Digital Transformation in Statistical Production: Alternative Data Sources & Efficiency Gains
Explore the integration of alternative data sources like the Hub into statistical production, facilitating a shift towards digitalization for enhanced efficiency and consistency. Discover a step-wise approach, benefits, and insights on coordinating questionnaires for streamlined data collection processes.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Experiences regarding the use of alternative data sources (such as the Hub) in statistical production. Per Andreasson @SCB_nyheter facebook.com/statisticssweden
Digitalization in data collection Transformation to digital format From human to human Paper forms Fr n machine to machine Filie transfer From human to machine Web forms Traditional paper collection Unbroken digital chain
A step-wise approach to digitalization Half-digitalized solution: Web questionnaires. Semi-automated solution: Some data provided from systems, but manually completed. Fully automated solution (Machine-to-machine), where data is sent from a business system or a Hub to an authority automatically, without any manual work needed.
The gains for us Better possibility to combine and reuse sources Less time devoted to micro editing and re- contacts Better consistency in the statistical system
Coordinating questionnaires The vision Data collection Output Sources Data Warehouse Metadata Warehouse Output A 1 Output B Output C Output D 2 Output E Output F 3 Output AC Output G 4 Output CDF
Difference in definitions between Surveys Employed Survey 534 813 Moms, LAPS 547 242 LAPS-NR 502 700 KS? 547 298 KS? 548 336 FEK, SAMO, IVP, INFI, TFF 546 518 FEK Regionalt 547 531 FEK Eurostat 548 273 NR 502 625 AKU
Company X Number of employees: 159 Monthly surveys: Kortperiodisk syssels ttningsstatistik - Marie Intrastat - Marianne KonjInd Stefan och Ylva Ksju - Marie Konjunkturstatistik ver vakanser - Jonas KLP - Marie PPI Quarterly surveys: Kvartalsvis br nslestatistik - Claes Investeringsenk ten - Stefan Industrins lager - Stefan UHT - Stefan Annual surveys: SLP BONUS - Jonas FEK - Ylva F retagens utgifter f r IT - Ylva ISEN - Ylva IVP - Stefan Utlands gda f retag - Stefan
Conclusions Digitalization is coming! Both automated and semi-automated necessary Cooperation is a key Needs thinking in new ways
Thank you Any questions? HASTA LA VISTA!
