Definition of Data Integrity
Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle. Compromised data, after all, is of little use to enterprises, not to mention the dangers presented by sensitive data loss. For this reason, maintaining data integrity is a core focus of many enterprise security solutions.
Data integrity can be compromised in several ways. Each time data is replicated or transferred, it should remain intact and unaltered between updates. Error checking methods and validation procedures are typically relied on to ensure the integrity of data that is transferred or reproduced without the intention of alteration.
Why Should a Business Maintain Data Integrity?
Maintaining data integrity is important for several reasons. For one, data integrity ensures recoverability and searchability, traceability (to origin), and connectivity. Protecting the validity and accuracy of data also increases stability and performance while improving reusability and maintainability.
Data increasingly drives enterprise decision-making, but it must undergo a variety of changes and processes to go from raw form to formats more practical for identifying relationships and facilitating informed decisions. Therefore, data integrity is a top priority for modern enterprises.
- digitalguardian
Business Solution Helps to Maintain Data Integrity
ERP as a business solution is essential in maintaining data integrity. It properly governs each transaction and leave a trace in it. Data from a single source of truth will ensure the data reliability as there has no manual keying in along the process. It enhances your decision making process, material planning and business budgeting in the truthfulness of the data retrieved.