http://digitaldataroom.net/ma-science-academy-advantages-and-disadvantages

The reliability of data protection is the degree to which the data that are collected by a company are reliable, accurate and consistent. Data from a business has to be reliable to be used in analysis and decision-making.

Companies must follow strict quality control procedures to ensure the accuracy of data. These could include validation of data standard formats, as well as thorough cleansing of data. Expertise and experience of the data collection teams is essential. A knowledgeable team is more likely to adhere to best practices and provide reliable data. Secure data storage and a technological infrastructure that is current can also help prevent errors which could affect data reliability.

Incorrect or incorrect data can lead to serious problems both internally and externally. A data error can cause a company to show that a customer's account is $100, when it actually has $1000. This can lead to financial penalties and the loss of trust. Inaccurate sensor data from manufacturing equipment may result in recalls and product defects.

Validity and reliability are related however they are distinct concepts. Validity is based on the accuracy of the data. For instance, a list with duplicate or non-unique email addresses is not valid and should not be used to send out marketing emails.

Reliability refers to the consistency and accuracy over time of the data. For instance in the event that two lists of customer email addresses from different sources are identical but slightly different, they are not able to be used to target the marketing campaign, since they are not able to work or reach the wrong people. Because of this, it is essential to keep complete records of the methods used for collecting and modifying data, to maintain transparency and integrity of insights.