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Tasks of the Business Statistics Data Collection Department

Business Statistics Data Collection Department

 

1. Areas of expertise of the Business Statistics Data Collection Department:
1.1.  annual and infra-annual business statistics (performance, expenditure, investment) and annual structural statistics,
1.2.  statistics on earnings, labour costs and other labour statistics,
1.3.  other business statistics surveys of enterprises (materials statistics, product statistics, construction statistics, statistics on industrial sites, statistics on the internal turnover of economic units).
 
2. Tasks of the Business Statistics Data Collection Department according to the statistical data production process:
2.1.  in the field of data collection organisation tasks: to ensure the availability of the personal and technical conditions necessary for carrying out data collection, to co-operate in notifying respondents and data holders of their data provision obligations, to produce questionnaires and auxiliary materials;
2.2.  in the field of data collection and delivery:
  2.2.1. to collect statistical data and their metadata;
  2.2.2. to code the reasons for missing questionnaires or missing data;
  2.2.3. to complete the data collection;
2.3.  to provide professional and technical support for the activities of data collectors and data providers;
  2.3.1. to inform respondents newly involved in the monitoring, and to establish professional contacts;
  2.3.2. to urge (by telephone, via e-mail or in letter) the filling out of non-received questionnaires;
  2.3.3. to perform tasks related to the ELEKTRA Call Centre;
  2.3.4. in the field of validation: reconciliation of errors detected during validation with data providers;
2.4.  in the field of coding: to code collected data according to nomenclatures and classifications;
2.5.  in the field of micro-validation or meso-validation:
  2.5.1. comparison of collected elementary data according to pre-defined validation criteria;
  2.5.2. comparison of elementary-level data with data from other data sources;
  2.5.3. identification of outliers;
  2.5.4. correction of coding errors;
  2.5.5. meso-validation;
2.6.  in the field of editing:
  2.6.1. reconciliation of detected errors with data submitters;
  2.6.2. correction of errors according to pre-defined rules;
  2.6.3. to complete data preparation;
2.7.  to carry out the revision tasks of numeric codes (statistical principal activity, category of number of employees) related to register maintenance;
2.8.  to co-operate in design and development tasks of surveys;
2.9.  to maintain contacts with respondents in respect of all events arising during the preparation and implementation of surveys.