ENDNOTES
1 This chapter aims to discuss data quality issues from the perspective of customer data integration and master data management. For a more thorough look at data quality as an enterprise practice, see: David Loshin, Enterprise Knowledge Management: The Data Quality Approach (San Francisco: Morgan Kauffman, 2001).
2 Study reported in InformationWeek, June 7, 2004.
3 Study reported in Internet Retailer, November 2002.
4 Study reported in Frontline Solutions, October 2003.
5 Daniel Sorid, “Unit’s Blunder Sent Craft into Martian Atmosphere,” www.space.com, September 30, 1999.
6 Surveys were distributed to attendees of two Data Warehousing Institute conferences in February and May, 2004; 171 responses were tabulated.
7 How to define which subset of data to begin with should be dictated by your business requirements. For instance, you might start with a subset of data sources such as data from the marketing automation system, then move to the Web server, and so on. Another approach might be defining a subset of data elements, for instance, customer contact information, and adding new attributes like privacy preference, account, and purchase information over time.
8 Malcolm Wheatley, “Operation Clean Data,” CIO, July 1, 2004.
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