Data quality assurance is the process of ensuring that data is accurate, complete, reliable, and consistent.

Objective

Liztek Data quality assurance service is to ensure that data is fit for its intended purpose and can be relied upon to make informed decisions.
Liztek shall adapt following approach to perform data quality assurance:

1. Data profiling: This involves analyzing data to identify potential data quality issues, such as missing values, inconsistent data formats, and incorrect data types.
2. Data cleansing: This involves correcting or removing any identified data quality issues, such as fixing typos, filling in missing values, and removing duplicate data.
3. Data validation: This involves ensuring that data is accurate and consistent, such as verifying that numerical values fall within expected ranges and that data conforms to business rules and standards.
4. Data monitoring: This involves regularly checking data to ensure that it continues to meet quality standards, such as monitoring for changes in data patterns or identifying any new data quality issues that arise.

Liztek Data quality assurance is essential for ensuring that organizations can make informed decisions based on reliable and accurate data. It helps to minimize the risk of errors and inconsistencies in data that can lead to incorrect conclusions and costly mistakes.