Handbook of Data Quality: Research and Practice
A comprehensive guide on data quality research and practice. Covers methods, frameworks, and evaluation for data quality initiatives. customer insight: mixed signals exist, no explicit sentiment due to limited data
Highlights
- data quality research-to-practice
- structured guidance for practitioners
- academic and professional applicability
Pros
- comprehensive data quality coverage
- practice-oriented guidance
- clear structure for research and practice
- readable technical references
- professional reference for data teams
Cons
- limited customer insight data
- narrow rating base (1 review)
