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Data reception, validation and storage

Beyond 20/20 has developed a reusable architecture and a series of customizable automated procedures to:

 

  • Receive data from multiple sources in different formats
  • Process the data through a validation engine permitting to check the data against a customizable set of rules, which feature customer adaptable algorithms
  • Provide data status reports with customizable warnings, by data sets or by user, as examples. List outstanding errors by repository and/or by contributor
  • Populate the database with validated data, with appropriate reporting
  • Populate the database with unvalidated or incorrect data with exception reporting, or reject unvalidated or incorrect data with the appropriate reporting.
  • Reusable Architecture provides a proven method to save implementation time and expense
  • Customizable procedures allow 100% adaption to custom solutions