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SUMMER (HK) APPLICATIONS CLOSE : 30 APRIL 2019 WINTER (HK) APPLICATIONS CLOSE : TBCAUSTCHAM INTERNSHIP: STUDENT APPLICATION 1.STUDENT INFORMATIONFirst Name*: Given names (if any, including other language):
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How to fill out matching 2 databases of

01
Start by identifying the two databases that need to be matched.
02
Ensure that both databases have a common field or key that can be used for matching.
03
Determine the criteria for matching the records, such as exact match or fuzzy match.
04
Develop a matching algorithm or use existing data matching software.
05
Apply the matching algorithm to compare the records in both databases.
06
Review and validate the matched records.
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Resolve any discrepancies or conflicts that may arise during the matching process.
08
Update the matched records in both databases.
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Continuously monitor and update the matched records as new data becomes available.

Who needs matching 2 databases of?

01
Organizations or companies that have multiple databases containing similar or related data.
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Data analysts or data scientists who need to consolidate or merge different datasets.
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Companies involved in customer relationship management or marketing activities.
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Research institutions or academic institutions working with complex datasets.
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Healthcare providers or insurance companies managing patient or policyholder data.
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Matching 2 databases of refers to the process of reconciling and verifying data between two distinct databases to ensure consistency and accuracy of the information stored.
Entities such as businesses, organizations, or individuals who handle large sets of data that need to be verified against another database are typically required to file matching 2 databases.
To fill out matching 2 databases, one must gather data from both databases, identify the fields that need comparison, run the matching process using appropriate software or algorithms, and document the results clearly for reporting purposes.
The purpose of matching 2 databases is to identify discrepancies, prevent data duplication, enhance data quality, and ensure compliance with regulatory requirements.
The information reported must include data discrepancies found, the methodology used for matching, results of the matching process, and any actions taken to resolve data inconsistencies.
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