关于将扫描器数据纳入官方价格统计的实施与整合指南

2025 edition Shared ProsperityDignified Life VISIONESCWA, an innovative catalyst for a stable, just and flourishing Arab region MISSIONCommitted to the 2030 Agenda, ESCWA’s passionate team produces innovative knowledge, fosters regional consensus and delivers transformational policy advice.Together, we work for a sustainable future for all. Guide on the implementation and integrationof scanner data into official price statistics 2025 edition © 2026 United NationsAll rights reserved worldwide Photocopies and reproductions of excerpts are allowed with proper credits. All queries on rights and licenses, including subsidiary rights, should be addressed to the UnitedNations Economic and Social Commission for Western Asia (ESCWA), The findings, interpretations and conclusions expressed in this publication are those of the authors The designations employed and the presentation of material in this publication do not imply theexpression of any opinion whatsoever on the part of the United Nations concerning the legal status Links contained in this publication are provided for the convenience of the reader and are correct atthe time of issue. The United Nations takes no responsibility for the continued accuracy of that References have, wherever possible, been verified. Mention of commercial names and products does not imply the endorsement of the United Nations. References to dollars ($) are to United States dollars, unless otherwise stated. Symbols of United Nations documents are composed of capital letters combined with figures. United Nations publication issued by ESCWA, United Nations House, Riad El Solh Square, Website:www.unescwa.org. 2500777E Introduction1 1.Overview of scanner data3 A.Definition and overviewB.Challenges and access pathwaysC.Choosing the right approachD.Establishing a formal agreementE.Granularity and scopeF.Categories of productsG.Collection processH.Advantages of scanner data 2.ImplementationA.Overview B.Detailed stepsC.Methodological integration of scanner data in CPI compilationD.Practical implementation examplesE.Assessing and preparing scanner data for useF.Processing scanner dataG.Classification 3.Technical pipeline for integrating scanner data into national statistical offices operationsA.Data transfer and storage 21B.Preprocessing and preparing scanner data for integration into NSO systems23 4.Communicating with users and stakeholders25 5.Benefits, challenges and future prospects of scanner data integration27A.Benefits for CPI accuracy and policy impact27 B.Challenges and mitigationsC.Future directions and expanding scanner data use 2728 Annex. Agreement templates29 Introduction The environment in which national statisticaloffices (NSOs) operate is rapidly evolving. Theemergence of big data has created newopportunities to access, analyse and useinformation in ways that were not previouslypossible. These developments offer more dates. These scanner datasets, typicallyaggregated across consumers and time periods,have become an extremely valuable source ofinformation. They offer NSOs the potential toenhance the accuracy of CPI estimates, reduce The present publication provides practicalguidance to NSOs on how to implement andintegrate scanner data into their CPI productionsystems. It examines both the opportunities and Since the introduction of barcode scannertechnology in the 1970s, retailers have beenable to record every point-of-sale transaction, 1.Overview of scanner data A.Definition and overview immediately stored in retail managementsystems, where they can later be aggregatedand transmitted to NSOs for further analysis.Because the process is fully automated and Scanner data represent detailed transactionrecords captured directly at retail points of salethrough barcode scanners or similar systems.Each time a consumer purchases a product, thetransaction generates information such as the 2.Components of scanner data •Product information:each record containsdescriptive details such as brand, size,packaging and the product’s unique Any product that carries a barcode and isscanned at checkout contributes to scanner datacollection. The coding system used is based oninternational standards established by GS1,which assigns a Global Trade Item Number(GTIN) to each product to ensure consistent •Price paid:the data capture the actualtransaction price, including any discounts orpromotional adjustments, thereby reflecting •Quantity sold:the number of unitspurchased in each transaction provides •Store location:in some datasets, thestore’s geographical location is included, 1.How scanner data work When an item is scanned at the point of sale,the barcode printed on the product retrieves itsdetails from the store’s database. The system 3.Practical considerations The growing availability of scanner data offersnew opportunities to enhance the compilation capture detailed records of every item soldwithin a retail chain, covering all store locationsand