In the ever-changing landscape of global data privacy regulations, the California Consumer Privacy Act (CCPA) and the California Privacy Rights Act (CPRA) have set many companies on a journey of comprehensive data mapping. Why is data mapping gaining such focus, what does it entail, and how is it performed effectively?
As noted by Legal News, the CCPA/CPRA mentions the word “right” over 100 times in its text. While a large emphasis is placed on consumers’ rights, references to the rights of businesses are relatively scarce. The word most associated with businesses in the context of these regulations is “responsibility.”
The juxtaposition of rights and responsibilities signifies the emergence of a new framework of data privacy where companies face greater obligations concerning data management. This increase in responsibility has brought data mapping to the forefront.
Data mapping, in this context, is the process of identifying, understanding and cataloguing the data processed by a company. It covers aspects such as what kind of personal information a company collects, where and how this data is stored, and who has access to it. Furthermore, it involves tracing the flow of data through its lifecycle including methods of transmission, processes of sharing, and the eventual disposition of the data.
For companies, data mapping serves two primary goals: ensuring compliance with privacy regulations and enhancing company-wide data governance. Anticipating and mitigating potential data breaches, improving response strategies, and delineating clear data governance roles within the organization are other potential benefits of a well-implemented data mapping strategy.
Effectively, achieving the above goals requires a structured and iterative approach to data mapping. The process begins by understanding the informational landscape of the company and defining the scope of the data mapping exercise. The next phase involves scoping the objectives and involving pertinent stakeholders from various departments such as Information Technology, Data Security, Legal, and Operations.
Throughout the data mapping process, there’s a need for continuous evaluation and adaptation to the evolving data privacy regulatory landscape. This is why the iterative approach to data mapping ensures compliance and upholds the company’s responsibility in safeguarding customer data.
Despite the considerable effort required in data mapping, it is not without rewards. As data becomes an increasingly valuable currency in the digital age, effective data management and compliance will differentiate esteemed businesses from those that lag.