Business Intelligence, Analytics, and Data Science: A Managerial Perspective

Business Intelligence, Analytics, and Data Science: A Managerial Perspective serves as a foundational text for students and practitioners seeking to understand the intersection of data technology and business strategy. The book is structured to guide the reader through the evolution of decision support systems, moving from traditional business intelligence toward modern data science and predictive analytics. Its scope is broad, covering essential topics such as data warehousing, business performance management, data mining, and the application of artificial intelligence in business environments. A notable characteristic of this book is its emphasis on the managerial implications of data-driven processes. Rather than focusing exclusively on the technical implementation of algorithms, the authors prioritize how these tools facilitate better decision-making, operational efficiency, and competitive advantage. The text is organized into logical sections that transition from conceptual frameworks to practical applications, often incorporating case studies that illustrate real-world scenarios. By grounding complex technical concepts in business contexts, the book ensures that the material remains accessible to those who may not have a deep background in computer science or statistics. The inclusion of contemporary topics, such as big data and social media analytics, reflects the rapidly changing landscape of the field. The authors maintain a consistent pedagogical approach, utilizing clear explanations and structured learning objectives to reinforce key concepts. The book is well-suited for undergraduate courses in information systems or management, providing a balanced view of the technical requirements and the strategic necessity of analytics in the modern enterprise. From an Amerbach perspective, this book occupies a significant place in academic study by bridging the gap between technical data management and executive-level decision support. It provides a reliable framework for understanding how organizations can leverage their data assets to navigate complex market environments, making it a standard reference for those entering the field of business analytics.