MSIS 2012 – Statistics Sweden Guidance for Statistical Services Jakob Engdahl ( ) Head of Architecture and Strategy unit – IT Department.

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Presentation transcript:

MSIS 2012 – Statistics Sweden Guidance for Statistical Services Jakob Engdahl ( ) Head of Architecture and Strategy unit – IT Department Statistic Sweden

Zachman Framework Who When What How Contextual Conceptual System Logic Technology Process Identification Process Definition Process Specification Process Representation Inventory Identification Inventory Definition Inventory Specification Inventory Representation Timing Identification Timing Definition Timing Specification Timing Representation Responsibility Identification Responsibility Definition Responsibility Specification Responsibility Representation Interrogatives: How, What, Who, Where, When and Why Levels/Perspectives

GSBPM and GSIM Business Knowledge What How Contextual Conceptual Process Identification Process Definition Inventory Identification Inventory Definition GSBPMGSIM Process flow model GSIM CRM Process flow model Unified model (Information flow)

Unified model GSBPM - process GSIM- Object GSBPM - process GSIM- Object GSBPM - process GSIM- Object Unified model – information flow

From Business to Systems Business Knowledge What How Contextual Conceptual Process Identification Process Definition Inventory Identification Inventory Definition GSIM CRM GSBPM Process flow model GSIM Unified model (Information flow) Architecture Knowledge: Principles of SOA System Knowledge System Logic Process RepresentationInventory Representation

SOA Principles Standardized Service Contract Service Loose Coupling Service Abstraction Service Reusability Service Autonomy Service Statelessness Service Discoverability Service Composability

SOA Pitfalls Exposing existing tools as services Only tools aligned with the GSBPM should be considered Encapsulating generic tools is a technology first approach Translating GSIM-Objects into information services Encapsulating the “GSIM-Nouns” will create a dependency structure that would hinder the possibilities for international collaboration

Conclusions The development of a GSIM provides the statistical community with the next building block for international collaboration Statistical Services should encapsulate fragments of the statistical production process Statistical Services should communicate using GSIM-objects Following the SOA Principles allows us to avoid the pitfalls

Thank you for your attention