Foundations of Business Analytics provides fundamental knowledge for business analytics students and professionals, starting from an understanding of the basic concepts of data, information, knowledge, and data life cycle and progressing to the management of analytics projects, the analytics architecture of an enterprise, and classification of analytics solutions.
Written by a leading expert in business analytics, this essential text is enriched with references to key business analysis concepts, such as the importance of solving the right problem and analyzing stakeholder requirements to develop successful analytics solutions. Structured as a solid foundation for those new to the field of business analytics, this text provides the perfect entry point for students, the opportunity for professionals to upskill, or for managerial professionals to gain a better understanding of the value, benefits, and success factors of analytics.
Foundations of Business Analytics is an essential resource for a wide audience including business, IT, and data science programs at North American colleges and universities that have courses focusing on introduction to business analytics, data analytics, or big data.
Foundations of Business Analytics provides fundamental knowledge for business analytics and data science students and professionals, starting from an understanding of the basic concepts of data, information, knowledge, and the data life cycle, and progressing to the management of analytics projects, the analytics architecture of an enterprise, and classification of analytics solutions. Through original examples and illustrations, readers will learn key concepts, including the importance of solving the right problem and analyzing stakeholder requirements to develop successful solutions, all within the context of complex real-world organizations striving to make data-driven decisions. Written by a leading expert in the field, this text provides an entry point for students, an opportunity for working professionals to upskill, and better understanding for management. This straightforward practicedriven book includes key terms, questions for critical thought, selfassessment quizzes, recommended reading lists, and a case study that runs throughout, all geared towards a wide audience that includes business, IT, and data science programs at North American colleges and universities, and particularly courses on introductory business analytics, data analytics, or big data.
