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Total Matching With EDS Labs, Release 12.2.1Lab 1: Import a Partially Configured Match Processor You will start these labs by importing a process that includes a partially configured match processor
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Step 1: Start by identifying the data sources that you want to match with EDQ.
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Step 2: Collect the necessary data from these sources, such as names, addresses, and other identifying information.
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Step 3: Use the EDQ platform or software to load and process the data for matching.
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Step 4: Specify the matching criteria and rules to determine how closely the data should be matched.
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Step 5: Run the matching process using the EDQ platform or software.
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Step 6: Review the matching results and analyze the data to identify any potential matches or duplicates.
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Step 7: Take appropriate actions to resolve any matching issues or inconsistencies.
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Step 8: Repeat the matching process periodically to ensure ongoing data accuracy and consistency.

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Government agencies that handle citizen data and require comprehensive and accurate data matching.
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Healthcare providers that need to accurately match patient records for improved care coordination and data integrity.
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Total matching with edq is a process to ensure accurate and complete data matching between different datasets.
All individuals or entities who are involved in data matching activities are required to file total matching with edq.
Total matching with edq can be filled out by following the guidelines provided by the authorities and using the designated forms.
The purpose of total matching with edq is to improve data quality, accuracy, and completeness in matching different datasets.
Information such as matched records, unmatched records, matching algorithms used, and error rates must be reported on total matching with edq.
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