Product data quality in supply chains: the case of Beiersdorf
Journal
Electronic Markets
ISSN
1019-6781
ISSN-Digital
1422-8890
Type
journal article
Date Issued
2011-06-01
Author(s)
Research Team
IWI2, CDQ
Abstract
A number of business requirements (e.g. compliance with regulatory and legal provisions, diffusion of global standards, supply chain integration) are forcing consumer goods manufacturers to increase their efforts to provide product data (e.g. product identifiers, dimensions) at business-to-business interfaces timely and accurately. The quality of such data is a critical success factor for efficient and effective cross-company collaboration. If compliance relevant data (e.g. dangerous goods indicators) is missing or false, consumer goods manufacturers risk being fined and see their company's image damaged. Or if logistics data (e.g. product dimensions, gross weight) is inaccurate or provided not in time, business with key account trading partners is endangered. To be able to manage the risk of business critical data defects, companies must be able to a) identify such data defects, and b) specify and use metrics that allow to monitor the data's quality. As scientific research on both these issues has come up with only few results so far, this case study explores the process of identifying business critical product data defects at German consumer goods manufacturing company Beiersdorf AG. Despite advanced data quality management structures such defects still occur and can result in complaints, service level impairment and avoidable costs. The case study analyzes product data use and maintenance in Beiersdorf's ecosystem, identifies typical product data defects, and proposes a set of data quality metrics for monitoring those defects.
Language
English
Keywords
Corporate Data Quality
Corporate Data Quality Scorecard
Controlling
HSG Classification
not classified
Refereed
Yes
Publisher
Springer
Publisher place
Heidelberg
Volume
21
Number
2
Start page
141
End page
154
Pages
14
Subject(s)
Division(s)
Eprints ID
128114