Data Integrity

Data integrity is the overall accuracy, completeness, and uniformity of data over its entire life-cycle. Data integrity also refers to the safety of data in regards to regulatory compliance and security. Data integrity is maintained by a collection of processes, rules, and standards implemented during the design phase. When the integrity of data is secure, the information stored in a database will remain complete, accurate, and reliable no matter how long it’s stored or how often it’s accessed. Data integrity also ensures that your data is safe from any outside forces.

Data integrity is critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data.

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.

Imagine Data has expertise to design, maintain and validate systems to maintain data integrity.

Ways to Ensure Data Integrity

  • Regular Data cleaning and maintenance
  • Perform Validation of data
  • Train staff
  • Audit your Audit Trails
  • Change Control
  • Validate IT Systems
  • Plan for Business Continuity
  • Be Accurate
  • Archive Regularly

 

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