Relational Database Design and Implementation, 4th Edition

Chapter 25

Data Quality

Abstract

This chapter covers issues associated with data quality. It begins with a discussion of the importance of data quality (being able to trust the accuracy of data in a database). The remainder of the chapter covers recognizing and handling specific types of data quality problems. The last section looks at the relationship between an organization’s employees and data quality.

Keywords

data quality

complete data

incorrect data

incomprehensible data

inconsistent data

As early as the 1960s, there was an expression in computing that most people in the field agreed was true: “Garbage in, garbage out.” (It was abbreviated GIGO and was pronounced “guy-go.”) We worried about the effect of the quality of input data on the output ...