Challenges & Opportunities SDMX Implementation Challenges & Opportunities

Agilis in SDMX In the statistics industry since 1998 Working with GESMES before SDMX In SDMX software and consulting since 2005 International clientele SDMX expertise to private and public sector

Current Business Overview Developing OSS and bespoke software ✓ Providing statistical and IT services Working in integration efforts with software in the banking sector

Case Study FAME & SDMX FAME time series database Commercial Well established Eurostat's SDMX-RI software components Open Source Widely installed and used

Case Study – Problem statement An SDMX enabled architecture: Create a metadata driven data portal Expose data using SDMX Integrate production environment with dissemination and collection

Challenges & Success Factors Proprietary solutions in organisations providing statistics Metadata in place but not driving statistical processes SDMX only used in the surface Increase interoperability Invest on existing infrastructure (do not render them obsolete) Take advantage of existing metadata

1 2 3 Lessons Learnt SDMX is not easy to grasp only by documentation SDMX is not yet used to its full potential 1 SDMX is not easy to grasp only by documentation Tools and guidance can quickly get you up to speed 2 OSS software can become help to learn SDMX and integrate with existing systems 3

Thank you! Stratos Nikoloutsos Stratos.Nikoloutsos@agilis-sa.eu