What is data integrity?
Data integrity is the trustworthiness of data - that it is correct and stays correct as it moves and changes.
It is protected by validation, access controls, audit trails, and backups, which together prevent corruption and unauthorized alteration.
Short answer
Data integrity is the accuracy, consistency, and reliability of data over its whole lifecycle - the assurance that data is correct, unaltered except by intended changes, and trustworthy. It covers preventing corruption, unauthorized changes, and inconsistency. In a CRM, data integrity is what lets people trust that the records reflect reality and have not been degraded.
Key takeaways
- The accuracy, consistency, and reliability of data over time.
- Assurance data is correct and only intentionally changed.
- Protected by validation, access controls, and audit trails.
- What lets people trust the records reflect reality.
Why it matters
Data with poor integrity cannot be trusted, so every decision built on it is suspect. Integrity is what makes data a reliable asset - guarding against corruption, unauthorized change, and inconsistency so the records genuinely reflect reality.
How Ardovo handles it
Ardovo protects data integrity with validation, role-based access, audit logging, and consistent structure, so records stay accurate and changes are traceable. Rook maintains consistency and flags anomalies, so the data remains trustworthy across its lifecycle.
Frequently asked questions
What is the difference between data integrity and data quality?
Data quality is how good the data is at a point in time - accurate, complete, consistent. Data integrity is the assurance that data stays correct and reliable over its lifecycle, protected from corruption and unauthorized change. Quality is the state; integrity is the ongoing trustworthiness.
How is data integrity protected?
Through validation that prevents bad values, access controls that limit who can change data, audit trails that record changes, and backups that guard against loss. Together these ensure data is only altered by intended changes and stays accurate and traceable across its lifecycle.
Why does data integrity matter in a CRM?
Because every decision, report, and automation depends on the data being correct and trustworthy. If integrity is compromised - by corruption, unauthorized change, or inconsistency - people cannot trust the records, and the CRM stops being a reliable source of truth. Integrity is what makes the data dependable.