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BUSINESS INTELLIGENCE¡GA MANAGERIAL APPROACH, 4/E (GE)
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BUSINESS INTELLIGENCE¡GA MANAGERIAL APPROACH, 4/E (GE) For courses on Business Intelligence or Decision Support Systems. 本書特¦â A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice. See the decision-making aspects: Managerial Approach. This text takes a managerial approach to Business Intelligence (BI), emphasizing the applications and implementations behind the concepts. This approach allows students to understand how BI works in a way that will help them adopt these technologies in future managerial roles. Put the concepts into action: Access to the Teradata Network. Teradata University Network (TUN) is a free learning portal sponsored by Teradata, a division of NCR, whose objective is to help faculty learn, teach, communicate, and collaborate with others in the field of BI. Teradata also supports a student portal (teradatastudentnetwork.com) that contains a variety of learning resources such as cases, Web seminars, tutorials, exercises, links to sources, and more. Business Intelligence is interconnected with TUN via various hands-on assignments provided in all chapters and is accessible to students through the portal. Understand the context: Real-world Orientation. Extensive, vivid examples from large corporations, small businesses, and government and not-for-profit agencies make the difficult concepts more accessible and relevant. International examples of global competition, partnerships, and trade are also provided throughout. These real-world case studies show students the capabilities of BI, its cost and justification, and the innovative ways real corporations are using BI in their operations. Opening Vignette: Real world case that presents a challenge, solution, and results that introduce the chapter. Each opening vignette is paired with questions for students to dig into the details and think critically about the case. Application Cases: Real world cases that emphasize concepts in the chapter, paired with discussion questions. Section Review Questions: Checkpoints for students on key concepts they should have learned in the section. Color charts, graphs, and figures: Help students visualize data, processes, and stay engaged with the content. Technology Insights: Boxed features focusing on the benefits of available technology. Resources, Links, and the Teradata University: Appear at the end of chapter and provide students additional reading, information, and cases to explore. End of Chapter: Includes a list of Chapter Highlights, Key Terms, Discussion Questions, Exercises, and an additional Application Case to help students review, test, and apply their understanding. 內容簡介 For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
¥Ø¿ý Ch1: An Overview of Business Intelligence, Analytics, and Data Science Ch2: Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization Ch3: Descriptive Analytics II: Business Intelligence and Data Warehousing Ch4: Predictive Analytics I: Data Mining Process, Methods, and Algorithms Ch5: Predictive Analytics II: Text, Web, and Social Media Ch6: Prescriptive Analytics: Optimization and Simulation Ch7: Big Data Concepts and Tools Ch8: Future Trends, Privacy and Managerial Considerations in Analytics
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