Process reengineering at Statistics Sweden Bo Sundgren 2007-04-24.

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Process reengineering at Statistics Sweden Bo Sundgren 2007-04-24

description

Major projects LOTTA (standardisation of processes) EMMA (improvement of economic statistics Reduce response burden by 25%

Transcript of Process reengineering at Statistics Sweden Bo Sundgren 2007-04-24.

Page 1: Process reengineering at Statistics Sweden Bo Sundgren 2007-04-24.

Process reengineering at Statistics Sweden

Bo Sundgren2007-04-24

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Four key-words

• Customer focus• Efficiency• Standardisation• Quality control

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Major projects

• LOTTA (standardisation of processes)• EMMA (improvement of economic statistics• Reduce response burden by 25%

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Some ongoing projects (1)• Development of a standardised tool for construction of

questionnaires • Development of an XBRL-based data collection process for tapping

input data from accounting systems based on the accounting system standard BAS, used by Swedish companies

• Establishment of a strategy for optimisation of the number of respondent call attempts

• Development and implementation of systematic procedures for monitoring interviewers

• Development of a standardised process for coding and a system for systematic quality control of the coding process

• Establishment and implementation of an optimal strategy for data editing based upon standard methods and tools for selective editing

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Some ongoing projects (2)• Systematisation and streamlining of the throughput processes for

complex products like Price Indexes and the National Accounts • Selection of a limited number of estimation and tabulation tools to be

used by all surveys • Improvements of the standard tool for variance estimation (CLAN)

and estimation of order statistics (EOS) Streamlining and implementation of a standard process for publishing and communication of statistics, based on the standard system for output databases (SSD), including the PC-AXIS tool and MetaPlus for metadata management

• Development of a standardised system for generation/collection, management, and use of process data

• A maintenance model will be put in place to ensure the quality and reliability of the tools and services in operation

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