Data Quality A Complete Guide - 2021 Edition

Data quality is the foundation of reliable decision making, yet most organizations still struggle to keep their data clean, consistent, and trustworthy. In today's fast-paced market, even a small error can cascade into costly operational delays, regulatory penalties, and lost customer confidence. The book follows a structured Self-Assessment methodology built around the seven RDMAICS criteria - Recognize, Define, Measure, Analyze, Improve, Control, Sustain. Each criterion contains dozens of targeted questions that the reader rates on a 1-5 scale. The responses are automatically plotted on a radar chart Scorecard that instantly shows which data quality domains need attention. The format is designed so that professionals with limited data-quality experience can quickly gauge their organization's performance. Included Professional Toolkit (40-48 Practitioner Tools): Generated fresh at the time of purchase so the content reflects the latest data quality standards and practices. The toolkit is organized into ten sections: Getting Started, Assessment and Planning, Models and Frameworks, Processes and Handoffs, Operations and Execution, Performance and KPIs, Quality and Compliance, Sustainment and Support, Advanced Topics, and Reference. It contains maturity assessments with scored improvement paths, gap analyses, decision frameworks with scoring criteria, implementation roadmaps, stakeholder maps, process runbooks, KPI dashboard templates, risk matrices, audit checklists, quick reference cards, and more. Every Excel file includes three sheets (Instructions, Template, Pro Tips and Common Mistakes). Every PDF includes Pro Tips, Common Mistakes, and a Quick Reference section. All tools are specific to data quality, not generic templates, and are delivered in approximately 28 Excel spreadsheets and 16 PDF guides ready for immediate use. Each purchase also includes Lifetime Updates. As data quality practices evolve, buyers receive refreshed content and updated toolkit materials, ensuring the guidance remains current and relevant. This guide is ideal for data quality managers, compliance officers, and business analysts who need a practical, hands-on method to evaluate and improve data integrity across their organization. It is also valuable for IT project leads tasked with implementing data-quality initiatives or for senior executives who must report on data reliability to regulators and stakeholders. Developed by The Art of Service, business process architects serving over 100,000 professionals across 160 countries since 2000. Every book and toolkit draws on 25 years of operational excellence research and a continuously updated knowledge base spanning hundreds of industry frameworks.