Authors:
Tanko Ishaya
1
and
Julian Rigneau
2
Affiliations:
1
The University of Hull, United Kingdom
;
2
Tifauve, France
Keyword(s):
Customer Relationship Management, Data quality, Data metrics, Data mining and e-Commerce.
Related
Ontology
Subjects/Areas/Topics:
B2B, B2C and C2C
;
B2C/B2B Considerations
;
Business and Social Applications
;
Communication and Software Technologies and Architectures
;
e-Business
;
Enterprise Information Systems
;
Market-Spaces: Market Portals, Hubs, Auctions
;
Process Design and Organisational Issues in E-Commerce
;
Public Sector Applications of E-Commerce
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
The quality of web data has become a critical concern for organisations and it has been an active area of Internet Computing research. Despite its importance and many years of active research and practice, the field still require ways for its assessment and improvement. This paper presents a framework for assessing the quality of customer web data and a well defined set of metrics for quantifying its quality. A prototype has been designed and implemented to demonstrate the usefulness of the data lifecycle and metrics for assessing the quality of customer data.