We build a knowledge base of defined or acquired metadata to support harmonisation and validation of data across your business processes.
Relying on metadata, masterdata and business rules, your data are profiled and stressed to ensure compliance with your business requirements.
Run analyses about your data asset added value and cost of ownership. Build strategies and define objectives on a solid knowledge.
Open Data Quality was born in 2014 with the aim of enabling companies to assess and manage the quality of their data. Its skills have naturally extended from data management to metadata governance. Metadata is the information that describes your data and allows you to predict its expected behaviour. It now enables organisations to determine the intrinsic value of their data.
"The metadata management features adapted to our specific requirements, and allowed cleansing of validation rules as well as automated data validation"
"The metadata knowledge base permitted an efficient harmonisation of the data definitions, thus allowing a better reuse rate of the data"
"The knowledge base gives the opportunity to use data from other business areas instead of re-acquiring them. This accelerates data production and analysis. I appreciated the integrated validate-encrypt-load feature: very efficient!"
Thanks to the efforts of both Open Data Quality and Federal Statistical Office teams, this version now focuses on the unicity of metadata definitions in order to ensure data harmonisation as the key evolution to Read more…