Rationalising Data Collection: Automated Data Collection from Enterprises Seminar on New Frontiers for Statistical Data Collection
Topics Introduction Automated data collection National experiences Conclusions 31/10/20122Juha-Pekka Konttinen
Introduction User needs vs. response burden vs. burden on statistical authorities More efficient ways of collecting data / new data sources Automated data collection 31/10/20123Juha-Pekka Konttinen
Automated data collection in accommodation statistics Data in XML format is generated from the respondent’s management system into a specified file The file is sent directly as an encrypted electronic transmission into NSI’s database The procedure is more or less automatic Data is validated both logically and manually, if needed, before it is transferred to the production database in NSI 31/10/20124Juha-Pekka Konttinen
31/10/20125Juha-Pekka Konttinen
Data collection in accommodation statistics 31/10/20126Juha-Pekka Konttinen
31/10/20127Juha-Pekka Konttinen
Experiences in Automated data collection 31/10/20128Juha-Pekka Konttinen Once the accommodation establishment has implemented the system Response burden is practically zero (earlier/other collection modes 30 min – 2 hours) Compilation burden reduces NSI receives data earlier More time to analyze and go through data Improved quality on statistics
Encountered problems / challenges in Automated data collection 31/10/20129Juha-Pekka Konttinen The implementation seems to be slow because Lot of different kind of software / inappropriate / no software at all Global software houses consider one country as a small market Lack of resources / interest / money
Conclusions Electronic and automated data collection has led to a notable reduction in processing and compilation burden in Statistics Finland Automated data collection has led to a major reduction in response burden in accommodation establishments Implementation problematic Improves also Feedback to establishments Timeliness and quality Comparability 31/10/201210Juha-Pekka Konttinen