Responses from the TDWI-Forrester Quarterly Technology Survey (May 2004) indicate that information and data quality defects fall into a variety of broad categories (see Figure 1). Respondents identified between three and four of these issues as applying to their own firms, corresponding to the major dimensions of Forrester's definition of information quality. Forrester's working definition of information quality and how to transform dumb data into quality information is: information = objective (data) + usable (data) + trustworthy (data). As attributes of the data are structured according to a defined transformation process along the three high-level dimensions of objectivity, usability and trustworthiness, information quality then improves in precisely those dimensions. We learn about the definition of information quality when IQ breaks down along the three dimensions of objectivity, trustworthiness and usability. Abstracting from and interpreting the data, the top three groups of information quality issues include:

Figure 1: Responses to TDWI-Forrester Quarterly Technology Survey

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