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Data Integrity - The Foundation of Trustworthy Information
In an increasingly digitalized world, ensuring data integrity is crucial for the success of globally operating companies. It encompasses the accuracy, completeness, and consistency of data throughout its entire lifecycle - from customer data and transactions to internal reports. Only unaltered and reliable data can serve as a solid basis for decision - making.
What Does Data Integrity Mean?
Data integrity refers to the accuracy, completeness, and consistency of data throughout its entire lifecycle. It ensures that information - whether customer data, transactions, or internal reports - remains unaltered and reliable. This forms the basis for well - informed decisions.
Why Is Data Integrity Important?
In a digital and interconnected business environment, success largely depends on trustworthy data. Faulty or manipulated information can lead to wrong decisions, loss of reputation, and regulatory issues. Data integrity protects against these risks and creates the foundation for efficiency, transparency, and trust - both internally and externally.
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Conclusion
Data integrity is not just a technical detail but a strategic success factor. Those who rely on trustworthy data secure long - term quality, compliance, and business agility.