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Definitions of Data Categories are groupings of data with
common characteristics or features. The table
that starts here and continues on the next page
includes definitions and examples for major
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How to fill out definitions of data categories

How to fill out definitions of data categories:
01
Start by identifying the different types of data categories that are relevant to your organization or project. This may include customer data, sales data, financial data, or any other categories that are specific to your industry or objectives.
02
Clearly define each data category by providing a concise and accurate description. This description should explain what the data category represents and what types of data it includes. For example, if you have a customer data category, you may define it as "Information related to individual customers, including their contact details, purchase history, and preferences."
03
Specify the purpose and use of each data category. This involves explaining why the data category is important and how it will be utilized within your organization. For instance, if you have a financial data category, you may state that it is used for budgeting, financial reporting, and analysis.
04
Determine the data attributes or characteristics that are associated with each data category. These attributes can be specific data fields or properties that provide further details about the data. For instance, if you have a product data category, the attributes may include product name, SKU, description, price, and availability.
05
Consider any data relationships or associations between different data categories. This is important to understand how the data categories are interconnected and how data from one category may relate to another. For example, customer data may be associated with sales data through a unique customer identifier.
Who needs definitions of data categories:
01
Data administrators or data stewards within the organization who are responsible for managing and organizing data.
02
Data analysts and data scientists who rely on accurate and well-defined data categories to perform their analyses and generate insights.
03
Business stakeholders and decision-makers who need a clear understanding of the data being used to inform their strategic decisions.
04
IT professionals who are involved in the development and maintenance of data systems and databases.
05
Compliance and regulatory teams who need to ensure that data categories adhere to relevant data privacy and security regulations.
By providing comprehensive definitions of data categories, you ensure that all stakeholders have a consistent understanding of the data being used, which promotes better decision-making, data quality, and overall efficiency within the organization.
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What is definitions of data categories?
Definitions of data categories refer to the specific descriptions and classifications of different types of data that are used within a certain system or organization.
Who is required to file definitions of data categories?
The individuals or entities responsible for managing data within a system or organization are required to file definitions of data categories.
How to fill out definitions of data categories?
To fill out definitions of data categories, one needs to identify and categorize the different types of data used, provide clear descriptions and classifications for each category, and document any relevant guidelines or standards.
What is the purpose of definitions of data categories?
The purpose of definitions of data categories is to establish a common understanding and framework for organizing and managing data within a system or organization, ensuring consistency and facilitating effective data governance.
What information must be reported on definitions of data categories?
The information reported on definitions of data categories typically includes the names of data categories, their descriptions, classifications, and any associated guidelines or standards.
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