Eurogroup register contribution to ESS EA

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1 Eurogroup register contribution to ESS EA Group of Expert on Business Register Brussels MUSEUX J.M., XIROUCHAKIS I., KOEVESD G.

2 ESS Vision 2020 Drivers, Business objectives, Priority areas ESBRs European Systems Business Registers Interoperability EGR2.0 Enterprise Architecture Shared development, Reuse, Efficiency, Portfolio Catalogue of Service, CPSA

3 WHAT'S IN IT FOR ME? SYSTEM DESIGN

4 Architecture building blocks Statistical Production Reference Architecture Principles Business Capabilities All artefacts are interlinked and made coherent with the ESS Vision

5

6 CDP EUROSTAT NSI Identification service Identify Legal units Commercial data Commercial and NSI data processed Preliminary Frames NSI s truncated enterprises Consult and update Preliminary Frame Final Frame

7 DnB WS EGR IS IPT EGR CORE EGR IM EGR FATS

8 Capabilities "Provide unique identifiers for MNEs" Status Information standard Methodology Human Resources Standard input output message Fuzzy search Business rules for handling priorities Central team Information manager Amber Green Green Green IT EGR IS service Amber Process Central service Green ESS Capability Statistical Register Management

9 Capabilities Information standard Methodology Human Resources "Collaborative case management for MNES" - Case management Business rules for handling priorities Collaboration NBRS Status Green Green Green IT EGR IM Green Process Case management Green ESS Capability Statistical data preparation

10 Statistical production management New statistics development New data Legislative Business Capability Model Level 2 sources work (Re)Design Understand Process & exploration participation user needs statistical workflow design outputs Statistical Design Process methods design (Re) Design production system, statistical services, and rules Statistical product innovation Methods and tools devevelopment for new statistics Provision agreement management Primary data collection Statistical Data collection Metadata collection and management Collection of administrative and other data sources Statistical Registers Management Information resources Mgt Processing Analysis Statistical Dissemination Statistical Data mgt Metadata Mgt. Statistical data preparation Statistical output analysis Release Mgt. Products and services promotion Quality management Calculation and finalization of output Flexible data access provisioning Statistical Content mgt. Quality assessment Quality control mechanisms mgt. New variables and units derivation 10

11 New statistics development Statistical production management New data Legislative Business Capability Model Level 2 sources work (Re)Design Understand Process & exploration participation user needs statistical workflow design outputs EGR 2.0 Statistical Design Process methods design (Re) Design production system, statistical services, and rules Statistical product innovation Methods and tools devevelopment for new statistics Provision agreement management Primary data collection Statistical Data collection Metadata collection and management Collection of administrative and other data sources Statistical Registers Management Information resources Mgt Processing Analysis Statistical Dissemination Statistical Data mgt Metadata Mgt. Statistical data preparation Statistical output analysis Release Mgt. Products and services promotion Quality management Calculation and finalization of output Flexible data access provisioning Statistical Content mgt. Quality assessment Quality control mechanisms mgt. New variables and units derivation 11

12 12

13 EGR

14 EGR

15 EGR IS 15

16 Enterprise Architecture and Project Management Positive dialogue between project manager and enterprise architect EA helps the PM To realise the Vision by delivering component that can be reused To be efficient by taking benefit of existing componentd PM helps EA To realise the roadmap to the Vision To fill in the catalogue of reusable components 16

17 EGR 2.0 Entails lots of potentiality for developing reusable components Require some evolution to be decided on a solid cost benefit analysis 17

18 THANK YOU FOR YOUR ATTENTION 18

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