What are some Informatica data quality use cases?

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Informatica Data Quality (IDQ) enables organizations to improve data quality across various use cases, including data governance, master data management, 360° customer views, analytics, risk management, and enterprise data lakes, ensuring timely, trusted, and relevant data for business initiatives.
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profiling data, creating scorecards, standardizing data, parsing records, validating addresses, finding duplicates, and creating/running data quality rules
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Informatica Data Quality offers a wide array of use cases, broadly categorized into data profiling, cleansing, enrichment, and validation. These include tasks like data profiling to analyze data quality, cleansing to remove duplicates and standardize data, enriching data with external sources, and validating...
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Informatica Data Quality offers a wide array of use cases, broadly categorized into data profiling, cleansing, enrichment, and validation. These include tasks like data profiling to analyze data quality, cleansing to remove duplicates and standardize data, enriching data with external sources, and validating data against predefined rules, all contributing to improved data accuracy and consistency. read less
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