DATA MODEL QUALITY

An initial starting point for ensuring that data is of good quality is to have a conceptual data model that is both complete and correct. There are a number of approaches that may be taken to the assessment of the quality of a conceptual data model; some of these approaches are purely qualitative, whilst others are quantitative, applying statistical techniques to the numbers of entities, attributes and relationships in the model. Many of these approaches have been reviewed in (Genero and Piattini, 2002).

An easily applied qualitative model for the assessment of the quality of a data model amongst those reviewed by Genero and Piattini is that proposed by (Reingruber and Gregory, 1994), which is shown in Figure 7.2.

FIGURE ...

Get Principles of Data Management now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.