Dursun Delen – författare

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance.

Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen''s conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

For courses in decision support systems, computerized decision-making tools, and management support systems.

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.