Developing the Business Process Model

1. Developing the Business Process Model High-Level Seminar on Streamlining Statistical production Zlatibor, Serbia 6-7 July 2011 Peder NæsSenior AdviserStatistics Norway

2. Objectives for describing the business processes in more detail • Describe existing practice • Indicate the degree of standardization in the performance of the processes • Determine the coverage of appropriate guidelines • Indicate where it is necessary to allocate more resources • Develop and maintain the Business Process Model

3. Description of the processes • Input: Data/metadata/documents needed to start the process. They might be changed during the processing • Activity: Activity runs until quality is satisfactory according to guidelines or until it is decided to go back to an earlier process • Output: Data/metadata/documents produced in the process. They arise, change and/or are approved during the processing. • Guidelines:Data/metadata/documents which describe what, when, and how the process should be performed. They are not changed during the process. • Resources: people/roles & tools • Link back to earlier processes

5. Definition of colours for level of standardization • Green: Guidelines and standard tools exist and are used • Yellow: Guidelines and standard tools are under development or developed but not widely used • Red: Guidelines and standard tools neither exist nor are they under development

6. Specify needs 1 Design 2 Build 3 Collect 4 Process 5 Analyse 6 Disseminate 7 Prepare data for dissemination database 7.1 Determine need for information 1.1 Outputs 2.1 Build and enhance process components 3.1 Establish frame and registers, select sample 4.1 Classify and code 5.1 Acquire domain intelligence 6.1 Integrate production system with other systems 3.2 Set up collection 4.2 Produce product 7.2 Consult and confirm need 1.2 Frame, register and sample methodology 2.2 Micro-edit 5.2 Produce statistics 6.2 Establish output objectives 1.3 Data collection methodology 2.3 Test production system 3.3 Run collection 4.3 Macro-control 5.3 Quality assure statistics 6.3 Release and promote product 7.3 Check dataavailability 1.4 Process and analysis methodology 2.4 Finalise production system 3.4 Finalise collection 4.4 Impute for partial non-response 5.4 Interpret and explain statistics 6.4 Manage user queries 7.4 Calculate weights and derive variables 5.5 Prepare business case 1.5 Production system 2.5 Prepare statistics for dissemination 6.5 Finalise content 6.6 Statistical production process

7. Establish frame and registers select sample 4.1 Forberede datainnsamlingen 4.2 Gjennomføre datainnsamlingen 4.3 Avslutte datainnsamlingen 4.4 Establish frame for population 4.1.1 Produce detailed schedule and allocate responsibilities 4.2.1 Send out pre-collection information 4.3.1 Convert raw data to microdata 4.4.1 Follow up register owners and important data providers 4.2.2 Request data 4.3.2 Prepare data for processing 4.4.2 Update and control basis registers 4.1.2 Select and coordinate sample 4.1.3 receive data, register non-electronic data 4.3.3 Store microdata 4.4.3 Prepare pre-collection information 4.2.3 Prepare plan for processing comments, complaints and queries from providers 4.2.4 Coordinate use of external data sources 4.1.4 Verify/ control data 4.3.4 Prepare training materials and train Staff on collection 4.2.5 Monitor and assess measures for data collection 4.3.5 Pri-fill data in the collection instrument 4.2.6 Follow up non- responses and update contact information 4.3.6 Set up collection security 4.2.7 4. Collect Store raw data 4.3.7

8. Acquire domain intelligence 6.1 Produce statistics 6.2 Quality assure statistics 6.3 Iterpret and explain statistics 6.4 Prepare statistics for dissemination 6.5 Finalise content 6.6 Assess external information (media, literature etc) 6.1.1 Analyse population, coverage and response rates 6.3.1 Assess whether statistics reflect expectations 6.4.1 Propose level of release 6.5.1 Conduct meetings with internal experts with knowledge about domain 6.6.1 Produce absolute and relative numbers and indexes 6.2.1 Assess internal information 6.1.2 Compare statistics with previous periods 6.3.2 Analyse time series 6.4.2 Apply confidentiality rules 6.5.2 Store publishable data 6.6.2 Produce seasonally adjusted statistics and forecasts 6.2.2 Compare statistics with other data sources 6.3.3 Calculate accuracy measures 6.2.3 Present statistics in different ways (tables, graphs, charts) 6.4.3 Determine information and explanation to accompany statistics 6.5.3 Finalise information and explanations 6.6.3 Assess other quality Measures against quality standards 6.3.4 Produce internal analysis report 6.4.4 Produce supporting internal resources 6.5.4 Identify commentary/ story to publish 6.4.5 6.Analyse

9. Important measures • Develop and implement guidelines • Estimate total use of resources for each process • Decide on Quality indicators for each process

10. Challenges • Someone must be appointed as responsible “owner” of the various processes • In Statistics Norway we have defined owners for: 2. Develop and design 3. Build 4. Collect 7. Disseminate • No one “owns”: 1. Specify needs 5. Process 6. Analyse

11. Specify needs 1 Design 2 Build 3 Collect 4 Process 5 Analyse 6 Disseminate 7 Statistical Business Process Model