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Statistical Analysis : Classification of Data. There are four types of classification. They are Geographical classification, Chronological classification, Qualitative classification, Quantitative classification.
Complete a risk assessment of sensitive data. Develop a formalized classification policy. Categorize the types of data. Discover the location of your data. Identify and classify data. Enable controls. Monitor and maintain.
Data classification is the process of organizing data by agreed-on categories. Thoroughly planned classification enables more efficient use and protection of critical data across the organization and contributes to risk management, legal discovery and compliance processes.
Typically, organizations that store and process commercial data use 4 levels of data classification, which include three confidential levels (secret, confidential, business use only) and one public level.
Business data classification approaches There are three different approaches to data classification within a business environment, each of these techniques paper-based classification, automated classification and user-driven (or user-applied) classification has its own benefits and pitfalls.
Data Classification Standard. The UNSW Data Classification Standard is a framework for assessing data sensitivity, measured by the adverse business impact a breach of the data would have upon the University. During the course of conducting University business (administrative, financial, education, research or service).
An organization may classify data as Restricted, Private or Public. In this instance, public data represents the least-sensitive data with the lowest security requirements, while restricted data is in the highest security classification and represents the most sensitive data.
Sensitivity is based upon a calculation of the damage to national security that the release of the information would cause. The United States has three levels of classification: Confidential, Secret, and Top Secret. Each level of classification indicates an increasing degree of sensitivity.
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