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Your Partner for Efficient SDMX Solutions

SDMX Consulting & Implementation

Looking for SDMX expertise? We have in-depth knowledge of SDMX tools and are your trusted partner for technical implementation and consulting.
Statistical Data and Metadata Exchange (SDMX) is an internationally recognized standard for the exchange and management of statistical data.

Implementing SDMX facilitates a structured, interoperable, and transparent data flow between organisations. We help you efficiently integrate SDMX into your IT and data landscape.

Why SDMX?

Efficient data exchange and interoperability are critical for organisations managing large-scale statistical data. SDMX provides a structured framework that standardises data sharing, enhances quality, and ensures compliance with international standards. By reducing manual processes and enabling automation, SDMX improves efficiency and data governance.

With standardised data structures, SDMX ensures seamless interoperability, better data consistency, and streamlined workflows. It supports automation in data collection, validation, and dissemination, reducing errors and accelerating reporting processes. By enabling machine-to-machine (M2M) communication, SDMX makes statistical data more accessible and reusable.

SDMX also simplifies regulatory compliance at national and international levels. It aligns with global reporting frameworks used by organisations such as the UN, IMF, and World Bank, ensuring international comparability.

For consulting firms, SDMX expertise presents a collaboration opportunity. We provide tailored implementation support, helping organisations integrate SDMX efficiently into their IT landscape.

By adopting SDMX, organisations modernise statistical processes, improve data transparency, and build an interoperable data ecosystem fit for the digital age.
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Our Approach

The SDMX Data Lifecycle

The SDMX Data Lifecycle unfolds its full potential when two key factors come together:
A consistent SDMX data model ensures a common structure across all process steps – from modelling and production to dissemination and reporting. At the same time, a reliable, scalable and automated IT infrastructure enables secure, efficient and future-ready operations.

Together, they lay the foundation for a seamless, transparent and standardised data flow. With the right tools in place, the SDMX Data Lifecycle becomes a strategic asset for data quality, automation and interoperability.
Visual representation of the data lifecycle in SDMX process including Data Modeling, Data Collection, Data Production, Data Dissemination, and Data Reporting. Each phase is illustrated with icons and key tasks.

Our SDMX Services

We offer comprehensive consulting and technical support for the implementation of SDMX in public institutions, businesses and as a cooperation partner for consulting firms:
Consulting & IT Integration
Analysis of the existing data and tool landscape
Strategy development for a step-by-step SDMX implementation
Adaptation of existing IT infrastructures
Technical Implementation & Development
Development and enhancement of Fusion Metadata Registry (FMR), .stat-Suite and pysdmx
Integration of existing and new tools into a streamlined data lifecycle
Establishment and automation of data extraction and validation processes
Hosting
Deployment
Training & Support
Introduction to SDMX standards & best practices
Training for statistics and IT teams
Long-term support for sustainable data processes
Tools & Software
Coming Soon
Automatic metadata synchronisation between FMR and .stat-Suite – now supporting SDMX 3.0 & 3.1
Seamless conversion & synchronisation of SDMX 3.0 artefacts into an SDMX 2.1 metadata registry
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Our Experience

Explore our latest insights on SDMX with these expert presentations:
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Julian Kurz
Christoph Bergen

Using NLP Methods to Improve SQL Data Accessibility

This presentation explores how natural language queries can make SDMX data more accessible to non-technical users. We introduce a modular, scalable AI-driven framework that integrates SDMX data into SQL databases, featuring two interaction models: direct SQL code generation and intent recognition-based execution. By leveraging open-source frameworks, the approach adapts to evolving Generative AI advancements. The session concludes with insights into future-proof AI integrations, including validation, operationalization, and enhanced data accessibility.
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Laila Magin

On the evolution of tools in the context of changing business and IT demands

SDMX helps organizations improve data quality, dissemination, and interoperability, but enterprise-wide implementation poses challenges. This talk presents a holistic approach to integrating SDMX tooling into IT landscapes while aligning with business needs.

We discuss a centralized structural metadata registry and a data platform that together support the full SDMX data lifecycle. Using the case study of BIS’s FMR and .Stat Suite, we highlight key considerations in metadata governance, IT security, and cloud-based integration.
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Your benefits with HMS as a SDMX partner

Choosing the right SDMX consulting partner is crucial for efficient data integration and regulatory compliance. HMS Analytical Software combines deep expertise in SDMX implementation, Fusion Metadata Registry (FMR), and IT automation, making us the ideal partner for businesses, public institutions, and consulting firms seeking seamless SDMX solutions.

Are You an Analyst or IT Decision-Maker?

Proven Expertise
Extensive experience in data integration and IT development in the SDMX environment
Comprehensive Support
End-to-end assistance from strategy to implementation and long-term maintenance
Efficiency through Automation
Optimised IT automation to increase efficiency and ensure seamless interoperability
Specialised FMR Knowledge
Expertise in Fusion Metadata Registry (FMR) for fast-track feature development

Looking for a Collaboration?

Trusted Collaboration Partner
Reliable expertise for SDMX projects requiring specialised knowledge
Technical Excellence
Implementation support for complex SDMX tool landscapes
Seamless White-Label Integration
Maintain your client relationships with our behind-the-scenes solutions
Custom SDMX Solutions
Hands-on expertise in customising and extending SDMX frameworks
Our expertise ensures a smooth and efficient integration tailored to your needs.

FAQs – Answers to Your Questions

Implementing SDMX in data modelling as well as in the IT infrastructure is a complex project because it affects the core data production processes. However, by drawing on HMS’s experience in IT integration and SDMX, we break the project into manageable steps and seamlessly integrate SDMX tools into your existing workflows.
The Fusion Metadata Registry (FMR) is the leading tool for maintaining SDMX structural metadata, data validation and data handling. Thus, it is a central tool for data modelling in SDMX and provides features for the whole data lifecycle, from form generation for data collection, data mapping in data production, to the dissemination of data through the API. It boasts a wide user base within the community, with its functionality continuously evolving.
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Yes. Based on HMS Analytical Software’s broad experience in IT integration and automation with different technologies, HMS excels in analyzing your current IT infrastructure, pinpoints opportunities, and, thus, proposes tailored integration plans for SDMX tools. We manage every stage, from project planning and business analysis to tool development and implementation. We’re deeply rooted in the community (e.g., in the SDMX technical working group and the FMR prioritization group) and, thus, can suggest the best tools for your use case and, if necessary, launch the development of new features in existing open source tools.

Long-term SAS support for IT department of a banking group

Finance

Since 2006, HMS has supported the regulatory reporting departments of a large German banking network with SAS expertise and comprehensive know-how. We provide ongoing consultation, performance optimisation, and customised solutions for regulatory requirements.

Benefits:

  • Qualitative improvement of legacy resources
  • Enhanced software and data quality
  • Performance optimization
  • Daily support
Case Study anschauen

SAS Viya migration at automotive bank

Banking

We successfully migrated our client's SAS platform from on-premises to SAS Viya on Azure. We built a cloud infrastructure with Kubernetes and implemented migration and automation tools.

Benefits:

  • On-time fulfillment of all requirements
  • Modern work environment
  • Ensured operational readiness (OpsReadiness)
Case Study anschauen
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Perfect Execution: Migration to SAS Viya

Energy Supplier

A leading energy supplier migrated critical systems from SAS 9.4 on-premises to the cloud-based SAS Viya platform. HMS optimised the infrastructure for stable operations.

Benefits:

  • Efficient migration
  • Low-maintenance user environment
  • Long-term support by HMS
Case Study anschauen

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Case Study anschauen

Cloud-native Statistical Computing Environment

Life Science / Pharma

HMS replaced a 25-year-old central SAS-based system with a modern, cloud-native Statistical Computing Environment (SCE) for analyzing clinical studies for Germany's largest pharmaceutical company.

Benefits:

  • Integration of the SCE web app with SAS Studio under SAS Viya for seamless workflows
  • System design with AWS services for optimal data security and access
  • Automated validation strategy to simplify regular release deployments
Case Study anschauen
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Benjamin Keller
Senior Project Manager

Have we sparked your interest?

We are happy to provide answers and support you with your project.

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