Unique ID: 2015092

Division: Statistical Methods Unit
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Use of scanner data for price statistics

Use of scanner data for price statistics

Some of the biggest convenience stores give us aggregated data in the food sector.

Project Objective:

For the production of statistics

Project Outcomes:

Price statistics.

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Scanner data
Region: Europe & Central Asia
Country Area: Switzerland
Id Country Regional: country
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Data Coverage
Data Coverage
Data Coverage: All available data
Coverage Geo Pop: Whole country / high % of market
Cost Implication: Free
Coverage Period: 2008 onwards
Data Quality
Data Quality
Quality Framework: Quality of output statistics
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Accessibility, Relevance, Institutional/Business Environment, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources
Validation Comments: The results based on scanner data were produced in parallel to the existing survey in order to validate the results.
Methodology
Methodology
Methods Used: Traditional statistical methods
Technologies
Technologies
Technologies: Other
Technologies Comments: Classical statistical tools
Other
Other
Income Level: High-income
Iso: CH
Timeframe To Produce Indicator: NA
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