The reliability of data protection is the degree to which the data that are collected by a company are accurate, reliable and consistent. Data provided by a company has to be reliable in order to be used to make decisions and analysis.
Companies must follow strict quality control procedures to ensure the reliability of data. These include validation of data along with standard formats and rigorous data cleansing procedures. The knowledge and experience of data collectors is crucial, since a well-trained team is more likely to adhere to best practices and create reliable data. A secure storage option for data and a technology infrastructure that is up-to-date can help to prevent errors that could compromise the reliability of data.
The use of inaccurate or inconsistent data can lead to serious issues, both internally and externally. A data issue can cause a company to display that a customer’s account is $100 when it actually http://digitaldataroom.net/electronic-data-rooms-secure-solutions-for-your-business has $1000. This can lead to financial penalties as well as the loss of confidence. Inaccurate sensor data from manufacturing equipment could result in recalls and product defects.
Validity and trust are connected however they are distinct concepts. Validity is based on whether the data is accurate. For example the list that has duplicate or non-unique email addresses is not valid and cannot be used to send out marketing emails.
Reliability refers to the consistency and accuracy over time of the data. For instance when two lists of email addresses of customers from different sources are similar but slightly different, they are not able to be used to target a marketing campaign, as they will not be effective or reach the right people. Therefore, it is vital to keep precise records of the methods employed to collect and modify data, in order to ensure the integrity and transparency of the information.
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