What Is Data Sanctity?

Updated September 04th, 2024

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Data sanctity is about making sure that data stays accurate and trustworthy throughout its entire lifecycle. This means that from the moment data is created until it’s finally used, it remains unchanged, protected from corruption, unauthorized modifications, or loss.
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Why is this important? Because organizations rely on this data to make decisions, and if the data isn’t reliable, neither are the decisions.

To maintain data sanctity, organizations need to put in place processes, tools, and policies that protect the data from any kind of compromise. This ensures that the data can always be trusted.


Dig deeper #

  1. Preserving Digital Sanctity: The Urgent Need for Data Privacy Protection
  2. Sanctity of Digital Privacy and Personal Data during COVID-19: Are Youths Enough Digitally Literate to Deal with It?
  3. The Business Leader’s Guide to Data-Driven Decision Making
  4. Challenges of Data Quality in Drug Discovery: Managing Complexity for Better Innovations

  1. 7 Data Integrity Best Practices You Need to Know
  2. Data Integrity vs. Data Quality: Nah, They Aren’t Same!
  3. Data Observability : Definition, Key Elements, and Business Benefits
  4. Data Quality Explained : Causes, Detections, and Fixes
  5. Data Quality in Data Governance : The Crucial Link That Ensures Data Accuracy and Integrity

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