Ensuring customer data quality on the Web
Article Abstract:
Preventing inaccurate and incomplete customer information from entering databases is one of the most biggest problems faced by business enterprises. Customers make data-entry mistakes roughly 40% of the time in Internet World Wide Web site ordering systems either becuase of keying errors, misinterpretation of questions or a failure to enter correct information such as apartment numbers. Companies must effectively address customer data quality issues because the key to successful electronic commerce lies in package delivery and customer service.
Publication Name: DM News
Subject: Construction and materials industries
ISSN: 0194-3588
Year: 1999
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Transform endless amounts of data into actionable intelligence
Article Abstract:
The application of genetic algorithm technology to predictive modeling technique in addressing the challenges relating to the analysis of demographic, census and transaction data in understanding customer behavior is examined.
Publication Name: DM News
Subject: Construction and materials industries
ISSN: 0194-3588
Year: 2004
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Seuss gives lesson in customer data
Article Abstract:
Strategies to be followed in winning customers are offered by Seuss.
Publication Name: DM News
Subject: Construction and materials industries
ISSN: 0194-3588
Year: 2004
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