Bart Baesens is a professor of Big Data and Analytics at KU Leuven (Belgium) and a lecturer at the University of Southampton (UK). He has done extensive research on big data and analytics, credit risk modeling, fraud detection, and marketing analytics. He has written more than 200 scientific papers, some of which have been published in well-known international journals (e.g., MIS Quarterly, Machine Learning, Management Science, MIT Sloan Management Review and IEEE Transactions on Knowledge and Data Engineering) and presented at top international conferences (e.g., ICIS, KDD, CAISE). He has received various best paper and best speaker awards. Dr. Baesens is the author of eight books: Credit Risk Management: Basic Concepts (Oxford University Press, 2009), Analytics in a Big Data World (Wiley, 2014), Beginning Java Programming (Wiley, 2015), Fraud Analytics using Descriptive, Predictive and Social Network Techniques (Wiley, 2015), Credit Risk Analytics (Wiley, 2016), Profit Driven Business Analytics (Wiley, 2017), Practical Web Scraping for Data Science (Apress, 2018) and Principles of Database Management (Cambridge University Press, 2018). He has sold more than 20,000 copies of these books worldwide, some of which have been translated in Chinese, Russian, Kazakh, and Korean. His research is summarized at www.dataminingapps.com. He also regularly tutors, advises, and provides consulting support to international firms regarding their big data, analytics, and credit risk management strategy.