SDMX Implementation Challenges Opportunities Agilis in SDMX In
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SDMX Implementation Challenges & Opportunities
Agilis in SDMX In the statistics industry since 1998 Working with GESMES before SDMX International clientele In SDMX software and consulting since 2005 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 • • • Increase interoperability Metadata in place but not driving statistical processes SDMX only used in the surface Invest on existing infrastructure (do not render them obsolete) Take advantage of existing metadata
Lessons Learnt 1 SDMX is not yet used to its full potential 2 SDMX is not easy to grasp only by documentation Tools and guidance can quickly get you up to speed 3 OSS software can become help to learn SDMX and integrate with existing systems
Thank you! Stratos Nikoloutsos Stratos. Nikoloutsos@agilis-sa. eu
