goals and objectives will help ensure that the program is aligned with the needs of the organization — data quality, data security, data integrity, data access — and that the right resources are allocated to achieve these goals.
2. Define Data Governance roles and responsibilities. Data Governance requires a team effort, and it’s important to define clear roles and responsibilities for everyone involved. These include defining the roles of the Data Governance team, data stewards, and other stakeholders.
3. Develop Data policies and procedures. Once roles and responsibilities are defined, it’s essential to develop clear policies and procedures for managing data. This includes defining data standards, data quality requirements, and data security and privacy policies.
4. Establish Data Quality and Governance metrics and measurement. Data Governance requires ongoing monitoring and measurement to ensure that it’s effective. Establishing clear metrics and measurement criteria will help ensure that the program is achieving its goals and identify areas for improvement.
5. Engage Data Governance stakeholders. Effective Data Governance requires the engagement of all stakeholders. This includes executive sponsors, business users, and IT staff. Engaging stakeholders early in the process will help ensure that the program is aligned with the needs of the organization and that everyone is invested in its success.

Data Governance at Data Management Group

Data Management Group works every day with companies that need a framework for managing their data, as a strategic approach to Data Governance is essential in today’s business landscape. We provide companies with a framework for managing their data effectively, efficiently, and in a compliant manner. This leads to improved decision-making, reduced risk, and improved data quality. While Data Governance can be challenging to implement, organizations that are successful at creating Data Governance programs stand to improve data quality and business planning, increase security, and mitigate risk.