Chapter 11 - Information Systems A Managers Guide to...

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11-1 Information Systems: A Manager’s Guide to Harnessing Technology
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11-2 This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA
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11-3 Chapter 11 The Data Asset: Databases, Business Intelligence, and Competitive Advantage
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Learning Objectives Understand how increasingly standardized data, access to third- party datasets, cheap, fast computing and easier-to-use software are collectively enabling a new age of decision making Be familiar with some of the enterprises that have benefited from data-driven, fact-based decision making Understand the difference between data and information Know the key terms and technologies associated with data organization and management 11-4
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Learning Objectives Understand various internal and external sources for enterprise data Recognize the function and role of data aggregators, the potential for leveraging third-party data, the strategic implications of relying on externally purchased data, and key issues associated with aggregators and firms that leverage externally sourced data Know and be able to list the reasons why many organizations have data that can’t be converted to actionable information Understand why transactional databases can’t always be queried and what needs to be done to facilitate effective data use for analytics and business intelligence 11-5
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Learning Objectives Recognize key issues surrounding data and privacy legislation Understand what data warehouses and data marts are, and the purpose they serve Know the issues that need to be addressed in order to design, develop, deploy, and maintain data warehouses and data marts Know the tools that are available to turn data into information Identify the key areas where businesses leverage data mining Understand some of the conditions under which analytical models can fail 11-6
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Learning Objectives Recognize major categories of artificial intelligence and understand how organizations are leveraging this technology Understand how Wal-Mart has leveraged information technology to become the world’s largest retailer Be aware of the challenges that face Wal-Mart in the years ahead 11-7
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Learning Objectives Understand how Harrah’s has used IT to move from an also-ran chain of casinos to become the largest gaming company based on revenue Name some of the technology innovations that Harrah’s is using to help it gather more data, and help push service quality and marketing program success 11-8
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Introduction Increasingly standardized corporate data, and access to rich, third-party datasets, all leveraged by cheap, fast computing and easier-to-use software, are enabling an age of data-driven, fact- based decision making Business intelligence (BI): A term combining aspects of
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