"This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way"--

Purpose: Increasing quantity and sources of data and their potential to fuel value-adding applications in Supply Chain Management (SCM) are of considerable importance for corporations. Methodology: We utilize a qualitative research design of semi-structured expert interviews. Findings: Utilizing...

This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it...

Chapter 1: Introduction -- Chapter 2: Data for Analytics in Small Businesses -- Chapter 3: Business Analytics Consulting -- Chapter 4: Business Analytics Consulting Phases -- Chapter 5: Descriptive Analytics Tools -- Chapter 6: Predicting Numeric Outcomes -- Chapter 7: Classification Techniques...

An up-to-date introduction to a market-leading platform for data analysis and machine learningMachine learning is the process by which computer algorithms can be made progressively more effective through the accumulation of data and experience. A subset of artificial intelligence, it is an...

1. Introduction and Risk Analysis in Supply Chains -- 2. Theoretical Foundations: Predictive and Prescriptive Modeling -- 3. Inventory Management under Demand Uncertainty -- 4. Uncertainty Modeling -- 5. Supply Chain Responsiveness -- 6. Managing Product Variety -- 7. Managing the Supply Risk --...

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing...

MACHINE LEARNING FOR BUSINESS ANALYTICSMachine learning --also known as data mining or data analytics-- is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts,...