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Case StudyDEDUPLICATION ENGINE Streamlined solution to ensure centralized reduplication of doctors databaseCLIENT The client is one of the fastest growing pharmaceutical companies in India. The company
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How to fill out de-duplication engine

01
To fill out a de-duplication engine, follow these steps:
02
Identify the data sources: Determine which datasets or databases you want to use for de-duplication.
03
Define the criteria: Decide on the key fields or attributes that will be used to identify duplicate records.
04
Collect the data: Extract the necessary data from each data source and gather it in a unified format.
05
Standardize the data: Clean and standardize the data to ensure consistency and accuracy.
06
Pre-process the data: Apply techniques such as tokenization, stemming, or lemmatization to transform the data into a standardized format suitable for de-duplication.
07
Utilize a de-duplication algorithm: Implement a de-duplication algorithm or use an existing library or tool to compare and match records based on the defined criteria.
08
Resolve conflicts: Handle cases where duplicate records are identified, such as merging or updating the data.
09
Evaluate and iterate: Continuously assess the performance of the de-duplication engine and make improvements as necessary.

Who needs de-duplication engine?

01
Various industries and organizations can benefit from a de-duplication engine, including:
02
- E-commerce platforms that want to eliminate duplicate entries in their product catalogs.
03
- Customer relationship management (CRM) systems that aim to maintain clean and accurate customer data.
04
- Financial institutions that need to detect and remove duplicate transactions or accounts.
05
- Healthcare providers that want to eliminate duplicate patient records for better healthcare management.
06
- Data analytics companies that require accurate and non-redundant data for meaningful insights.
07
- Government agencies that deal with large amounts of data and need to ensure data integrity and consistency.
08
Essentially, any organization that handles large datasets and wants to improve data quality, reduce redundancy, and enhance data analysis can benefit from a de-duplication engine.
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De-duplication engine is a software or system used to identify and eliminate duplicate records or data entries within a database.
Any organization or individual who maintains a database with potential duplicate entries is required to utilize de-duplication engine.
De-duplication engine is typically filled out by inputting data into the software and running the de-duplication process to identify and remove duplicates.
The purpose of de-duplication engine is to ensure data accuracy, improve database efficiency, and prevent errors caused by duplicate records.
The information reported on de-duplication engine includes the duplicate records identified, the actions taken to resolve duplicates, and any data cleansing activities performed.
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