Exhibition
The global conference exhibition is co-located with the plenary sessions. Come visit a select group of top private and public orgnisations presenting their latest products, projects, and initiatives related to SDMX, data exchange, data standards, and official statistics.
Public Sector
ISTAT
Overview
ISTAT is the national authority responsible for the production and dissemination of official statistics in Italy, supporting informed decision-making for citizens, institutions, and policymakers. As a leading implementer of the SDMX (Statistical Data and Metadata Exchange) standard, ISTAT has adopted a corporate SDMX strategy to modernize statistical processes, improve data quality, and enhance dissemination. Through the development of the open-source SDMX ISTAT Toolkit, the Institute provides innovative, interoperable solutions for the automation and standardization of statistical workflows.
ISTAT plays an active role in promoting SDMX both nationally—by supporting the Italian National Statistical System—and internationally, particularly through its participation in EU-funded Twinning projects. These capacity-building initiatives facilitate knowledge transfer and the adoption of SDMX across partner countries, advancing statistical harmonization and integration with European and international frameworks. With a focus on modernization, data engineering, and open data principles, ISTAT continues to drive innovation in the global statistical community.
Exhibition theme
Empowering Statistical Modernization: Istat’s Comprehensive SDMX Solutions for Data Management, Dissemination, and Capacity Building
Istat offers a comprehensive SDMX package designed to accelerate SDMX implementation across statistical organizations. At the core is the SDMX Istat Toolkit—a free, open-source platform that simplifies the adoption of SDMX for data management, dissemination, and reporting. By hiding technical complexities, the Toolkit allows users to focus on statistical processes through intuitive interfaces and guided workflows. It is central to Istat’s capacity-building initiatives, where it supports practical, hands-on training. Through this integrated approach, Istat empowers institutions to modernize their statistical systems and align with international standards more effectively and efficiently.
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ISTAT
Overview
ISTAT is the national authority responsible for the production and dissemination of official statistics in Italy, supporting informed decision-making for citizens, institutions, and policymakers. As a leading implementer of the SDMX (Statistical Data and Metadata Exchange) standard, ISTAT has adopted a corporate SDMX strategy to modernize statistical processes, improve data quality, and enhance dissemination. Through the development of the open-source SDMX ISTAT Toolkit, the Institute provides innovative, interoperable solutions for the automation and standardization of statistical workflows.
ISTAT plays an active role in promoting SDMX both nationally—by supporting the Italian National Statistical System—and internationally, particularly through its participation in EU-funded Twinning projects. These capacity-building initiatives facilitate knowledge transfer and the adoption of SDMX across partner countries, advancing statistical harmonization and integration with European and international frameworks. With a focus on modernization, data engineering, and open data principles, ISTAT continues to drive innovation in the global statistical community.
Exhibition theme
Empowering Statistical Modernization: Istat’s Comprehensive SDMX Solutions for Data Management, Dissemination, and Capacity Building
Istat offers a comprehensive SDMX package designed to accelerate SDMX implementation across statistical organizations. At the core is the SDMX Istat Toolkit—a free, open-source platform that simplifies the adoption of SDMX for data management, dissemination, and reporting. By hiding technical complexities, the Toolkit allows users to focus on statistical processes through intuitive interfaces and guided workflows. It is central to Istat’s capacity-building initiatives, where it supports practical, hands-on training. Through this integrated approach, Istat empowers institutions to modernize their statistical systems and align with international standards more effectively and efficiently.
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sdmx.io
Overview
Solutions for official statistics use cases. sdmx.io is an open‑source ecosystem that brings together open source software tools, pre‑configured environments, guidance, learning materials, and patterns — all designed to simplify and accelerate the adoption of the SDMX standard. Consisting of public and private sector parnters, sdmx.io is managed under the BIS Open Tech initiative and coordinated with SDMX sponsoring organizations, it supports interoperable, metadata-driven workflows across the statistical data lifecycle.
For national statistics offices and central banks, sdmx.io offers modular, scalable, and community-supported software that lowers technical barriers, fosters standardization, and ensures interoperability. Whether building data pipelines, improving metadata governance, or enabling reproducible analyses, sdmx.io accelerates modernization and enhances data usability across global statistical systems.
Exhibition Theme
The sdmx.io exhibition will demonstrate the latest offerings available in the sdmx.io ecosystem, including new offerings which are still in beta that which will be released ton the website after the conference.
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sdmx.io
Overview
Solutions for official statistics use cases. sdmx.io is an open‑source ecosystem that brings together open source software tools, pre‑configured environments, guidance, learning materials, and patterns — all designed to simplify and accelerate the adoption of the SDMX standard. Consisting of public and private sector parnters, sdmx.io is managed under the BIS Open Tech initiative and coordinated with SDMX sponsoring organizations, it supports interoperable, metadata-driven workflows across the statistical data lifecycle.
For national statistics offices and central banks, sdmx.io offers modular, scalable, and community-supported software that lowers technical barriers, fosters standardization, and ensures interoperability. Whether building data pipelines, improving metadata governance, or enabling reproducible analyses, sdmx.io accelerates modernization and enhances data usability across global statistical systems.
Exhibition Theme
The sdmx.io exhibition will demonstrate the latest offerings available in the sdmx.io ecosystem, including new offerings which are still in beta that which will be released ton the website after the conference.
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SIS-CC Statistical Information System Collaboration Community
Overview
The Statistical Information System Collaboration Community (SIS-CC) is a global community that brings together statistical organisations to collaborate and co-invest in open-source solutions for official statistics focusing on delivering concrete solutions to common problems through co-investment and co-innovation. SIS-CC’s flagship product is the .Stat Suite, an open-source, SDMX-native platform for managing the data lifecycle, from design and collection to processing and dissemination. The .Stat Suite enables users to explore data and develop various reporting and dissemination experiences, building on best practices in standardised (SDMX) data modeling. The community also offers the .Stat Academy, free online training and resources to support capacity building in the .Stat Suite and Data modelling in SDMX for data producers and data toolers. This includes introductory courses on SDMX for data producers, SDMX vocabulary for beginners, and SDMX structural modeling. SIS-CC has successfully supported various projects, such as the International Labour Organisation’s (ILO) Labor Market Information System (LMIS) implementations in 25 countries, the National Bank of Belgium’s data infrastructure modernisation, and the development of the Pacific Data Hub, among others. The community actively promotes the use of open data tools and standards to strengthen development data work within and outside the community.
Exhibition Theme
The commitment of SIS-CC to enhancing data skills led to the establishment of the .Stat Academy an initiative that represents a comprehensive effort to democratise access to self-paced online training, with a focus on enhancing the knowledge of data practitioners in SDMX data modelling, as well as data toolers in the technologies and tools needed to support the statistical lifecycle. Through a collection of free resources, the .Stat Academy is empowering data practitioners worldwide, leveraging a blended learning approach of online courses, hands-on workshops, and collaborative projects to facilitate learning. This multifaceted approach ensures that participants gain practical experience alongside theoretical knowledge.
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SIS-CC Statistical Information System Collaboration Community
Overview
The Statistical Information System Collaboration Community (SIS-CC) is a global community that brings together statistical organisations to collaborate and co-invest in open-source solutions for official statistics focusing on delivering concrete solutions to common problems through co-investment and co-innovation. SIS-CC’s flagship product is the .Stat Suite, an open-source, SDMX-native platform for managing the data lifecycle, from design and collection to processing and dissemination. The .Stat Suite enables users to explore data and develop various reporting and dissemination experiences, building on best practices in standardised (SDMX) data modeling. The community also offers the .Stat Academy, free online training and resources to support capacity building in the .Stat Suite and Data modelling in SDMX for data producers and data toolers. This includes introductory courses on SDMX for data producers, SDMX vocabulary for beginners, and SDMX structural modeling. SIS-CC has successfully supported various projects, such as the International Labour Organisation’s (ILO) Labor Market Information System (LMIS) implementations in 25 countries, the National Bank of Belgium’s data infrastructure modernisation, and the development of the Pacific Data Hub, among others. The community actively promotes the use of open data tools and standards to strengthen development data work within and outside the community.
Exhibition Theme
The commitment of SIS-CC to enhancing data skills led to the establishment of the .Stat Academy an initiative that represents a comprehensive effort to democratise access to self-paced online training, with a focus on enhancing the knowledge of data practitioners in SDMX data modelling, as well as data toolers in the technologies and tools needed to support the statistical lifecycle. Through a collection of free resources, the .Stat Academy is empowering data practitioners worldwide, leveraging a blended learning approach of online courses, hands-on workshops, and collaborative projects to facilitate learning. This multifaceted approach ensures that participants gain practical experience alongside theoretical knowledge.
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Private Sector
CASD
Overview
CASD provides secure access services to confidential data for non-profit research, study, evaluation or innovation. It is the first data hosting service in Europe to obtain official GDPR certification (Art. 42) though Europrivacy. CASD used to be part of INSEE but is now a consortium bringing together INSEE, GENES, CNRS, École Polytechnique, HEC Paris and Banque de France. CASD is a long-time contributor to Trevas and Making Sense is currently developing CASD VTL desktop so that CASD users will be able to use VTL alongside other statistical and data science tools.
Exhibition Theme (in collaboration with Making Sense)
The exhibition space will allow the CASD and Making Sense to present their activities in more detail, with a focus on those which relate the more closely to the themes of the conference: SDMX, VTL, interoperability with DDI, etc. A special emphasis will be made on the Trevas VTL engine and the CASD VTL Desktop. Concrete use cases and hands-on demonstrations will be shown, and visitors will be offered the possibility to experiment on their own use cases.
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CASD
Overview
CASD provides secure access services to confidential data for non-profit research, study, evaluation or innovation. It is the first data hosting service in Europe to obtain official GDPR certification (Art. 42) though Europrivacy. CASD used to be part of INSEE but is now a consortium bringing together INSEE, GENES, CNRS, École Polytechnique, HEC Paris and Banque de France. CASD is a long-time contributor to Trevas and Making Sense is currently developing CASD VTL desktop so that CASD users will be able to use VTL alongside other statistical and data science tools.
Exhibition Theme (in collaboration with Making Sense)
The exhibition space will allow the CASD and Making Sense to present their activities in more detail, with a focus on those which relate the more closely to the themes of the conference: SDMX, VTL, interoperability with DDI, etc. A special emphasis will be made on the Trevas VTL engine and the CASD VTL Desktop. Concrete use cases and hands-on demonstrations will be shown, and visitors will be offered the possibility to experiment on their own use cases.
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d-fine
Overview
d-fine is a European consulting firm focused on analytical and quantitative challenges and the development of sustainable technological solutions. The combination of over 1,500 employees with a strong scientific background and many years of practical experience enables us to provide tailor-made, efficient, and reliable solutions for more than five hundred clients from every sector of the economy. The implementation and application of classic and forward-looking methodologies and algorithms is deeply rooted in our DNA. Data collection, processing and analysis is becoming increasingly important, and we have assisted with this development for decades. Our hands-on experience in dealing with structured and unstructured data covers the whole data science spectrum – from classical linear regression through to innovative AI methods. State-of-the-art IT architectures successfully integrate bespoke solutions and standard software. We assist with architecture design and the implementation of specialized systems. Our strengths include agile proprietary development of future-proof solutions using the latest technologies. d-fine has significantly contributed to several high-impact projects, enhancing transparency, efficiency, and supervisory capabilities.
Exhibition Theme
For a Data Portal, we developed a dashboard designed for interactivity and clarity, transforming complex datasets into visually engaging displays. Another project introduces text-to-SQL technology to the portal. Another example is a Liquidity Stress Test platform, functioning on demand at every reporting date without the need of any additional information, enhancing statistical accuracy with configurable ETL processes. We developed an AI-based Supervisory Tool using NLP, Random Forests, Google News API, and pre-trained models to analyze financial documents, scan news globally, and assess shared risks. d-fine crafted an IT solution for data visualization and analysis, supporting all supervisory processes. That ranged from architecture and technical management to modern full-stack development and pipelines. One output is a solution for taxonomy- and version-independent visualizing and analyzing statistical XBRL reports, providing frequency-adjustable time-series analysis. Finally, we conducted statistical modeling of client behaviors in executing options embedded in financial products, applying classical methods and advanced ML techniques, addressing liquidity and interest rate risk.
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d-fine
Overview
d-fine is a European consulting firm focused on analytical and quantitative challenges and the development of sustainable technological solutions. The combination of over 1,500 employees with a strong scientific background and many years of practical experience enables us to provide tailor-made, efficient, and reliable solutions for more than five hundred clients from every sector of the economy. The implementation and application of classic and forward-looking methodologies and algorithms is deeply rooted in our DNA. Data collection, processing and analysis is becoming increasingly important, and we have assisted with this development for decades. Our hands-on experience in dealing with structured and unstructured data covers the whole data science spectrum – from classical linear regression through to innovative AI methods. State-of-the-art IT architectures successfully integrate bespoke solutions and standard software. We assist with architecture design and the implementation of specialized systems. Our strengths include agile proprietary development of future-proof solutions using the latest technologies. d-fine has significantly contributed to several high-impact projects, enhancing transparency, efficiency, and supervisory capabilities.
Exhibition Theme
For a Data Portal, we developed a dashboard designed for interactivity and clarity, transforming complex datasets into visually engaging displays. Another project introduces text-to-SQL technology to the portal. Another example is a Liquidity Stress Test platform, functioning on demand at every reporting date without the need of any additional information, enhancing statistical accuracy with configurable ETL processes. We developed an AI-based Supervisory Tool using NLP, Random Forests, Google News API, and pre-trained models to analyze financial documents, scan news globally, and assess shared risks. d-fine crafted an IT solution for data visualization and analysis, supporting all supervisory processes. That ranged from architecture and technical management to modern full-stack development and pipelines. One output is a solution for taxonomy- and version-independent visualizing and analyzing statistical XBRL reports, providing frequency-adjustable time-series analysis. Finally, we conducted statistical modeling of client behaviors in executing options embedded in financial products, applying classical methods and advanced ML techniques, addressing liquidity and interest rate risk.
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D-One
Overview
«Making sense of data is the winning competence in all industries.»
We build D-ONE on the belief that every company will become a data company. Since our beginnings, we have helped clients make sense of their data and generate value. D ONE is a Swiss-headquartered data and AI consultancy with a strong presence in Greece. We empower public and private organizations to transform data into actionable insights through modern data architectures, advanced analytics, and tailored AI solutions. Our Athens-based team has hands-on experience supporting SDMX implementations, including the .Stat Suite and SDMX REST APIs, and has delivered end-to-end automation for SDMX-based data collection and validation processes. We have worked with national statistical organizations, helping them modernize their data dissemination workfl ows and align with SDMX standards. Our services include data engineering, data science, metadata modelling, custom connectors to statistical platforms, and interactive visualizations. Our approach combines technical excellence with deep understanding in statistics.
Exhibition Theme
D-ONE helps organizations adopt and scale SDMX standards through automation and smart integration. Our work with the .Stat Suite and SDMX REST APIs focuses on simplifying data collection, validation, and dissemination. We also apply modern data architectures and AI techniques to enable data-driven decision making based on statistical data from government and institutional sources.
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D-One
Overview
«Making sense of data is the winning competence in all industries.»
We build D-ONE on the belief that every company will become a data company. Since our beginnings, we have helped clients make sense of their data and generate value. D ONE is a Swiss-headquartered data and AI consultancy with a strong presence in Greece. We empower public and private organizations to transform data into actionable insights through modern data architectures, advanced analytics, and tailored AI solutions. Our Athens-based team has hands-on experience supporting SDMX implementations, including the .Stat Suite and SDMX REST APIs, and has delivered end-to-end automation for SDMX-based data collection and validation processes. We have worked with national statistical organizations, helping them modernize their data dissemination workfl ows and align with SDMX standards. Our services include data engineering, data science, metadata modelling, custom connectors to statistical platforms, and interactive visualizations. Our approach combines technical excellence with deep understanding in statistics.
Exhibition Theme
D-ONE helps organizations adopt and scale SDMX standards through automation and smart integration. Our work with the .Stat Suite and SDMX REST APIs focuses on simplifying data collection, validation, and dissemination. We also apply modern data architectures and AI techniques to enable data-driven decision making based on statistical data from government and institutional sources.
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Deda Next
Overview
Deda Next is the Dedagroup company that supports the digital transformation of public administrations and public service companies by designing and delivering next-generation services.
A fully Italian company, made up of specialized professionals and passionate people who believe in tangible innovation. Every day, they provide cutting-edge technologies, innovative solutions, and their expertise to help build the social value of tomorrow.
Through cloud technologies that enable effective management of data and platforms, Deda Next contributes to the development of a society where people are at the center of everything.
In relation to our SDMX development activities, in 2025 we carried out a project with ISTAT based on AI, which allows access to the Data Warehouse contents using natural language. The goal is to make data more accessible to a broader audience and to simplify the consultation of statistics even for non-specialist users.
You can view our work here by clicking on the AI icon at the top right: https://esploradati.istat.it/databrowser/#/it/dw
Exhibition Theme
Deda Next will showcase its deep expertise in data governance for complex and regulated environments. With a holistic approach to data, the company integrates interoperability, standards management, document management, metadata, and cloud solutions to optimize information flows. At their booth, visitors can learn more about their innovative project applying AI to SDMX data, developed for ISTAT. This demonstrates how artificial intelligence can enhance complex datasets, ensuring accessibility and certified veracity of information.
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Deda Next
Overview
Deda Next is the Dedagroup company that supports the digital transformation of public administrations and public service companies by designing and delivering next-generation services.
A fully Italian company, made up of specialized professionals and passionate people who believe in tangible innovation. Every day, they provide cutting-edge technologies, innovative solutions, and their expertise to help build the social value of tomorrow.
Through cloud technologies that enable effective management of data and platforms, Deda Next contributes to the development of a society where people are at the center of everything.
In relation to our SDMX development activities, in 2025 we carried out a project with ISTAT based on AI, which allows access to the Data Warehouse contents using natural language. The goal is to make data more accessible to a broader audience and to simplify the consultation of statistics even for non-specialist users.
You can view our work here by clicking on the AI icon at the top right: https://esploradati.istat.it/databrowser/#/it/dw
Exhibition Theme
Deda Next will showcase its deep expertise in data governance for complex and regulated environments. With a holistic approach to data, the company integrates interoperability, standards management, document management, metadata, and cloud solutions to optimize information flows. At their booth, visitors can learn more about their innovative project applying AI to SDMX data, developed for ISTAT. This demonstrates how artificial intelligence can enhance complex datasets, ensuring accessibility and certified veracity of information.
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EPAM
Overview
EPAM Systems Inc. (EPAM), a leading digital transformation services and product engineering company. Since 1993, the Company has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique ‘Engineering DNA,’ EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. Learn more at www.epam.com .
Exhibition Theme
Showcasing StatGPT - an open-source, conversational AI Agent enabling users to query, transform, analyze, visualize, and interpret data through a natural language interface, all within the Talk-to-your-data framework powered by AI DIAL, SDMX AI Mapper and QuantHub technologies.
AI DIAL is an enterprise-grade open-source AI orchestration and governance platform.
SDMX AI Mapper is a tool to automatically map statistical data to Global SDMX DSD using generative AI.
QuantHub is a full data life-cycle, enterprise-grade statistical data management platform that leverages SDMX 3.0 technology, accelerating your digital transformation journey from data collection to data engineering, validation, analysis and dissemination.
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EPAM
Overview
EPAM Systems Inc. (EPAM), a leading digital transformation services and product engineering company. Since 1993, the Company has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique ‘Engineering DNA,’ EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. Learn more at www.epam.com .
Exhibition Theme
Showcasing StatGPT - an open-source, conversational AI Agent enabling users to query, transform, analyze, visualize, and interpret data through a natural language interface, all within the Talk-to-your-data framework powered by AI DIAL, SDMX AI Mapper and QuantHub technologies.
AI DIAL is an enterprise-grade open-source AI orchestration and governance platform.
SDMX AI Mapper is a tool to automatically map statistical data to Global SDMX DSD using generative AI.
QuantHub is a full data life-cycle, enterprise-grade statistical data management platform that leverages SDMX 3.0 technology, accelerating your digital transformation journey from data collection to data engineering, validation, analysis and dissemination.
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ESRI
Overview
Esri, the global market leader in geographic information system (GIS) software, location intelligence, and mapping helps customers unlock the full potential of data to improve operational and business results. Founded in 1969 in Redlands, California, USA, Esri software is deployed in more than 650,000 organizations globally. Esri has partners and local distributors in over 100 countries on six continents, including Fortune 500 companies, government agencies, nonprofits, and universities. With its pioneering commitment to geospatial information technology, Esri engineers the most innovative solutions for digital transformation, the Internet of Things (IoT), and advanced analytics.
Esri’s ArcGIS provides tools for statisticians to bring location into their work. Location can be embedded throughout the GSBPM including planning, data collection, data management, Q/A, operations and dissemination. ArcGIS provides tools for Data engineering as well as innovative ways of approaching analysis; from traditional spatial analysis to GeoAI and Generative AI being applied to improve workflows, create efficiencies and save time.
Esri will highlight our SDMX integration enabling official statistics to get the geographic advantage.
Exhibition Theme
Leveraging Location Data for Better Insights
Esri will speak to the value of leveraging location throughout statistical workflows. We will also focus on how the ArcGIS system can help you to innovate and implement new methods or complement existing workflows with GIS while supporting industry standards. We will highlight integration with SDMX into the ArcGIS system.
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ESRI
Overview
Esri, the global market leader in geographic information system (GIS) software, location intelligence, and mapping helps customers unlock the full potential of data to improve operational and business results. Founded in 1969 in Redlands, California, USA, Esri software is deployed in more than 650,000 organizations globally. Esri has partners and local distributors in over 100 countries on six continents, including Fortune 500 companies, government agencies, nonprofits, and universities. With its pioneering commitment to geospatial information technology, Esri engineers the most innovative solutions for digital transformation, the Internet of Things (IoT), and advanced analytics.
Esri’s ArcGIS provides tools for statisticians to bring location into their work. Location can be embedded throughout the GSBPM including planning, data collection, data management, Q/A, operations and dissemination. ArcGIS provides tools for Data engineering as well as innovative ways of approaching analysis; from traditional spatial analysis to GeoAI and Generative AI being applied to improve workflows, create efficiencies and save time.
Esri will highlight our SDMX integration enabling official statistics to get the geographic advantage.
Exhibition Theme
Leveraging Location Data for Better Insights
Esri will speak to the value of leveraging location throughout statistical workflows. We will also focus on how the ArcGIS system can help you to innovate and implement new methods or complement existing workflows with GIS while supporting industry standards. We will highlight integration with SDMX into the ArcGIS system.
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FIS
Overview
FIS is a leading provider of technology solutions for financial institutions and businesses of all sizes and across any industry globally. We enable the movement of commerce by unlocking the financial technology that powers the world’s economy. Our employees are dedicated to advancing the way the world pays, banks and invests through our trusted innovation, system performance and flexible architecture. We help our clients use technology in innovative ways to solve business-critical challenges and deliver superior experiences for their customers. Headquartered in Jacksonville, Florida, FIS is a member of the Fortune 250® and the Standard & Poor’s 500® Index.
Exhibition Theme
What If You Could Strengthen Your Statistical Data and Time Series Analytics Now?
Central banks, financial institutions and investment banks face an avalanche of time series data and need to gain better timely, accurate, and detailed statistical data analysis to make better decisions. FIS Market Data Analyzer is here to help with a fully integrated, comprehensive, and efficient time series-based statistical reporting solution for high-performance output.
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FIS
Overview
FIS is a leading provider of technology solutions for financial institutions and businesses of all sizes and across any industry globally. We enable the movement of commerce by unlocking the financial technology that powers the world’s economy. Our employees are dedicated to advancing the way the world pays, banks and invests through our trusted innovation, system performance and flexible architecture. We help our clients use technology in innovative ways to solve business-critical challenges and deliver superior experiences for their customers. Headquartered in Jacksonville, Florida, FIS is a member of the Fortune 250® and the Standard & Poor’s 500® Index.
Exhibition Theme
What If You Could Strengthen Your Statistical Data and Time Series Analytics Now?
Central banks, financial institutions and investment banks face an avalanche of time series data and need to gain better timely, accurate, and detailed statistical data analysis to make better decisions. FIS Market Data Analyzer is here to help with a fully integrated, comprehensive, and efficient time series-based statistical reporting solution for high-performance output.
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HMS Analytical Software GmbH
Overview
HMS Analytical Software is a trusted IT service and consulting provider with over 35 years of experience delivering data-driven solutions across industries, with a strong focus on regulated environments and the public sector. We help organizations build reliable data architectures, automate workflows, and develop custom applications and analytics platforms.
A key area of our work is supporting institutions such as statistical offices, central banks, international organizations, and public authorities, enabling them to meet demands around interoperability, long-term maintainability, and international standards. Combining technical expertise with domain insight, we create solutions that align with institutional frameworks and long-term requirements.
In the context of SDMX, we advise organizations on implementing the standard efficiently and sustainably, using open-source technologies and tools tailored to their specific needs. From designing data structures and mapping legacy systems to building compliant interfaces and automating reporting workflows, we support every stage of the SDMX journey.
Exhibition Theme
We will showcase the SDMX Lab – a cloud-based environment that makes it easy to get started with SDMX. Without any setup, users can explore key tools like the Fusion Metadata Registry and the .Stat Suite in private, ready-to-use instances.
At our booth, participants will experience how fast and hands-on SDMX onboarding can be. We’ll demonstrate common workflows, share practical examples, and invite visitors to explore the Lab themselves.
HMS will also be available for conversations on how we support data-driven projects in regulated environments – with robust architectures, tailored software, and implementation expertise.
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HMS Analytical Software GmbH
Overview
HMS Analytical Software is a trusted IT service and consulting provider with over 35 years of experience delivering data-driven solutions across industries, with a strong focus on regulated environments and the public sector. We help organizations build reliable data architectures, automate workflows, and develop custom applications and analytics platforms.
A key area of our work is supporting institutions such as statistical offices, central banks, international organizations, and public authorities, enabling them to meet demands around interoperability, long-term maintainability, and international standards. Combining technical expertise with domain insight, we create solutions that align with institutional frameworks and long-term requirements.
In the context of SDMX, we advise organizations on implementing the standard efficiently and sustainably, using open-source technologies and tools tailored to their specific needs. From designing data structures and mapping legacy systems to building compliant interfaces and automating reporting workflows, we support every stage of the SDMX journey.
Exhibition Theme
We will showcase the SDMX Lab – a cloud-based environment that makes it easy to get started with SDMX. Without any setup, users can explore key tools like the Fusion Metadata Registry and the .Stat Suite in private, ready-to-use instances.
At our booth, participants will experience how fast and hands-on SDMX onboarding can be. We’ll demonstrate common workflows, share practical examples, and invite visitors to explore the Lab themselves.
HMS will also be available for conversations on how we support data-driven projects in regulated environments – with robust architectures, tailored software, and implementation expertise.
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JAL, MGA, AXENIT Consortium
Overview
A consortium of three companies:
JAL Technology - a private Omani-owned company from Muscat, founded in 2008, specializing in geospatial services and solutions and geodata management.
MGA - a software development company from Poland, founded in 1993, specializing in creating, implementing and maintaining ERP systems and providing integration services.
AXENIT - a European software development company specializing in web and mobile applications development as well as geospatial technologies.
The consortium developed and implemented MARSA system, which is an end-to-end solution for managing statistical data according to SDMX standard. The system covers comprehensive business processes, from data collection, through analysis and transformation, to dissemination. MARSA includes modules for managing statistical indicators, variables, and strategies. The central part of the system is Fusion Registry. Through a custom ETL tool, the system enables collecting the data from different sources and automatic data migration. There is a possibility to visualise data with the use of Tableau and Apache Superset. MARSA is complemented by a Data Portal and a Mobile Application (GCC Statistics).
Exhibition Theme
We would like to focus on our main product, MARSA system for managing statistical data according to SDMX standard. This is a custom software that was designed, developed, and implemented specially for statisticians. MARSA is complemented with a Mobile Application, which was launched in November 2024.
However, as our companies specialise in different IT areas, we would like to shortly present also our other products to provide a broad perspective of our offer.
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JAL, MGA, AXENIT Consortium
Overview
A consortium of three companies:
JAL Technology - a private Omani-owned company from Muscat, founded in 2008, specializing in geospatial services and solutions and geodata management.
MGA - a software development company from Poland, founded in 1993, specializing in creating, implementing and maintaining ERP systems and providing integration services.
AXENIT - a European software development company specializing in web and mobile applications development as well as geospatial technologies.
The consortium developed and implemented MARSA system, which is an end-to-end solution for managing statistical data according to SDMX standard. The system covers comprehensive business processes, from data collection, through analysis and transformation, to dissemination. MARSA includes modules for managing statistical indicators, variables, and strategies. The central part of the system is Fusion Registry. Through a custom ETL tool, the system enables collecting the data from different sources and automatic data migration. There is a possibility to visualise data with the use of Tableau and Apache Superset. MARSA is complemented by a Data Portal and a Mobile Application (GCC Statistics).
Exhibition Theme
We would like to focus on our main product, MARSA system for managing statistical data according to SDMX standard. This is a custom software that was designed, developed, and implemented specially for statisticians. MARSA is complemented with a Mobile Application, which was launched in November 2024.
However, as our companies specialise in different IT areas, we would like to shortly present also our other products to provide a broad perspective of our offer.
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Making Sense
Overview
Making Sense specializes in the field of knowledge representation and organization, and more specifically in the modeling and governance of data and metadata from a perspective of interoperability, standardization and reuse. Making Sense provides various services around metadata standards, in particular DDI, SDMX and VTL, or W3C metadata vocabularies. We are involved in all phases of the data life cycle (acquisition, transformation, production, publication, etc.) and all stages of engineering projects: design, production, support, training. We also develop different open source software tools, in particular the Trevas VTL engine.
Exhibition Theme (in collaboration with CASD)
The exhibition space will allow the CASD and Making Sense to present their activities in more detail, with a focus on those which relate the more closely to the themes of the conference: SDMX, VTL, interoperability with DDI, etc. A special emphasis will be made on the Trevas VTL engine and the CASD VTL Desktop. Concrete use cases and hands-on demonstrations will be shown, and visitors will be offered the possibility to experiment on their own use cases.
More information
Making Sense
Overview
Making Sense specializes in the field of knowledge representation and organization, and more specifically in the modeling and governance of data and metadata from a perspective of interoperability, standardization and reuse. Making Sense provides various services around metadata standards, in particular DDI, SDMX and VTL, or W3C metadata vocabularies. We are involved in all phases of the data life cycle (acquisition, transformation, production, publication, etc.) and all stages of engineering projects: design, production, support, training. We also develop different open source software tools, in particular the Trevas VTL engine.
Exhibition Theme (in collaboration with CASD)
The exhibition space will allow the CASD and Making Sense to present their activities in more detail, with a focus on those which relate the more closely to the themes of the conference: SDMX, VTL, interoperability with DDI, etc. A special emphasis will be made on the Trevas VTL engine and the CASD VTL Desktop. Concrete use cases and hands-on demonstrations will be shown, and visitors will be offered the possibility to experiment on their own use cases.
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Meaningful Data
Overview
Our mantra is: “Simplifying regulatory reporting and official statistics.” Our mission is to transform data processes from logistical burdens into fast, user-friendly experiences. We believe great products are built on simplification — and true simplification begins with standardization. That’s why we champion SDMX and VTL: they’re not just technical standards, but enablers of transparency and interoperability. We embed them at the core of our solutions to help organizations streamline reporting and unlock the full value of their data. We develop open-source solutions (pysdmx, vtlengine) and products (VTL Suite).
Exhibition Theme
VTL + SDMX: a match made in Rome.
This year we will explore the journey of integration. VTL and SDMX are complementary standards and first-class passengers inside Meaningful Data’s products. Our team will show you how to build high quality data pipelines using open standards and a user-friendly process.
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Meaningful Data
Overview
Our mantra is: “Simplifying regulatory reporting and official statistics.” Our mission is to transform data processes from logistical burdens into fast, user-friendly experiences. We believe great products are built on simplification — and true simplification begins with standardization. That’s why we champion SDMX and VTL: they’re not just technical standards, but enablers of transparency and interoperability. We embed them at the core of our solutions to help organizations streamline reporting and unlock the full value of their data. We develop open-source solutions (pysdmx, vtlengine) and products (VTL Suite).
Exhibition Theme
VTL + SDMX: a match made in Rome.
This year we will explore the journey of integration. VTL and SDMX are complementary standards and first-class passengers inside Meaningful Data’s products. Our team will show you how to build high quality data pipelines using open standards and a user-friendly process.
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Regnology
Overview
Regnology is a leading technology firm on a mission to enhance efficiency, transparency and stability in the financial markets. Regnology has a focus on regulatory reporting with thousands of financial institutions and corporates of all sizes, and close to 100 regulators and tax authorities as clients. Regnology connects regulators and regulated financial institutions across the world through purpose-built solutions and common standards, bringing greater data quality and cost savings to all. With over 1,200 employees in 25 countries and a fast, flexible and future-proof platform, clients can quickly implement and derive value from Regnology’s solutions and rely on us to easily keep pace with ongoing regulatory changes. Regnology was formed in 2021 when BearingPoint RegTech, a former business unit of BearingPoint Group, joined forces with Vizor Software, a global leader in regulatory and supervisory technology.
Regnology Supervisory Hub (RSH) offers a composable suite of best-of-breed solutions covering the full supervision lifecycle. The end-to-end SupTech platform helps handle the licensing process and the management of granular data, template-based data collection, powerful analytics and data sharing.
Exhibition Theme
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. It allows efficient statistical data and metadata sharing through the widely adopted SDMX standard.
- SDMX expertise & training
- Increased statistical sharing efficiency
- Improved data accuracy and quality
- Standardization and harmonization
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Regnology
Overview
Regnology is a leading technology firm on a mission to enhance efficiency, transparency and stability in the financial markets. Regnology has a focus on regulatory reporting with thousands of financial institutions and corporates of all sizes, and close to 100 regulators and tax authorities as clients. Regnology connects regulators and regulated financial institutions across the world through purpose-built solutions and common standards, bringing greater data quality and cost savings to all. With over 1,200 employees in 25 countries and a fast, flexible and future-proof platform, clients can quickly implement and derive value from Regnology’s solutions and rely on us to easily keep pace with ongoing regulatory changes. Regnology was formed in 2021 when BearingPoint RegTech, a former business unit of BearingPoint Group, joined forces with Vizor Software, a global leader in regulatory and supervisory technology.
Regnology Supervisory Hub (RSH) offers a composable suite of best-of-breed solutions covering the full supervision lifecycle. The end-to-end SupTech platform helps handle the licensing process and the management of granular data, template-based data collection, powerful analytics and data sharing.
Exhibition Theme
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. It allows efficient statistical data and metadata sharing through the widely adopted SDMX standard.
- SDMX expertise & training
- Increased statistical sharing efficiency
- Improved data accuracy and quality
- Standardization and harmonization
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Sease
Overview
Sease mission is to make research in Information Retrieval more accessible to an industry audience, transforming the best research principles, ideas, and implementations from academia into real-world products.
The focus of the company is to provide R&D project guidance and implementation, search consulting services, training, and search solutions using open-source software (mostly Apache Lucene/Solr, OpenSearch, and Elasticsearch).
We are quite active in the open-source and scientific community, sharing our research and insights on our public blog, presenting at international conferences, and supporting directly open-source projects with technical designs, code contributions, and helping users. We have been working with many organizations that have adopted the SDMX standard in the last few years helping them to integrate Artificial Intelligence and best practices into their statistical search systems to leverage Large Language Models to support natural language queries and offer better data exploration.
Exhibition Theme
The theme of our exhibition space would be “AI applied to SDMX-compliant statistical search systems through open-source software”.
We’ll offer insight into the capabilities of modern open-source search engines including the latest trends and advanced AI integrations we’ve been working on.
We’ll also cover our catalog of services: the training, consulting, and development projects we offer to corporations in the statistical domain to better structure and explore their data through advanced natural language support and result relevance.
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Sease
Overview
Sease mission is to make research in Information Retrieval more accessible to an industry audience, transforming the best research principles, ideas, and implementations from academia into real-world products.
The focus of the company is to provide R&D project guidance and implementation, search consulting services, training, and search solutions using open-source software (mostly Apache Lucene/Solr, OpenSearch, and Elasticsearch).
We are quite active in the open-source and scientific community, sharing our research and insights on our public blog, presenting at international conferences, and supporting directly open-source projects with technical designs, code contributions, and helping users. We have been working with many organizations that have adopted the SDMX standard in the last few years helping them to integrate Artificial Intelligence and best practices into their statistical search systems to leverage Large Language Models to support natural language queries and offer better data exploration.
Exhibition Theme
The theme of our exhibition space would be “AI applied to SDMX-compliant statistical search systems through open-source software”.
We’ll offer insight into the capabilities of modern open-source search engines including the latest trends and advanced AI integrations we’ve been working on.
We’ll also cover our catalog of services: the training, consulting, and development projects we offer to corporations in the statistical domain to better structure and explore their data through advanced natural language support and result relevance.
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SisTer (Almawave Group)
Overview
SisTer - Sistemi Territoriali S.r.l. is an IT company that is part of the Almawave Group. It provides solutions in the areas of Geographic Information Systems (GIS), Business Intelligence and System Integration, specializing in areas such as Data Science, Location Intelligence, Decision Support Systems and Open Data. It boasts a number of proprietary assets for the Utilities and Public Administration sectors, alongside strategic collaborations that have developed over more than 30 years, including partnerships with ESRI Italy and SAS Institute. The company also operates overseas, collaborating with globally significant organizations. SisTer’s solutions feature innovative technologies in crucial areas including water resource management, energy efficiency, environmental sustainability and open government, contributing to the digital evolution of businesses and institutions.
Since 2013 SisTer has been developing solutions based on SDMX, especially for ISTAT - Italian National Statistical Institute. The potential of this standard was immediately evident; thus SisTer has continued in recent years to invest and acquire an increasing know-how in this area conducting important sdmx based projects for various organizations like ISTAT - Italian National Statistical Institute, INPS - Italian National Institute for Social Security and AFDB - African Development Bank.
Exhibition Theme
SisTer is available for presentations and demos about DataPortal.AI, a new proprietary platform that utilizes generative Artificial Intelligence in disseminating structured data. It is currently the market’s most comprehensive and advanced data dissemination solution reducing publication times, costs and complexity. Thanks to a “pick and choose” licensing model, organizations can activate only the components they require, building a solution that perfectly suits their needs. The available modules include features for the creation of “Open Data” portals, business intelligence in line with ISO standards for the dissemination of statistical data (SDMX BI), and the management and visualization of geographic data (Geodata).
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SisTer (Almawave Group)
Overview
SisTer - Sistemi Territoriali S.r.l. is an IT company that is part of the Almawave Group. It provides solutions in the areas of Geographic Information Systems (GIS), Business Intelligence and System Integration, specializing in areas such as Data Science, Location Intelligence, Decision Support Systems and Open Data. It boasts a number of proprietary assets for the Utilities and Public Administration sectors, alongside strategic collaborations that have developed over more than 30 years, including partnerships with ESRI Italy and SAS Institute. The company also operates overseas, collaborating with globally significant organizations. SisTer’s solutions feature innovative technologies in crucial areas including water resource management, energy efficiency, environmental sustainability and open government, contributing to the digital evolution of businesses and institutions.
Since 2013 SisTer has been developing solutions based on SDMX, especially for ISTAT - Italian National Statistical Institute. The potential of this standard was immediately evident; thus SisTer has continued in recent years to invest and acquire an increasing know-how in this area conducting important sdmx based projects for various organizations like ISTAT - Italian National Statistical Institute, INPS - Italian National Institute for Social Security and AFDB - African Development Bank.
Exhibition Theme
SisTer is available for presentations and demos about DataPortal.AI, a new proprietary platform that utilizes generative Artificial Intelligence in disseminating structured data. It is currently the market’s most comprehensive and advanced data dissemination solution reducing publication times, costs and complexity. Thanks to a “pick and choose” licensing model, organizations can activate only the components they require, building a solution that perfectly suits their needs. The available modules include features for the creation of “Open Data” portals, business intelligence in line with ISO standards for the dissemination of statistical data (SDMX BI), and the management and visualization of geographic data (Geodata).
More information