kroenke_umis4_ppt_ch09
79 Pages

kroenke_umis4_ppt_ch09

Course Number: IS 3100, Fall 2011

College/University: Kennesaw

Word Count: 3510

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Using MIS 4e Chapter 9 Business Intelligence Systems Were Sitting on All This Data Anne proposes to combine membership data and publicly available data in order to better target marketing efforts for Fox Lake weddings Information will allow her classify promotions, increase wedding revenue Scenario video Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 9-2 Chapter Preview The information...

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Business Intelligence Systems Using MIS 4e Chapter 9 Anne proposes to combine membership data and publicly available data in order to better target marketing efforts for Fox Lake weddings Information will allow her classify promotions, increase wedding revenue Were Sitting on All This Data Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall Scenario video 9-2 The information systems described in Chapters 7 and 8 generate enormous amounts of data. Most of these data are used for operational purposes, such as tracking orders, inventories, payables, and so forth. These operational data have a potential windfall: They contain patterns, relationships, clusters, and other information that can facilitate management, especially planning and forecasting. Business intelligence systems produce such information from operational data. This chapter surveys the most common business intelligence and knowledge management applications, discusses need and purpose for data warehouses, and explains how business intelligence applications are delivered to users as business intelligence systems. Youll learn tools and techniques that Fox Lake can use to identify guides that contribute most (and least) to its competitive strategy, and some of the potential benefits and risks of mining credit card data. Chapter Preview 9-3 Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall Q1 Why do organizations need business intelligence? Q2 What business intelligence systems are available? Q3 What are typical reporting applications? Q4 What are typical data-mining applications? Q5 What is the purpose of data warehouses and data marts? Q6 What are typical knowledge-management applications? Q7 How are business intelligence applications delivered? Q8 2021? Study Questions Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 9-4 Businesses collect massive amounts of data Important patterns of relationships and valuable information buried in that data.buried in that data.

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