Reliability of data protection is the extent to which a business’s data is reliable, accurate and reliable over time. A company’s data must be reliable to be useful for analysis and making decisions.
To ensure data reliability, businesses should establish and adhere to strict quality control procedures. These could include validation of data, standard formats and rigorous data cleansing procedures. The knowledge and experience of data collectors is also http://digitaldataroom.net/ma-science-academy-advantages-and-disadvantages important, as a knowledgeable team is more likely to follow the best practices and create reliable data. A good technology infrastructure and secure storage capabilities can prevent errors that could impact data reliability.
Using inaccurate or inconsistent data can lead to serious problems both internally and externally. A data error can cause a business to show that a customer’s bank account has $100 when it actually holds $1000. This can lead to financial penalties as well as an erosion of confidence. In the same way, inaccurate sensor data from manufacturing equipment could result in recalls and product defects.
Validity and reliability are related but different concepts. Validity refers to whether the information you’ve gathered is accurate. For example, a list of customers’ email addresses that aren’t unique or that contain duplicate entries means that the list isn’t valid and shouldn’t be used for sending marketing emails.
Reliability is all about the accuracy and consistency of that data over time. For instance, if you’ve got two lists of customer email addresses from different sources that are the same, but slightly different, you can’t apply them to the same marketing campaign since they will not be effective or reach the wrong people. For this reason, it is vital to keep meticulous records of the techniques employed for obtaining and altering data, in order to ensure transparency and integrity of data.
