Adaptation of the SBR to changing external conditions Sren Schinning Andersen, Statistics Denmark ss

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Adaptation of the SBR to changing external
conditionsSøren Schiønning Andersen,
Statistics Denmark (ssa_at_dst.dk)
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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

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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

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Our point of departure re registers
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Basic data model for our SBR
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Main sources for the SBR
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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

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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 CCTAs project all the way to
  implementation

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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

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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

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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

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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

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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

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Pros and cons summing up
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Key differences between SBRs and ABRs
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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

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Thank you for your attention! Any questions or
comments?