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Oracle Enterprise Data Quality Oracle Enterprise Data Quality Address Verification Server Release Notes Release 14.x and 15.x E5472105 May 2015 This document contains cumulative release information
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How to fill out Oracle Enterprise Data Quality:

01
Start by accessing the Oracle Enterprise Data Quality application.
02
Identify the data that needs to be addressed and improved for quality purposes.
03
Use the data profiling feature to assess the current state of the data. This will help identify any data quality issues or inconsistencies.
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Cleanse the data by using the data cleansing functionality within the application. This will involve removing duplicates, standardizing data formats, and correcting any inaccuracies.
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Validate the cleansed data to ensure its accuracy and reliability. This may involve using data validation rules or external reference data.
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Enrich the data by leveraging the data enrichment capabilities of the application. This could include appending missing data or enhancing existing data with additional information.
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Monitor the data quality by setting up data quality rules and regularly assessing the quality of the data.

Who needs Oracle Enterprise Data Quality:

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Organizations that deal with large volumes of data and want to ensure its accuracy and reliability.
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Companies that rely heavily on data for business decisions, reporting, or compliance purposes.
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Businesses that want to improve their customer experience by maintaining high-quality customer data.
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Industries with strict regulatory requirements, such as financial services or healthcare, where data quality is crucial for compliance.
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Data-driven organizations that want to minimize the risk of making incorrect decisions based on poor-quality data.
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Oracle Enterprise Data Quality is a comprehensive data quality solution that helps organizations maintain the accuracy and completeness of their data.
Any organization that values the quality of their data and wants to ensure data governance can benefit from using Oracle Enterprise Data Quality.
To fill out Oracle Enterprise Data Quality, organizations need to define data quality rules, implement data profiling, cleansing, and monitoring processes, and utilize the provided tools and features.
The purpose of Oracle Enterprise Data Quality is to help organizations improve the quality, accuracy, and reliability of their data, leading to better decision-making and operational efficiency.
Organizations must report on the quality and completeness of their data, data governance practices, data profiling and cleansing activities, and any issues or discrepancies identified.
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