Data Cleaning

  • Data Cleaning

    Velocity, Variety, Volume

Data Cleaning is the process of removing or modifying incomplete and inaccurate records from a dataset.

  • Identifies individual data elements in the source and then isolates these data elements in the target file(s).
  • Correct parsed individual data components using sophisticated data algorithms and secondary data sources.
  • Standardizing applies conversion routines to transform data into its preferred format using both standard and custom business rules.
  • Searching and matching records within across the parsed, corrected and standardized data based on predefined business rules to eliminate duplications.
  • Analyzing and identifying relationships between matched records and consolidating/merging then onto one representation.