Education > eBook[PDF] > eBook [PDF] Business Intelligence Analytics Data Science and AI A Managerial Perspective 5th Edition (All)

eBook [PDF] Business Intelligence Analytics Data Science and AI A Managerial Perspective 5th Edition Ramesh Sharda, Dursun Delen, Efraim Turban

Document Content and Description Below

Business Intelligence, Analytics, Data Science, and AI: A Managerial Perspective (5th Edition) by Ramesh Sharda, Dursun Delen, and Efraim Turban is a comprehensive, executive-level textbook published by Pearson. It bridges technical data engineering with high-level corporate decision-making. Key Textbook Details • Authors: Ramesh Sharda, Dursun Delen, and Efraim Turban. • Core Focus: Preparing future leaders to understand the business-related impacts, costs, capabilities, and justifications of analytics and AI tools. • Key ISBNs: Print: 9780137931286 | Digital: 9780137931361. Core Structural Framework The textbook organizes business analytics around the industry-standard INFORMS classification, dividing data technology into three distinct layers: • Descriptive Analytics: Examining past data to understand what has already happened through reporting, dashboards, and data warehousing. • Predictive Analytics: Using statistical modeling, data mining, and machine learning to forecast future trends. • Prescriptive Analytics: Utilizing simulations and optimization choices to recommend the best actionable path forward. What is New in the 5th Edition? • Consolidated Content: Combines the frameworks of Analytics, Data Science, and Artificial Intelligence (11th Ed.) and Business Intelligence, Analytics, and Data Science (4th Ed.) into a single definitive text. • Generative AI & Modern Tech: Adds four brand-new chapters detailing modern disruptions like ChatGPT, conversational AI, the Metaverse, and cloud-based analytics pipelines. [] • Analytics Tools Chapter: Features a dedicated guide comparing practical deployment tools such as Python, R, KNIME, and JMP. • Data For Good: Introduces fresh real-world case studies exploring how analytics optimize sports, agriculture, and non-profit logistics. • Responsible AI Ethics: Heavily expands on data privacy, algorithmic bias, IP protection, and administrative accountability. Table of Contents Summary The 5th edition provides a comprehensive overview of AI, data science, and BI across ten core chapters. Key topics include: [] • Foundations: Overview of BI, analytics, and AI. • AI & Machine Learning: Concepts, drivers, applications, and deep learning. • Core Analytics: Descriptive (data, warehousing, visualization) and Predictive (data mining, text, web/social media) methods. • Prescriptive Analysis: Optimization and simulation techniques. • Modern Trends: Tools landscape and future AI-based trends. Are you looking for a specific chapter summary, the digital eTextbook format, or case study details from this book

[Show More]

Last updated: 2 weeks ago

Preview 4 out of 727 pages

Buy Now

Instant download