Reducing respondents burden by Czech Statistical Office - technological way

1. Reducing respondents burdenby Czech Statistical Office - technological way European conference on administrative simplification in official statistics, SIMPLY 2010 December 2, 2010 Ghent by Ivo Makalouš

2. What is expected from Statistical Information System (SIS)? • High quality standards • Sufficient detail • Efficiency • Driven by Meta-data • User friendly approach (externally, internally)

3. Why to reduce administrative burden? • EU and national policy (strategic documents) • NSI (resp. burden by CzSO is 0,7% of total CZ admin. burden) • Restriction of public budget • Boost respondent motivation • Respondents • Reduce burden • Improve of data quality

4. How to reduce administrative burden? • Provide users with appropriate data&metadata • Increase NSI labour productivity • Replace statistical surveys by Admin. data • Provide respondents with user-friendly technological component households business, institutions

5. Czech Statistical Office approach • Reduction of CzSO staff by 24% in 3 years • Provide users with public database • Reduction of respondents number x items by 33% since 2005 (business statistics) • Reduction of respondents number (households 14%) • Dialog with respondents • Permanent - during data collecting • Formal – respondents‘ survey

6. Respondents needs and expectations (survey results) Difficult to understand Improving of electronic way Early deadline Positive approach Heavy burden Simplification Decreasing amount of forms Negative approach 2009 Too detailed information Use of administrative data 2006 No PC or internet Government cooperation Multiplication of similar items Complicated SBS survey Stability of content No monitoring Complicated estimation 0,00% 2,00% 4,00% 6,00% 8,00% 10,00%

7. Technological component and changes of SIS

8. Household surveys • Implemented • Integration of survey mode (CAPI) • CAPI also used for telephone interviewing • Interviewer network uses NB or tablet • Planned • CATI – distributed call centrum • Case management system

9. Field survey (business statistics) • Agriculture • Integration of SW with household surveys • Price statistics • Independent on-line system (PDA)

10. Business statistics (1/2) • Implemented • Electronic data input (CASI) – used by respondents in 28% cases with full checks • OCR used in 4% of cases • ISDB – e-government data transmission system • Respondents‘ portal (surveys, classification, help) • Integrated Evidence System (contacts and paradata)

11. Business statistics (2/2) • Prepared • Simple forms for simple survey (active PDF with basic checks) • Personalized forms prepared according to respondents needs • Planned • Web forms with access authorisation • Input channel selection by respondent

12. Respondents‘ limits • Only user-friendly SW has a chance • Only right sized technology is usable • Part of respondents • has no PC or iNet • is not familiar with a new SW • has corporate security policy (iNet access) • needs an assistance for installing SW or setting parameters or for similar change

13. Information and technological component

14. indicators snnaps hots 0,1 .. n Information and technological component(Data Flows – Data processing) Information on reporting unit Data from reporting units Electronic data capture from reporting units Administra-tive data Statistical tasks Expert estimates RECORDS Data repository (transaction and processing database) ; Central processing of statistical tasks     Data control (validation) REGISTERS SMS ETL Task 1 Task 2 Values of indicators Data warehouse (statistical variables snapshots 0 .. n) Task n

15. indicators snnaps hots 0,1 .. n Information and technological component(Data Flows - Dissemination) SMS REGIS-TERS Expert estimates Values of indicators Data warehouse (statistical variables snapshots 0 .. n) Central processing of statistical tasks Confirmation procedures Public data marts (PDM) Data marts External users Internal users

16. Thank you for your attention