Robust Quality

This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions.

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies.

Features:

Integrates data science, analytics and process engineering concepts
Discusses how to create value by considering data, analytics and processes
Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches
Reviews a structured approach for analytics execution

Get Robust Quality by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Inc and it has pages.