Rather than a single data governance model used by every organization, there are several types of data governance models. What is a Data Governance Model?Ī data governance model is a framework that outlines processes and systems for data creation, data storage and maintenance, and data disposal. This raises the need for data governance. With such a vast amount of data, organizations need to manage their data in a more structured and secure way. In 2020, an estimated 1.7 MB of data is created for every person in the world, every second. IDC predicts that the total data around the world will continue to grow exponentially, reaching 175 ZB by 2025. This process encompasses the people, process, and technology that is required to ensure that data is fit for its intended purpose.”Īccording to a November 2018 report from IDC, the “global datasphere” – including all the data captured, created, or replicated around the world – reached 33 ZB (zettabytes) in 2018. Data governance enables businesses to exert control over the management of data assets. It also involves extracting value from company data to improve business performance.Īccording to Experian, “Data governance is a process to ensure data meets precise standards and business rules as it is entered into a system. Learn about data governance and data governance models, the key elements usually covered by policies, benefits, risks, and best practices.ĭata governance is the process of identifying an organization’s crucial data and ensuring data quality and data security.
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