Data Cleansing

Key Facts

  • Ensuring data quality
  • Central and reliable database
  • Minimization of manual rework and error corrections
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  • Medium-Term

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  • Medium-Term

  • No Price Information Available

  • To the Offerings

High data quality through data cleansing

Data cleansing is a central process for ensuring data quality, especially for master data such as customer, supplier or product information. The aim is to identify and correct incorrect, duplicate, incomplete data and inconsistencies. This creates a reliable basis for operational and strategic decisions with a data-driven foundation.
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Data Cleansing - Solves the following Problems!

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Data Cleansing - The Following Solutions can also Solve the Pain Point

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