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Data is rapidly expanding, and organizations that use manual methods to keep track of their data struggle to keep up. This is where data mapping comes into play.
A data map is an accurate and up-to-date representation of an entity's data landscape and the information flowing through it. Data maps accurately identify critical elements within the data landscape, including the unique data types that are processed, their locations, formats, and the processing activities performed on that data.
With massive data, it becomes virtually impossible to fulfill privacy regulations through manual methods. The need for automation is increasing, and organizations must work fast at adopting it if they aim to comply with privacy regulations in the future.
Data is an integral part of every organization. They use data from their internal and external sources to derive business value. To do so, this data must be structured in a way that is easy to process and analyze. This can be achieved through data mapping, which is essential data management. Data mapping can help with the following:
Even though data mapping is not a statutory requirement, it is the best way to organize your stored data and make it easy to present to consumers upon request, since data mapping ensures organizations know exactly where their customers' data is stored, what type of data is stored in the various data stores, how it is processed, the purposes of the processing of the personal information, and to which entities it is transferred. Data mapping can help organizations gather all of this information and maintain an accurate and complete record of personal information.
Since the dawn of data itself, organizations are trying ways to improve their efficiency and streamline tasks. There are three broad categories in which data mapping can be divided into. These include on-premises, cloud, and open-source.
Under privacy regulations, it is almost essential for organizations to incorporate data mapping into their data management operations. Even though there is no statutory requirement under any regulation such as the GDPR or CCPA to integrate data mapping, it is advised by experts to automate data mapping practices.
Data Mapping is paramount for privacy compliance and data governance. Spreadsheets maintained by subject matter experts can be considered a starting point, but offer limited options for privacy teams to scale and adapt to evolving data and regulatory requirements. Data mapping can help your organization by:
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SECURITI.ai works towards automating business processes such as data mapping and DSR fulfillment to give organizations an edge when complying with global privacy regulations. SECURITI.ai's Data Mapping Automation solution enables organizations to seamlessly migrate from their traditional data mapping approach to a fully automated approach, providing value at each step along the way.
Watch a Demo on how this solution can benefit you on your road towards compliance.