Introduction to Data Classification

Summary

Data Classification is a process of consistently categorizing data based on specific and pre-defined criteria so that this data can be efficiently and effectively protected. 

Data Classification is mainly done for the following reasons:

• Improving ease of access
• Maintaining regulatory compliances 

Data classification is an essential part of a successful data security use case. In order to simplify the process of identifying and protecting their sensitive data, Organizations have to implement easy to use data classification policies. 

An Example of Data Classification

A typical organization's classifications can be as,

• Restricted
• Private or
• Public

Public data represents the least-sensitive data while restricted data represents the most sensitive data. This type of data classification is often the starting point for many enterprises, followed by additional identification and tagging procedures that label data based on its relevance to the enterprise, quality, and other classifications.

Additionally data assets can be classified into different legal compliance frameworks such as,

1. General Data Protection Regulation (GDPR)
2. California Consumer Privacy Act (CCPA)
3. Lei Geral de Proteção de Dados Pessoais (LGPD) etc.

This will help organizations to comply with the respective frameworks.

There are many ways of classifying data assets but classification using business glossary is the most effective way as it gives an additional control over the data assets through terms.

Using OvalEdge, Organizations can implement their data classification policies successfully based on their sensitive data for each business unit/ domain in their organization