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Data cleansing is the process of parsing, standardizing and correcting customer and operational data.

  • Parsing identifies individual data elements and breaks them down into their component parts. It rearranges data elements in a single field or moves multiple data elements from a single data field to multiple discrete fields.
  • Standardization includes business rules around formats, abbreviations, acronyms, punctuation, greetings, casing, order, and pattern matching – all examples of elements you can control to meet your business requirements and prepare the data for validation, correction, and accurate record matching.
  • Correction is the process of identifying and cleansing "dirty data" using sophisticated algorithms and rules in conjunction with custom and SAP referential data.
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