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Data.com Record Matching in Salesforce, Spring 18 salesforcedocs Last updated: January 11, 2018, Copyright 20002018 salesforce.com, inc. All rights reserved. Salesforce is a registered trademark of
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How to fill out datacom record matching in

01
To fill out Datacom Record Matching, follow these steps:
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Start by accessing the Datacom Record Matching tool.
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Enter the required information, such as the name and identification details of the record you wish to match.
04
Specify the criteria for matching the records, such as date range, location, or any specific keywords.
05
Review the matched records generated by the tool.
06
Verify the accuracy of the matched records.
07
Update or edit any incorrect or missing information.
08
Save the matched records to the designated storage or database.
09
Repeat the process for any additional records you need to match.
10
Cross-check the matched records with your desired criteria for accuracy and completeness.
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When finished, properly log out from the Datacom Record Matching tool.

Who needs datacom record matching in?

01
Datacom Record Matching is beneficial for individuals or organizations that deal with large volumes of data that need to be organized and matched.
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This can include:
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- Data analysts
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- Database administrators
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- Records management professionals
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- Compliance officers
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- Researchers
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- Government agencies
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- Financial institutions
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- Insurance companies
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- Healthcare providers
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Essentially, anyone who needs to efficiently match and organize records can benefit from using Datacom Record Matching.
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Datacom record matching is a process where data from different sources are compared to identify any matches or discrepancies.
Organizations or individuals who are mandated by law or regulation to perform datacom record matching.
Datacom record matching is typically filled out by inputting data into a designated software or database for comparison and analysis.
The purpose of datacom record matching is to ensure accuracy, detect fraud, and improve data quality.
The information reported on datacom record matching typically includes personal or transactional data that needs to be validated.
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