Digital solutions are needed to develop advanced analytics applications in different industries. The main objectives of this two volume set are presenting the scientific concepts and providing industrial case studies for different applications of advanced analytics, which can be grouped into three main areas namely descriptive, predictive and prescriptive analytics. Main prerogatives include improving understanding of the business value and applicability of different analytic approaches, and business framework to assess the value, cost, and risk of potential analytic solutions. It covers pertinent aspects of data analytics for mother and technology industries.

• Provides a concise overview of state of the art for mother and technology industries executives and managers
• Highlights and describes critical opportunity areas for industries operations optimization
• Explains how to implement advanced data analytics through case studies and examples
• Provides approaches and methods to improve data-driven decision making
• Brings experience and learning in digital transformation from adjacent sectors

This two volume set aims at researchers, professionals, graduate students in data science, manufacturing, automation and computer engineering