Write a note on classification of data
Answers
Answer : Classification of Data
Explanation :
For performing statistical analysis, various kinds of data are gathered by the investigator or analyst. The information gathered is usually in raw form which is difficult to analyze. To make the analysis meaningful and easy, the raw data is converted or classified into different categories based on their characteristics. This grouping of data into different categories or classes with similar or homogeneous characteristics is known as the Classification of Data.
The main objectives of Classification of Data are as follows:
- Explain similarities and differences of data
- Simplify and condense data’s mass
- Facilitate comparisons
- Study the relationship
- Prepare data for tabular presentation
- Present a mental picture of the data
Basis of Classification of Data :
The classification of statistical data is done after considering the scope, nature, and purpose of an investigation and is generally done on four bases; viz., geographical location, chronology, qualitative characteristics, and quantitative characteristics.
1. Geographical Classification :
The classification of data on the basis of geographical location or region is known as Geographical or Spatial Classification. For example, presenting the population of different states of a country is done on the basis of geographical location or region.
2. Chronological Classification :
The classification of data with respect to different time periods is known as Chronological or Temporal Classification. For example, the number of students in a school in different years can be presented on the basis of a time period.
3. Qualitative Classification :
The classification of data on the basis of descriptive or qualitative characteristics like region, caste, sex, gender, education, etc., is known as Qualitative Classification. A qualitative classification can not be quantified and can be of two types; viz., Simple Classification and Manifold Classification.
4. Quantitative Classification :
The classification of data on the basis of the characteristics, such as age, height, weight, income, etc., that can be measured in quantity is known as Quantitative Classification. For example, the weight of students in a class can be classified as quantitative classification.
Types of Classification of Data :
- Public data
- Private data
- Internal data
- Confidential data
- Restricted data
Why Classification of Data is Important for Businesses?
For most businesses, classification of data is a necessary data hygiene exercise.
Classification of data ensures that companies comply with regulatory compliance obligations to develop data-centric security across all levels of the enterprise. It helps businesses prioritize their data protection efforts, improving data security and regulatory compliance. Classification also helps to reduce costs, boost user productivity, and facilitate prompt decision-making by eliminating unnecessary data.
In addition, sensitive information should be stored securely and deleted from company databases after a defined period. Businesses have to create data categories and apply security rules to avoid breaking the law.
Many businesses have sensitive data in their networks without knowing it. Implementing data classification and data security policies can help organizations to identify the level of security and privacy protection that should be applied to enforce the right access controls.
To know more about the concept please go through the links :
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