Synopsis
Discover how data quality becomes a built‑in part of your data objects—and why that matters for real decisions.
This book introduces the concept of quality data objects, where each datum carries its own quality description and rules for measuring it.
It explains how to structure data so you can assess quality without extra guesswork. You’ll learn about key quality dimensions like currency, volatility, timeliness, accuracy, completeness, and credibility, and see how they guide retrieval and use of data products. The approach blends object‑oriented ideas with practical methods to design, manufacture, and deliver data products that meet specific quality needs.- How to attach quality descriptions to data objects and what is‑a‑quality‑of means for linking data and quality
- Methods to measure quality dimensions such as timeliness, accuracy, and completeness
- Algebraic tools to compare, retrieve, and combine quality data objects
- Guidance on turning quality data objects into usable data products
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