Business Case Studies in Applied Data Science: Supply Chains, eCommerce, and Consumer Lending

Business Case Studies in Applied Data Science: Supply Chains, eCommerce, and Consumer Lending provides students with a unique source of practical data science exercises with real-world data and enterprise platforms. Students are provided with a rich explanation of how data science practices can be helpful in business decision-making and problem-solving endeavors. The interactive ebook format allows students to read the text of each chapter and engage with digital learning activities throughout-including flashcards, videos, drag-and-drop skill-building activities, quizzes, and links out to additional resources-all within a single ecosystem. The ebook is organized into three modules, which explore supply chains, eCommerce, and consumer lending, respectively. Each module is built around a unique case study, with each referencing a different enterprise platform and dataset. The chapters in Module 1 address the economics of supply chains, operations and Porter's Five Forces, risk management, supply and demand, and more. In Module 2, students learn about the economics of bricks and clicks, the logistics of the digital economy, marketing and performance indicators, and accounting. The final module discusses the economics of consumer lending, finance and the process of creating a mortgage-backed security, and risk management and market risk versus credit risk with MBS.