Data Quality 1st Edition

Grab the attention of every data leader and practitioner with Data Quality 1st Edition by Prashanth Southekal, a practical, business-minded guide that turns messy data into trusted assets. Whether you’re an analytics manager in New York, a CIO in London, or a data steward in Bengaluru, this book speaks your language and delivers actionable methods for real-world improvement.

Explore concise, experience-driven chapters that explain how to assess data quality, design pragmatic governance, measure ROI, and build sustainable processes. Prashanth Southekal blends industry frameworks, clear metrics, and implementation roadmaps so teams can prioritize issues, reduce risk, and accelerate analytics value without getting lost in technical jargon.

You’ll appreciate the mix of strategy and tactics: diagnostic techniques to pinpoint root causes, templates for policy and stewardship, and guidance on aligning data quality programs with business objectives. This edition emphasizes measurable outcomes—improved decision-making, compliance readiness, and operational efficiency—making it an indispensable reference for enterprises across North America, Europe, and Asia.

If you need a credible, easy-to-follow manual to lead data quality initiatives, this book arms you with the language, structure, and steps to succeed. It’s ideal for data professionals, executives, consultants, and anyone responsible for turning data into a reliable competitive advantage.

Practical, authoritative, and geared for global application, Data Quality 1st Edition by Prashanth Southekal is the resource you’ll return to when quality matters most. Invest in better data practices today and watch trusted insights transform your organization.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.