Regnology Fusion Statistics

A proven solution built on the SDMX standard

SDMX is a highly recognized ISO standard providing a flexible metamodel for describing data in any statistical domain.

Regnology Fusion Statistics delivers an enterprise SDMX statistical data management solution for storage of aggregated time series, data cataloguing and public dissemination for central banks, international organizations, national statistics offices, development banks and regional statistics authorities.

Key benefits

SDMX expertise & training

Benefit from advice and training from the team of experts who developed the original SDMX standards and who are active advisors contributing to the SDMX Technical Working Group (TWG).

Increased statistical sharing efficiency

End-to-end solution leveraging SDMX enables you to streamline and automate your statistics lifecycle from data collection to screening, validation, and analysis to the final dissemination.

Improved data accuracy and quality

The solution enables users to define and enforce metadata standards and rules to ensure the accuracy, reliability, and consistency of exchanged statistical data.

Standardization and harmonization

The platform can effectively integrate and handle data at scale with complex rules from different sources while ensuring that data is consistent and harmonized.

Features

Simplified data acquisition & storage

The solution allows to load metadata structures and data from Excel/CSV/multiple SDMX formats or automatically pull data at scheduled intervals from external sources. It also supports data validation, mapping and transformation as well as simplified data collection.

Data and metadata access control

Users can control at a granular level precisely what data and metadata each user group can see.

Data discovery & analytics

The solution comes with configurable data discovery, visualization and analytics tools for data consumers and analysts. Google-like search across all statistical datasets and visualization features are available using in-built tables and timeseries charts, with the ability to save and share queries and retrieve statistical data directly in Excel.

Production & publication

Users can share and publish statistical data using the secure, scalable data dissemination service to provide data consumers with fast and reliable access to your published datasets. They can also publish directly in curated but dynamic web data tables, via API or through 3rd party analytical tools or websites.

Deployment flexibility

The solution can be deployed on-premises or in the cloud as a managed service for optimal availability, scalability, and ease of maintenance.

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