Integrated Statistical Production Processes: A Modern Approach
In the realm of official statistics, responding to challenges through modernization programmes is crucial. The traditional approach is evolving towards integrated statistics, focusing on economic, environmental, and social domains. This shift involves harmonizing processes, modernizing IT environments, and repositioning regulatory frameworks. The new approach emphasizes integrated programmes like IBIS and IHSP, merging business, international trade, household, and social statistics. The goal is to enhance data availability, meet increasing demands for information, and boost cost efficiency.
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Presentation Transcript
Modern Statistical Production Processes based on a Service-oriented Business and Information Architecture An Integrated Statistics Approach Towards a Integrated Statistics Programme for the post-2015 development agenda Geert Bruinooge Global Conference on a Transformative Agenda for Official Statistics New York 15-16 January 2015
Outline Challenges Responding to the challenges Traditional approach Integrated statistics programme Benefits and costs General principles Corporate Services Step by step approach Conclusions Points for discussion
Challenges Fast technological developments Increasing internalization Rapid growing availability of new data Sharp increase in rate of data availability Greater demand for more (& quicker) information Decreasing budgets and improving cost efficiency Demands to decrease response burden IT environment
Responding to the challenges Through modernization programmes for integrated statistics. Characterized by: technical and managerial specializations of staff modernization of the IT-environment harmonization/centralization of statistical production processes repositioning the legal and regulatory environment of the statistical organizations. Business as usual will not be enough.
Traditional approach Statistical Domains economic, environment and social statistics Household Income and Expenditures etc. Industry Jobs Education Environment Agriculture Meta data and standards Registers and frames Surveys and admin sources Processing Analysis Dissemination IT processes etc.,
New Approach grated statistical production process and Integrated statistics programme Integrated business and international trade statistics programme (IBIS) Integrated household and social statistics programme (IHSP) Economic Environment dimensions Social dimensions Economic dimensions Environment dimensions Social dimensions dimensions
Integrated statistics approach Dissemination Macroeconomic accounts Outputs / Household and demographic statistics Economic & environmental statistics Statistical operations Data integration Inputs Data processing Data collection Registers and frames Surveys Statistical infrastructure Standards and methods Information, Communication Technology (ICT) Institutional setting Management and internal policy Institutional arrangements
Benefits of integrated systems Statistical business and information architecture governs common statistical production process and centralized statistical services over time and across countries. Corporate, centralized services allow for statistical professionalization, project management and coordination. Meet policy demands: covering business and household statistics, labor statistics, short term statistics, national accounts and international statistics. Cost effectiveness. Improved quality: coordinated output; reduction of human factor; improved reproducibility. Reduction of response burden on business and household respondents. Offer collaboration in the development and application of common methods and IT tools. Robust and flexible and a stable platform for facing new developments.
Cost/Investments Expertise (subject-matter specialists, projectmanagers, methodologists, IT specialists) Training (new) personnel in change/project management and integration methods and process management IT-environment using standards-based modules and dissemination platforms Reorganisations
General Organizational Principles 1. Use corporate business and information architecture blue print for process development 2. Adopt legal mandates based on fundamental principles for official statistics 3. Mainstream standards and metadata 4. Optimize use of administrative data 5. Maximize multi-use of data
General Organizational Principles (2) 6. Top down editing and imputation 7. Develop modular IT applications across statistical domains 8. Initiate methodological innovation and modernization 9. Establish quality culture 10.Manage development and change I. Project portfolio and portfolio management II. Planning and prioritisation III. Centralization and chain management
Total Cycle of Official Statistics Production Phase 1 Common needs assessment Phase 8 Phase 2 Common evaluation Common design Phase 3 Phase 7 Common build Common dissemination Disseminated data Phase 6 Phase 4 Common analysis Common collection Phase 5 Output data Macro and sector statistics Common processing Input data Micro data
Coordination and management framework for capacity building initiatives Integrated statistics programme common methods, procedures and tools for phases of statistical production process Integrated household and social statistics programme (IHSP) Integrated business and international trade statistics programme (IBIS) Phases (common procedures) Environment dimensions Economic dimensions Environment dimensions Economic Social dimensions Social dimensions Assessment Design and build Central registers and frames Sample and sampling Surveys and administrative sources Editing and imputation (micro data) and aggregates Analysis of output and macro editing Dissemination
Corporate services 1. Population and business registers and frames 6. Project management 2. Data collection and processing 5. IT-services 4. Methodology and process development 3. Dissemination
Step by step approach 1. Establishment of partnerships 2. Assessment of the current situation 3. Identification of domains for improvement 4. Formulation of a national integrated statistics programme 5. Communication and advocacy 6. Governance of the programme 7. Design of integrated systems of statistics 8. Evaluation of the programme on integrated statistics
Partnerships Establishment of partnerships Involve all agencies Agree on new roles and responsibilities in new system. Memorandum of understanding .
Assessment of the current situation Carry out an inventory of all official statistics in the domain of the integrated system. List the statistics, the content, the population, the units, the source, the periodicity, the validity of the methodology, the timeliness, the way of dissemination, the producing agency, the important users and the official status.
Identification of Domains for Improvement Select a domain that produces quick results and quick wins in quality and costs. These results convince the stakeholders that further investments are well spent. Make sure goals are attainable.
Formulation of a National Programme on Integrated Statistics First, get commitment from top- management, stakeholders and financiers on: aims and scope expected benefits rough estimate of the costs expected timeline involved parties chosen approach limited number of independent sub programmes and projects Then, develop detailed programme and basis for official agreement.
Communication and Advocacy Communication and advocacy for the programme on integrated statistics is essential, to achieve, maintain commitment and support and overcome resistance for the programme. External communication should target important stakeholders such as main users (ministries, planning offices, parliament, Central Bank) and statistics producers (ministries, Central Bank). Internal communication is essential to create support, commitment and to overcome resistance of employees and managers in the production process.
Governance of the Programme Designing, developing and implementing an integrated system of statistics is an extensive process and requires extra provisions for a good programme management. Programme boards, steering committees and programme managers chaired by the senior manager are needed.
Design of Integrated Systems of Statistics Design in detail the whole chain of all processes. Estimate: costs of development costs, time needed for development and implementation. Quantify gains Be aware of possible consequences. Before start all bottlenecks must be solved.
Evaluation of the Programme Integrated systems of statistics are value chains and the strength of a chain is determined by its weakest link. Evaluate integrated systems continuously to make sure that all targets are reached. Plan, control and monitor the total production process across the complete chain. Integrated systems of statistics are networks of information flows. It takes time and effort to get them running smoothly and a lot of attention to keep them running.
Conclusions Considerable challenges in responding to the varied and multitude of new demands on official statistics in the post 2015 era Delaying modernization will only compound the challenges Solution: move away from a fragmented and silo approach towards an integrated systems approach for producing statistical outputs The way forward is to: carefully plan and execute the redesign of the production processes at the country level Supported by a global strategy on integrated statistics
Points for discussion How can we make and communicate the business case that benefits exceed the costs of national programmes on integrated statistics in support of the post-2015 development agenda? What are the challenges and constraints for national statistical agencies in implementing the proposed organizational principles on institutional arrangements and the harmonisation of statistical production processes into corporate services for integrated national statistical systems? What are the modalities for statistical capacity building, coordination and partnerships for launching national modernization programmes on integrated statistics?
Statistical Business and Information Architecture Corporate services
Business & Information Architecture of Statistical Process 2 1 3 9 8 10 4 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Statistical Production Process 7 4 5 6 d e a c b Data Depositories a. Raw Input Base b. Input Base c. Micro Base d. Raw Output Base e. Output Base Production Phases 4. Collect 5. Process 6. Analyse 7. Disseminate
Corporate service: Business register 2 1 3 9 8 10 4 Register 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Corporate service: Bureau of Standards 2 1 3 9 8 10 4 BoS 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Corporate service: Data Collection 2 1 3 9 8 10 4 DC 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Corporate service: Large & Complex Companies 2 1 3 9 8 10 4 L&C C 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Corporate service: Project management 2 1 3 9 8 10 4 PM 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Corporate service: Methodology 2 1 3 9 8 10 4 Meth 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
Corporate service: IT Services 2 1 3 9 8 10 4 ITS 5 7 6 6. Analyse 7. Disseminate 8. Evaluate 9. Consumers of Statistics 10. Suppliers of Inputs 1. Special needs 2. Design 3. Build 4. Collect 5. Process
