The Importance of Reliability of Data Protection
The reliability of data protection is the extent to which the data of a business is accurate, trustworthy and consistent over time. The data of a business must be reliable to be useful for analysis and making decisions.
To ensure data integrity companies should establish and adhere to strict quality control protocols. These can include validation of data as well as standard formats and comprehensive data cleansing procedures. Experience and expertise of data collection teams are equally important. A knowledgeable team is more apt to follow the best practices and provide reliable data. A good technology and secure data storage capabilities can prevent mistakes that could affect the accuracy of data.
The use of inaccurate or inconsistent data can cause serious problems both internally and externally. For example when a company’s database shows that the customer has $1000 in their account, when in reality they have $100 due to a data error best m&a certification that could lead to financial penalties and lost trust. Inaccurate sensor data from manufacturing equipment may also lead to product defects and recalls.
Validity and reliability are both interrelated however they are distinct concepts. Validity is about whether the data you have is correct. For example an email list of customers email addresses that aren’t unique or contains duplicate entries indicates that the list isn’t valid and should not be relied on to send out marketing emails.
Reliability is the consistency and accuracy over time of the data. For example, if two lists of customer email addresses from different sources are identical but slightly different, they are not able to be used to create a marketing campaign, as they are not able to be effective or reach the right people. For this reason, it is crucial to keep precise records of the methods employed to collect and modify information, to ensure transparency and integrity of insights.