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Informatica Big Data Quality 10.2.2Reference Data GuideInformatica Big Data Quality Reference Data Guide 10.2.2 February 2019 Copyright Informatica LLC 2013, 2019This software and documentation are
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Data quality tools are software applications that help organizations ensure that their data is accurate, consistent, and reliable.
Any organization that uses data and values accuracy in their data is required to use data quality tools.
Data quality tools are filled out by inputting data into the software application and running data quality checks to ensure accuracy.
The purpose of data quality tools is to improve the quality of data within an organization, leading to better decision-making and improved operational efficiency.
Data quality tools require information such as data sources, data fields, data quality metrics, and data cleansing processes.
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