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The value added of a national statistical institute Max Booleman Marleen Verbruggen.

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Presentation on theme: "The value added of a national statistical institute Max Booleman Marleen Verbruggen."— Presentation transcript:

1 The value added of a national statistical institute Max Booleman Marleen Verbruggen

2 Overview presentation -Introduction: changing environment of a NSI and (organizational) consequences -The business architecture -Role of metadata in the future statistical system -Organizational aspects: managing metadata -Summary / conclusions

3 Introduction Mission CBS: To compile and publish undisputed and coherent up-to- date statistical information that is relevant for practice, policy and research - Increasing demands for statistical information - Combining information from different sources: the value added of a NSI - Rapid developments in ICT Resulted in process oriented organisation in 2000. However until present: there remain a considerable number of (small) ICT-systems

4 Business architecture What does a business architecture: it tries to translate the strategic goals of an organization into an optimal organizational structure including the supporting ICT systems

5 Principles of the business architecture 1.Organization: CBS wide, generic set-up of processes and ICT support. ICT support independent of organizational structure. 2.Product: support of all products. Fast and flexible response to changing demands for new products. 3.Process: reducing the number of ICT systems, development of more generic systems, implementing transparency by adding process metadata 4.Environment: addressing the increasing diversity of channels used by suppliers

6 Business architecture

7 The business architecture and metadata Metadata is corner stone of the future statistical process. Guiding principles: 1.Strict distinction between implementation (production) and design (development) 2.No regular production without metadata; processes are metadata driven 3.Strict distinction between data and metadata 4.Strict distinction between metadata and the metadata of these metadata 5.Metadata easily accessible and standardised 6.Design / maintenance of prescribing rules are important statistical activities

8 Managing metadata One of the activities for the coming period: an up-to date, approved, organizational structure for managing metadata. Prescribing metaRealization meta ConceptualXNot needed ProcessXX QualityXX

9 Managing metadata Different roles: 1.The theme administrator: responsible for thematic area 2.The interested parties: mainly users 3.The supplier: supplier of metadata 4.The authority: formal owner of the metadata 5.The communicator: organises distribution and accessibility of metadata 6.The editor: responsible that output metadata needs required textual standards 7.The coordinator: starts / coordinates the process

10 Managing metadata The phases of the process: 1.The initiation phase: by proposal or signal of a problem to the coordinator and theme administrator 2.The production phase: drawing up a recommendation 3.The authorization phase: approval of recommendation, includes also escalation procedure 4.Setting up phase: communication and implementation of possible accompanying measures

11 Experiences - Described process is running, but without theme administrators. Coordinator acts as theme administrator for all themes - Main experience on output-side of statistical process: challenge to make connection to input and throughput Difficulties: -Coordinator not subject expert for all themes -Departments do not feel responsible enough -Labour intensive task

12 Summary and conclusions -Increasing availability of external registrations -Challenge of a NSI to combine them, create a coherent and consistent set of concepts and figures: the value added of a NSI -Organization of a NSI should support this development, including ICT system -Business architecture may be useful tool to design optimal (ICT-)structure -Multiple use of tools and data: reinforces need for appropriate metadata system -Building set of consistent, standardised conceptual metadata is labour intensive -Strong coordination is needed -For process and quality metadata: looking for best practices

13 The value added of a national statistical institute Max Booleman Marleen Verbruggen


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