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Project Data Quality and Master Data Management (DQM/MDM)

Project Data Quality and Master Data Management (DQM/MDM)

An essential prerequisite for the implementation of management and analysis tools, Data Quality Management is a major challenge in this era of Digital Business, multichannel business, and legal reinforcement in certain economic sectors.

The emergence of big data and the growing proportion of unstructured data means traditional quality management methods have to be reconsidered and data reliability has to be increased.

To meet these challenges, Oresys has developed a hub of expertise coupled with original methodologies, to allow you to accelerate data quality improvement.

Our method

Our method consists of:

  • A diagnostic and quality scoring of your data in terms of confidence, conformity, exhaustiveness and updating

  • Definition of a quality recovery strategy and methods for data stocks and flows, adapted to each project context

  • Data quality improvement via automatic enrichment with external or market data, source reconciliation and coherency, de-duplication, etc.

    To achieve this, Oresys has developed and uses control tools leveraged from over 30 years of experience.

A few references: Edenred, La Banque Postale, Eco-Emballages, METRO Cash & Carry France, Arkema