Regnology snaps up SDMX solutions provider Metadata Technology

Regnology

Regulatory reporting solutions firm Regnology has acquired Metadata Technology, a provider of statistical data and Metadata Exchange solutions.  

Metadata Technology provides SDMX solutions for central banks and national statistics authorities.

SDMX is an ISO standard designed to describe statistical data and metadata and improve efficient sharing across statistical organizations and institutions. SDMX is sponsored by seven international organizations and is the most widely adopted standard from international organisations and national statistical offices.

Founded in 2005, Metadata is a specialist provider of SDMX solutions, software tools, and related consultancy. Regnology said the offer complements its 2021 acquisition of Vizor SupTech, an integrated data collection software used by regulators around the world.

Metadata’s software solutions are built on open-source technology, in particular, the Fusion Metadata Registry (FMR) – which currently empowers over 450 statistical agencies in 150+ countries with structural SDMX metadata registries.

The latest generation of its cloud-enabled commercial software, Fusion Registry, provides international organizations with the additional capabilities needed to support the complete data lifecycle from collection, integration, storage, and processing through to the dissemination of aggregated data.

Regnology said that this new acquisition marks another step forward in its ambition to serve the community of regulators and regulated financial institutions with best-in-class solutions designed to address the data conundrum and regulatory complexity with streamlined workflows and increased efficiency.

Regnology chief revenue officer Maciej Piechocki added, “The team at Metadata has built a stand-out technology trusted by central banks and statistical agencies across the globe. We are committed to pursuing the effort to foster widespread SDMX adoption to alleviate the strain of reporting and further increase statistical processing efficiency.

“Through the deal, we are also pleased to be able to bring an enhanced offering to our existing community of regulators and authority bodies.”

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