Data Quality: The Accuracy Dimension
An informative resource for any data management staff, IT management staff, and CIOs of companies with data assets.
TABLE OF CONTENTS Data Quality: The Accuracy Dimension
Chapter 11: Complex Data Rule Analysis
This chapter is a continuation of the last chapter. This one deals with data rules that require a set of business objects to test over instead of looking inside just one business object at a time. Most of the information of the previous chapter applies equally to this chapter.
This is just another part of the process of trying to find as many data rules as possible that can be used to find evidence of inaccurate data. Data can look correct completely within all business objects, satisfying value, structure, and data rule tests but incompatible in the context of data in other business objects. Because these data rules involve multiple objects, finding incompatibilities does not identify the offending data, it simply narrows the amount of data within which the wrong data exists.
11.1 Definitions
The terms business object and data rule were defined in the previous chapter. What remains is a definition of a set of business objects.
Business Object Set
This is a collection of business object instances that can be isolated in terms of columns of the objects. Each object instance remains a discrete entity within the set. The set can include multiple instances of the same business object type; for example, all inventory rows for each discrete part type. They can also include rows from multiple different business object types; for example, supplier information combined with orders sent to each supplier. A business object set may include all of the...
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