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 knowledge base has been an enabler for our data and metadata harmonization strategy.
Our users could get onboard from the beginning of the project, which allowed us to adjust and validate the statistical production processes.
The application contributed to project’s agility, and immediate implementation of the key objective: interoperability"
"User friendly and adaptive, the metadata knowledge base has been able to meet the specific requirements of statistical activities. It also facilitates the approval work of the Data Stewards, and the global vision of metadata and their quality. Some functionalities that are essential for successful harmonisation were quickly and successfully implemented."
The separation of defined variables (concepts) and used variables (implementations) ensures a clear structure to our business processes, and greatly facilitates the harmonisation of metadata through the reuse of existing concepts. The primary result is a dataset that is consistent with other statistical activities, in an easy-to-use and clearly structured graphical interface.
The metadata knowledge base helped build the foundations for data harmonisation in a complex project, resulting in rapid user adoption of the new design processes.
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…