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Draft Methodology for impact analysis of ESS.VIP Projects

This draft methodology outlines the process for evaluating the implementation costs and future benefits of ESS VIP projects. It includes a business case, SWOT analysis, and quantitative analysis. The methodology aims to support decision-making and align projects with the ESS Vision 2020.

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Draft Methodology for impact analysis of ESS.VIP Projects

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  1. Draft Methodology for impact analysis of ESS.VIP Projects Pieter Everaers, Director Eurostat Directorate A, Cooperation in the ESS, International cooperation, Resources

  2. A methodology for impact assessment is needed • ESSneton Standardisation :establish the business case of European standardisation initiatives • November 2012: new ESS.VIP projects have to be evaluated on the implementation costs and future benefits =>task force • May 2014: ESS Vision 2020 agreed by ESSC. Projects will be selected on criteria including cost/benefit

  3. Two initiatives assessed the possible approaches • Sponsorship on Standardisation (end 2012- September 2013) proposed: • Common assessment approach • Link to the life cycle of a new initiative • Structured qualitative approach • Assessment by all stakeholders in the ESS • Scoring mechanism • Basis for the European business case

  4. Two initiatives assessed the possible approaches • Task Force "Impact analysis of ESS.VIP projects" • (April-December 2013) proposed: • Draftmethodology and pilot project • Quantitative and qualitative assessments • Information collected at NSI level but impact for the ESS • Statistical and financial experts + senior management • In the quantitative phase: “benefits” = potential cost savings • SWOT based on proposal from ESSnet + flexible items

  5. Reconcile the 2 methodologies • ESSC asked RDG and ITDG-DIME for a single methodology • Proposal • Combination of qualitative and quantitative analysis • 2 phases of the methodology linked to the life cycle of the initiative

  6. Phase 1Business case including SWOT and Vision general criteria Phase 2 including detailed quantitative analysis

  7. Phase 1 • Business case includes criteria from ESS 2020 Vision • SWOT analysis based on 3 fixed items and 3 flexible items • Rating of the SWOT items • Leads to decision to launch the project or to go to phase 2

  8. Phase 1: Vision general criteria • A. Does the proposal have a positive business case at both ESS and national levels, in the sense that benefits outweigh costs? • B. Does the proposal contribute to the needs and drivers identified in the ESS Vision 2020 such as efficiency, quality and promoting public trust? • C. Can the proposal be clearly positioned according to our ambitions for collaboration set out in the ESS Vision 2020? • D. Does the scope in that sense look manageable? • E. Is the proposal consistent with the full set of other proposals? • F. Does the proposal take into account generic European principles like proportionality and subsidiarity? • G. Is the proposal in line with the European Statistics Code of Practice? • H. Does the proposal observe existing legislation, both at national and EU level? • I. Is the proposal in line with the ESS reference architectural decision and design principles? • J. Does the proposal sustain a simultaneous production of European and national statistics?

  9. Phase 1: List of SWOT items • 1. STRENGTHS • a. Saving of resources • b. Improved process and systems quality • c. Enhanced flexibility • d. Increased harmonisation • e. Increased level of detail • f. Better availability of metadata • 2. WEAKNESSES • a. Costs (of development, transition, support and maintenance) • b. Lack of agility/flexibility of the new system • c. Heterogeneity of the starting point between countries and partners • d. Complexity • e. Impact of changed process (risk of errors, discontinuity of the data) • f. Lack of appropriate skills in the NSIs

  10. Phase 1: List of SWOT items • 3. OPPORTUNITIES • a. Reduced burden on respondents • b. Enhance standardisation • c. Better communication with users and stakeholders • d. Opportunity to change to cope with resource constraints • e. Shared technical developments • f. Possibility to provide tailored feedback to data providers • 4. THREATS • a. Lack of consistency with national policies (including legal) • b. Lack of support from stakeholders/financers • c. Lack of suitable skill profiles • d. Threat to data security • e. Competition from other providers • f. Dependency from external actors/providers

  11. Phase 1: SWOT rating

  12. Phase 2 • Quantitative analysis • Focus only on business processes affected by change • Estimation of current costs, development costs and future costs of production • Cost categories: Staff , IT solutions, Overhead, Other costs • In case potential savings cannot be quantified: build on concrete experiences from countries which have modernized their production system, develop scenarios • + Adaptation of the SWOT analysis

  13. To be kept in mindLessons from the pilot on quantitative approach • Analysis of current costs is possible for most countries • Data not always available for different steps of the GSBPM • Difficult for some countries to estimate their costs • =>group countries • Future costs: impact analysis of the modernization process at Member State level not systematic

  14. Way forward • Proposaldiscussedtoday and in ITDG-DIME steering group 18 June • Feed the work of the high level Task Force working on the ESS Vision 2020 Implementation strategy (for DGINS) • Test on projectsimplementing Vision 2020 (2014-2015) • Evaluate and adapt the methodology

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