From Data Management to Data Governance
Data is the lifeblood of the digital economy; it fuels algorithms and artificial intelligence (AI), drives international trade in services, informs logistics, and brings markets, communications, and politics to life. In other words, data has become a global strategic asset.
Humanity, through the use of technology and various computing systems, collects, processes, shares, and utilizes astonishing volumes of digital data (personal and non-personal, public and private) that not only generate economic benefits but also have individual and social impacts when used responsibly.
Accessing, processing, using, and reusing data are essential to address various challenges. More and more companies and businesses use data as input in their production processes because it lies at the heart of innovation in all sectors. It is in this context that the concept of Data Governance emerges - a set of principles, practices, and processes that an organization establishes to manage, protect, and optimize its information.
Historically, it has been associated with corporate governance or private organizations. However, as the amount of data rapidly increases, the notion of governance now includes government and institutional bodies as well.
Why is implementing data governance essential?
The risks and threats to information security are continuously evolving. By effectively implementing data governance, companies can access several advantages, such as strengthening the protection of confidential data and reducing the risk of security breaches, unauthorized access, losses, or leaks.
Many companies already have some form of governance for applications, business units, or individual functions, even if the processes and responsibilities are informal. However, several general benefits of systematic data governance can only be obtained after the company has established a proper data governance framework.
Some of these benefits include: