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Question1. What are the components of quality data?
Answer1. The latest information technology dimensions has enabled to make diverse use of data and turning the raw data into meaningful information to extract the quality. Data can be referred to raw numbers, figures which are useless unless they are put into a form and converted into a useful information. A data is said to be effective when it is converted into useful form or rather can be used to provide some information. When the raw data which is numeric, figures is converted into meaningful information, it is said to be known as information which can be used to give the data a meaning. Data quality is defined by its usefulness. When the data offers accurate information regarding a person or an organization then it is said to be known as data quality. The components of data quality can be analyzed with the help of the following data elements:
1. Accuracy which defines how correct and precise is the data
2. Completeness, the comprehensiveness of data also defines the data quality
3. Timeliness, the timely updates on the data also ensures that the data is correct and free from any discrepancy
4. Relevancy, the data that is gathered should be relevant which defines the purpose and fulfills the use. It defines that the data gathered accomplish the purpose
5. The last element of data quality is its availability. It defines the availability of the data to have access to the information.

The above five key elements ensures that the data is free from any inconsistency and is appropriate to the information user. Data quality is very essential to make the most use of the available information and put into use. However, many a times data quality suffers from certain issues like inconsistency and the deficient data which needs to be

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