Unique ID: 2015059

Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Use scanner data for price statistics

The project consists in receiving scanner data from retailers which should be used in the Consumer Price Index (CPI) compilation.

Project Objective:

Pilot intended to go to production to supplement existing data, Pilot intended to go to production to improve timeliness, Pilot intended to go to production to replace existing data

Project Outcomes:

Data will be used in the regular CPI production.

Statistical Area

Price

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Scanner data
Region: Europe & Central Asia
Country Area: Luxembourg
Id Country Regional: country
Accessing Data
Accessing Data
Data Access Rights: Broader access rights
Data Coverage
Data Coverage
Data Coverage: Only a portion of all data
Coverage Geo Pop: Whole country / high % of market
Cost Implication: Free
Coverage Period: Since January 2012
Project Details
Project Details
Frequency Comments: Coverage is only for a selection of retailers, shops and products.
Data Quality
Data Quality
Quality Framework: Quality of source/input
Methodology
Methodology
Methods Used: Supervised learning, Machine learning (Random forest, etc.)
Technologies
Technologies
Technologies: GIS, Column store database, Data mining tools
Other
Other
Income Level: High-income
Iso: LU
Timeframe To Produce Indicator: NA
Frequency Comments: Coverage is only for a selection of retailers, shops and products.
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