Data Integrity

Data integrity analysis is a critical process that involves meticulously examining and enhancing the quality, accuracy, consistency, and reliability of data within a database.

Why is Data Integrity analysis important?

By scrutinizing data for errors, inconsistencies, and completeness, it ensures that the information is trustworthy and can be relied upon for decision-making and business processes.

How does FAIRLY perform Data Integrity analysis?

This comprehensive evaluation includes tasks such as data validation, cleansing, and verification against external references, aiming to identify and rectify any anomalies or inaccuracies.

Data integrity analysis is fundamental for maintaining the overall health and utility of data assets, fostering informed decision-making, and preventing data-related issues that may hinder the effectiveness of an organization’s operations.

Specifically, we look for fields that are missing or unavailable plus min, max, mean and standard deviation of predictions