How to write a data classification policy, with template

<p>Organizations churn out vast amounts of data every day. Those without defined data classification processes risk not knowing where their data resides or if it’s properly protected.</p>
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<p>Let’s examine how to create a data classification policy that ensures data is described, located, secured and complies with domestic and global data protection standards and regulations. Then, use our free template to create a policy for your company.</p>
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<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>What is data classification?</h2>
<p>Data classification involves categorizing information by its sensitivity, importance and other criteria. It helps make data easier to retrieve, sort and store, and ensures the proper security protections are in place.</p>
<p>Data classification is an important part of <a href=”https://www.techtarget.com/searchstorage/definition/data-life-cycle-management”>data lifecycle management</a>, providing the framework for categorizing or grouping data objects. It takes time to develop a comprehensive data classification program. Once established, however, the process helps organizations comply with their own data handling guidelines as well as local, state and federal compliance regulations, such as HIPAA and GDPR.</p>
<p>A data classification policy gives companies a roadmap that illustrates how to sort data of all types — <a href=”https://www.techtarget.com/whatis/feature/Structured-vs-unstructured-data-The-key-differences”>structured and unstructured</a>. Structured data — information that’s organized and searchable — is typically indexed using data classification metrics. Unstructured data — information such as videos, images and emails — is not as easily organized.</p>
<p>Data classification makes data more usable and easier to search or query. It also identifies duplicate copies of data, which helps improve data storage and data security measures.</p>
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