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Innovations in Data Collection and Management February 2009. Geoff Bascand. Overview. Innovations can help increase efficiency, reduce respondent load and improve data quality This session will discuss: Examples of innovation Why innovation matters Challenges in innovation
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Overview • Innovations can help increase efficiency, reduce respondent load and improve data quality • This session will discuss: • Examples of innovation • Why innovation matters • Challenges in innovation • Opportunities
Modernisation of Statistics Production • Common vision - reduce time in data collection processing to provide more resource for analysis • Key themes: • The results have been mixed • Still a real commitment to standardisation • Less optimistic view on time to achieve standardisation Q) Is there an opportunity for shared learning on modernisation approaches?
Respondent Load • Need to ensure willing supply of information • Common strategies for reducing load: • Demonstrating value of information collected • Reduce load on respondents • Make it easier to respond • Identify and manage areas of unreasonable load Q) Should there be an international Respondent Load standard?
Use of administrative data & standard reporting • Reduce direct survey activity and/or increase range of statistics • Innovations: • register based Censuses • strong relationships with software providers to enable dynamic extraction of data to meet statistical needs • Statistical methods can focus on administrative data quality and plugging the gaps
Strong and targeted relationships • Understand your respondents, and develop customised solutions • The Navajo nation example, helped influence: • form design • mode of data collection • the value of promotion via third party partners e.g.. community based organisations Q) Are we rigorous enough when measuring the effectiveness of innovations?
CRM technologies • Centralised customer management enables: • Creation of targeted relationships • Identification of areas of overlap and load • Improved efficiency • Innovations include combining call management infrastructure and multi modal collection Q) Should we investigate developing an integrated CRM for respondents and data users?
Web collection • Web collection can – reduce load and costs as well as increase data quality • Several good examples of web collection • Standardisation and integration needed between modes Q) What are the opportunities for web collection beyond Census?
Operations Research • Use scarce resources wisely • Use behavioural psychology and statistical methods to: • Improve user and respondents experiences • Reduce costs in data collection • Data mining techniques • Optimising call times
Some Opportunities and a Challenge • Opportunities • Expert working group on standardisation of processes and technology? • An international Respondent Load standard? • Integrated CRM for respondents and data users? • Challenge • To use rigour when measuring the effectiveness of innovations