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Adapting SBR to External Changes: Challenges, Solutions, and Learning Points

Learn about the integration of the SBR with the CABR, recent challenges faced, and how the SBR has adapted to changing external conditions. Discover key differences between SBRs and ABRs, and important learning points for Statistics Denmark.

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Adapting SBR to External Changes: Challenges, Solutions, and Learning Points

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  1. Adaptation of the SBR to changing external conditionsSøren Schiønning Andersen, Statistics Denmark (ssa@dst.dk)

  2. Outline • Background and purpose • The three basic registers - our point of departure • The integration of the SBR with the CABR • The sources • Recent challenges • Pros and cons • Key differences between SBRs and ABRs • Overall learning points

  3. Purpose • To describe: • The interface and integration between our SBR and the main sources, especially the CABR • Recent challenges to our SBR and how we have tried to cope with these challenges • How these changes have affected our ability to fulfil the objectives of the SBR (coverage, quality, usage, costs) • Our main learning points from these challenges

  4. Our point of departure re registers

  5. Basic data model for our SBR

  6. Main sources for the SBR

  7. Six recent challenges to our SBR • Change to a key administrative source • Change to the underlying business model • Adaptation of the SBR to 1) and 2) • Challenges to content from political strong users • New supra-national requirements • In-house requirements for improved productivity

  8. Challenge 1: Change to a key source • Cause: • e-Income from CCTA register replaces old source • Obligatory monthly employment data at LKAU level • Effect: • Re-design of process and IT system (1 man-year) • Improvements to timeliness/frequency, relevance and accuracy • Increased usage of SBR • Conclusion: • Pro-active communication at an early stage is key • Data definitions must comply with statistical needs • The CCTA must have self-interest in data quality • Follow CCTA’s project all the way to implementation

  9. Challenge 2: Change to the business model • Cause: • “Web-reg” due to new administrative usage of CABR • Cost reductions in the CABR • Change in the underlying perception re BRs • Effect: • LLUs were no longer followed over time – fundamental change to the business logic • High quality potential, but also high risks. We will see … • So far, it has meant more work for SD • Conclusion: • Keep statistical concepts and needs on the agenda – try to give as much as possible in return • Exploit the advantages and avoid the disadvantages

  10. Challenge 3: Adaptation of the SBR • Cause: • Necessary response to challenge 1 and 2 • Effect: • Functionality re LKAUs had to be built-up in SBR instead • Less tight relation with CABR – more freedom … • Work processes changed from administrative to statistical units • Extremely costly compared to available resources • Conclusion: • Keep it (more) simple – it is very hard to get resources to change very complex systems that only benefits SD • I.e. we need to be more realistic and modest when we define requirements

  11. Challenge 4: Strong political pressure on ABR • Cause: • Pressure to re-use data in order to reduce burden • Digitalisation and productivity of the public sector • Data must fulfil more purposes – also from strong players • Effect: • Data will have direct effects on data subjects • The relative weight of statistical needs will diminish • New incentives and sources of errors are introduced • Net quality effects are difficult to assess • Conclusion: • Monitoring of new initiatives • Proactive communication and advice to admin. users • The overall system must remain sustainable

  12. Challenge 5: New supra-national requirements • Cause: • New EU Regulation with additional requirements (EGs) • Data needs are not covered by the CABR • No other administrative source (share holder register) • Effect: • We must rely on commercial data • Data on EGs and MNEs are already in high demand • Conclusion: • Ensure that new supra-national requirements for the SBR are incorporated in a coming administrative register • Avoid parallel systems becoming permanent

  13. Challenge 6: How to do more with less … • Cause: • Recurring cost reductions in the NSI • Currently, our SBR do not cover all units in agricultural surveys - a separate farm register is maintained • Effect: • Integration of missing agricultural units into the SBR • Actuality and accuracy of data on farms will increase • Coherence will improve • Conclusion: • The main sources/systems must be exploited to maximum extent • Redundant data and systems should be discontinued • Traditions and “cultures” are difficult to change

  14. Pros and cons … summing up

  15. Key differences between SBRs and ABRs

  16. Key learning points for SD • In order to better fulfil our role and objectives we must: • Manage our partnerships better – we are not strong enough alone • Communicate proactively – we cannot wait for others to contact us • Always be part of the solution – not part of the problem • Manage our risks better – otherwise they seem to manage us • Keep things simple – balance ambitions with abilities

  17. Thank you for your attention! Any questions or comments?

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