{"id":3267,"date":"2021-07-08T18:28:51","date_gmt":"2021-07-09T01:28:51","guid":{"rendered":"https:\/\/www.lightsondata.com\/course\/data-classification\/"},"modified":"2021-07-08T18:28:51","modified_gmt":"2021-07-09T01:28:51","slug":"data-classification","status":"publish","type":"tva_lesson","link":"https:\/\/www.lightsondata.com\/course\/data-classification\/","title":{"rendered":"Data Classification"},"content":{"rendered":"

What Is It?<\/h2>\n

\"\"<\/span><\/p>\n

Data classification<\/p>\n

Data classification is the process of organizing structured and unstructured data into mutually exclusive categories based on type, contents, and other metadata. <\/p>\n

Most often data gets classified based on its sensitivity level. Then based on different characteristics such as the type of the data and its contents we classify the data into different levels (also called classes, groups, or buckets).<\/p>\n

Example of Different Data Classification Levels<\/h2>\n

Low risk<\/h3>\n

Public data that doesn\u2019t require any access restrictions.<\/p>\n

Examples: information that you find on public webpages, job postings, and business contact information<\/p>\n

Medium risk<\/h3>\n

Data intended for internal use only, but the impact of a data breach is not catastrophic.<\/p>\n

Examples: non-identifiable employee data or a strategy document, or a financial statement<\/p>\n

High risk<\/h3>\n

Data requires stringent access controls and protections both because it\u2019s is often protected by regulations.<\/p>\n

Examples: Personable identifiable information, credit card numbers, personal health records<\/p>\n

4 Main Uses for Data Classification<\/h3>\n

1. Risk mitigation <\/strong><\/p>\n

If we know which data is high risk vs medium or low, we adopt “the least privilege principle” and ensure that only authorized employees have access to it. This way we could limit access to personally identifiable information and intellectual property. We can also reduce data loss and unauthorized disclosure of data by ensuring it is stored in a dedicated, secured location which at the same time reduces the attack surface area to sensitive data.<\/p>\n

2. Governance\/ compliance<\/strong><\/p>\n

Identifying data governed by GDPR, CCPA, HIPPA, PCI, and other current as well as future regulations is one of the main benefits of data classification and to be honest, one of the main drivers, too. Because if you don’t manage that data according to these regulations you can be in big trouble (i.e. large fines and reputational damage). This way we can also better facilitate data subject access requests or freedom of information access requests, and the right to be forgotten, among many other things. Because in the end, the right parties can now know what information is stored in the environment and where it could be retrieved from, if needed.<\/p>\n

3. Efficiency and optimization<\/strong><\/p>\n

We can enable efficient access to content based on type, usage, etc. So to build on the above point on governance and compliance, it would enable us to pass compliance audits quicker and cheaper by making it easier to identify the data governed by these regulations. We can also discover and eliminate stale or redundant data as well as dark data.<\/p>\n

4. Analytics<\/strong><\/p>\n

Data classification can help the organization optimize different business activities by having this data tagged and it also informs the organization on the usage and location of data.<\/p>\n

Would you like to learn more? Check out this video:<\/p>\n","protected":false},"template":"","class_list":["post-3267","tva_lesson","type-tva_lesson","status-publish","hentry","tva_courses-practical-data-governance","post-wrapper","thrv_wrapper"],"yoast_head":"\nLightsOnData<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lightsondata.com\/course\/data-classification\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Classification | LightsOnData\" \/>\n<meta property=\"og:description\" content=\"What Is It? Data classification Data classification is the process of organizing structured and unstructured data into mutually exclusive categories based on type, contents, and other metadata.  Most often data gets classified based on its sensitivity level. 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