What is Cooked Data?
Cooked data is raw data that has been processed. Raw data, also known as source, eggy, or primary data, is the data that is collected from a source.
The processing of raw data means extracting, organizing and, if necessary, analyzing and presenting it for further use. The reliability and validity of the raw data can only be confirmed after it has been processed or cooked.
Raw data characteristics:
- Possibility of having multiple errors
- Invalid data
- Data can be available in different formats
- Data can be unformatted or not encoded
- some dates may still need to be quoted or confirmed
A data entry sheet can contain data as raw data in various forms: '31. March 2013 ′, '31 / 03/2013 ′, '31 / 3/2013 ′, '31. March 'or' today '. Once recorded, this raw data could be processed and stored in a normalized format - possibly a Julian date, which would help humans and computers interpret at the time of later processing.
Raw data is the data input for processing. A differentiation between data and information is often developed, which means that information is the end product of data processing. Raw data can become information; However, for this to happen, the raw data must be extracted, organized, and in some cases analyzed and formatted.
For example, a point of sale (POS) terminal used in a crowded supermarket collects significant amounts of raw data on a daily basis; However, this data provides little information when processed or cooked.
After cooking, the data can reveal the exact products each customer buys, the time of purchase, and the price at which the products are purchased. This type of information can then develop into data for processing predictive marketing strategies.
Due to the data processing, the raw data can sometimes end up in a database. This helps the raw data to be available in a variety of ways for additional processing and analysis.