Centralised data collection: process innovations and main results in business surveys
Several National Statistical Institute in the last years started a reorganization process whose main objective was to enrich the supply and the quality of the information produced, improving the effectiveness and efficiency of the statistical processes. The deriving new organizational set-up were characterized by the centralisation of all the support services, that were clearly separated from statistical production. The introduction of a structure characterized by production sectors on the one hand and service-providing sectors on the other, pushed towards the "transversalization" and specialization of many services that were managed in a specialized manner. The result obtained consisted of a strong standardization and harmonization of all these services and in particular of data collection.The introduction of a specialist data collection, led to the review of the organizational structure of data collection processes and the redesign of many of the management procedures adopted.Process innovations introduced in structural and short-term business surveys are mainly based, on one hand, on the implementation of infrastructural solutions, as the single access point to data acquisition systems - the “Business statistical portal” - and the centralized Contact center for inbound and outbound services; both solutions are managed through a detailed calendar of each data collection activity. On the other hand, process innovations are based on the standardization and generalization of each phase of the data collection process and on the specialization of personnel devoted to specific transversal activities. Main results were the significant increase in medium response rates and the reduction of the data collection periods. A detailed description of the innovations and standardization adopted and of the consequent results will be provided.
Reference:
STS08-002
Session:
Data collection and integration
Presenter/s:
Pasquale Papa
Presentation type:
Oral presentation
Room:
MANS
Chair:
ALESSANDRA PETRUCCI, University of Firenze - Dept Statistics, Computer Science, Application, Italy, (Email)
Date:
Thursday, 14 March
Time:
10:00 - 11:00
Session times:
10:00 - 11:00