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 Date Cleaning / Enrichment

 
 
 
 Data Cleansing and Data Enrichment Services

As a biggest Data Entry Services provider we are also provide Data Cleansing Services. This is a very important process in this process our experts detecting the error in your unstructuralful business data. Data cleansing services involves validation, standardizing enforces the integrity value and maintains the data accuracy in the database. Compcare dealing with all type of Data Entry Service and Data Cleansing Service and provide the accurate data to the client and decrease the undesirable cost wastage. Compcare experts are able to clean any type of unstructuralful data, verify the data accuracy and rectifying incorrect and duplicate entries and presenting your valuable data with well manner so that every user as sales department, personnel department and other department access this data directly.

CompCare has expertise in improving the quality of your existing Data by its data cleansing and data enrichment services, thus making your data more sensible and useful. These services include the Seggregation, organization, and cleansing of data.
 Data cleansing:
Often the existing data has no consistent format, reason, it being derived from many sources. Or it contains duplicate records/items and may have missing or incomplete descriptions. Data cleansing, is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated. We, at CompCare fix misspellings, abbreviations, and errors. The data is normalized so that there is a common unit of measure for items in a class.
 Our capabilities for data cleansing and enrichment services include:
  • Data seggregation, organization, and cleansing

  • Enrichment of data with product description, images, and manufacturer specifications

  • De-duplication: removing duplicate records

  • Identification of missing or incomplete data

  • Incorporating changes / amendments
We offer a cleansing service to clean and tidy-up your data. Depending upon your requirements this may involve:
  • The identification and removal of duplicated records

  • The identification and marking/tagging of similar records

  • The removal of erroneous and invalid records

  • Data validation

  • The removal of irrelevant/obsolete data
 
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