The security of data is the degree to which data that a company collects are reliable, accurate and constant. Data from a business must be reliable in order to be used in analysis and decision-making.
To ensure the reliability of data Businesses should establish and adhere to strict quality control procedures. This can include things such as data validation checks, standardized formats and rigorous data cleansing procedures. Experience and expertise of teams that collect data are equally important. A team with experience is more apt to follow best practices and provide reliable data. A secure storage option for data and a technological infrastructure that is up-to-date will also help avoid errors that could compromise the reliability of data.
Incorrect or inconsistent data http://digitaldataroom.net/how-to-raise-a-venture-capital-fund can lead to serious issues, both internally and externally. For instance the database of a company shows that the customer has $1000 in their account when they actually have only $100 due a data error and this could result in financial penalties and lost confidence. Additionally, inaccurate sensor information generated by manufacturing equipment could result in recalls and product defects.
Validity and reliability could be related but are different concepts. Validity is based on whether the data is accurate. For example an email list that contains duplicate email addresses or those that are not unique is not valid, and therefore cannot be used to send out marketing emails.
Reliability refers to the consistency and accuracy of the data over time. For instance, if you have two lists of customer email addresses from different sources that are similar but slightly different, it is not possible to apply them to the same marketing campaign since they aren’t effective or may not reach the correct people. Because of this, it is essential to keep meticulous records of the techniques used for collecting and modifying data, to maintain the integrity and transparency of the information.