Even exempt organizations need to be data mapping: Here's why


Contributors:
Maria Cannon
AIGP
Associate
Ambart Law PLLC
Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains.
Data mapping is required for some organizations, but not all. As a result, some companies not subject to legal requirements may wonder: Does it make sense to invest time, energy and resources into data mapping, when all of that could be funneled into tasks that seem more pressing?
Or, perhaps, tasks that result in a more public-facing payoff, such as launching a new or improved product — something investors may find more interesting — are more worthwhile?
But data mapping is a smart choice for any organization looking to maximize efficiency, reduce overhead costs, and ensure compliance.
It is also a reliable method for creating and maintaining trust with consumers and investors who benefit from getting a visual picture of the data lifecycle of a particular organization.
What is data mapping?
Data mapping is the process of visualizing the lifecycle of data across an organization. It includes granular accounting of individual sources and suppliers of data, usage and use limitations, access and controls, and an accounting of all inter- and intraorganizational sharing and transfers.
For interorganizational sharing and transfers, thorough data mapping documents all storage and filing mechanisms, details on company-wide, localized large language models used for business purposes, and apps — including those used on personal devices for work products.
Intracompany data sharing and transfers must be documented, including disclosures of all service providers, data processors, and any other third-parties, especially those responsible for third-party sharing of data across geographic borders.
When is data mapping required?
Contributors:
Maria Cannon
AIGP
Associate
Ambart Law PLLC