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Cooked Data
Definition - What does Cooked Data mean?
Cooked data are raw data that has been processed. Raw data, also referred to as sourced, eggy, or primary data, are the data gathered from a source.
Processing of raw data signifies extracting, organizing as well as possibly analyzing and presenting them for further use. The reliability and validity of raw data may be confirmed only after they are processed or cooked.
Techopedia explains Cooked Data
Raw data characteristics:
Raw data are the data input for processing. A differentiation is often developed between data and information signifying that information is the final product of data processing. Raw data have the ability to become information; however, for that to happen, it is essential to extract, organize and in some cases, analyze and format the raw data.
As an illustration, a point-of-sale terminal (POS terminal) used in a crowded supermarket gathers significant volumes of raw data daily; however, those data do not deliver much information unless they are processed or cooked.
Once cooked, the data might be able to point out the precise products that every customer purchases, the time of purchase, and the price at which the products are purchased. This sort of information can then develop into data for processing predictive marketing strategies.
Due to data processing, the raw data may sometimes ends up in a database. This helps the raw data to become available for additional processing and analysis in many different ways.
- Possibility to contain multiple errors
- Invalid data
- Data might be available in various formats
- Data might be unformatted or uncoded
- Some data may still require citation or confirmation
Raw data are the data input for processing. A differentiation is often developed between data and information signifying that information is the final product of data processing. Raw data have the ability to become information; however, for that to happen, it is essential to extract, organize and in some cases, analyze and format the raw data.
As an illustration, a point-of-sale terminal (POS terminal) used in a crowded supermarket gathers significant volumes of raw data daily; however, those data do not deliver much information unless they are processed or cooked.
Once cooked, the data might be able to point out the precise products that every customer purchases, the time of purchase, and the price at which the products are purchased. This sort of information can then develop into data for processing predictive marketing strategies.
Due to data processing, the raw data may sometimes ends up in a database. This helps the raw data to become available for additional processing and analysis in many different ways.
