Accuracy of Data and the Information
Inaccurate data results in incorrect information being output from the information system. The consequences can be minor or major depending on the importance of the information. ‘Data integrity’ is the term used to describe the correctness, accuracy and validity of the data.
There are various techniques utilised including data validation and data verification checks. Data validation involves checking the data is in the correct format and is reasonable as it is entered into the system. Verifying data as correct is much more difficult then validating it as reasonable. Data can become inaccurate over time.
The accuracy of collected data is further improved when there is a format and template when inputting the data. This is to ensure that the data corrected is accurate and in the correct format.
There are various techniques utilised including data validation and data verification checks. Data validation involves checking the data is in the correct format and is reasonable as it is entered into the system. Verifying data as correct is much more difficult then validating it as reasonable. Data can become inaccurate over time.
The accuracy of collected data is further improved when there is a format and template when inputting the data. This is to ensure that the data corrected is accurate and in the correct format.