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    Continental Airlines Storytelling Workshops Definition Development of line managers’ ability to cast corporate strategy as a story boosts emotional engagement of managers and staff. Company Profiled Industry: Airlines FY2005 Sales: US$11.2 Billion Headquarters: Houston‚ Tex. Applicability This practice may be of interest if any of the following are true: Our internal messaging is bland or fails to engage our employees. Our managers are uncomfortable or ineffective in appealing to employees’ emotional

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    Business Intelligence

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    Business intelligence (BI) processes monitor and analyze business transaction processes to ensure that they are optimized to meet the business goals of the organization. These goals may be operational goals that affect daily business operations‚ tactical goals that involve short-term programs such as marketing campaigns‚ or strategic goals that entail long-term objectives like increasing revenues and reducing costs. This is a kind of predictive analytics which helps to give idea about most critical

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    History of Continental Airlines Continental Airlines began service in 1934 as Varney Speed Lines‚ named after one of its initial owners‚ Walter T. Varney operating out of El Paso‚ Texas and extending through Las Vegas‚ Albuquerque and Santa Fe‚ New Mexico to Pueblo‚ Colorado. The airline started with Lockheed Vegas‚ a single engine plane that carried four passengers. The airline later flew other Lockheed planes‚ including the Lodestar. It was renamed Continental on 1 July 1937 after a new owner

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    Fly - by - Night Airlines

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    PAGE Page 1.0 Executive Summary 2 2.0 2.1 2.2 2.3 2.4 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 Case Study 1 (Simpson and Selph LTD) Introduction Question 1 Question 2 Question 3 Case Study 2 (Fly – by – Night Airlines) Introduction Question 1 Question 2 Question 3 Question 4 Question 5 Question 6 4 4 6 7 8 10 10 11 12 13 15 15 15 4.0 Conclusion and Recommendation 15 5.0 Bibliography 16 6.0 Declaration by Student 17 1.0 EXECUTIVE SUMMARY This assignment consists

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    Fly Away Airlines

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    RM Flyaway Airlines ch13 1. The two measurements are an interesting insight into the mind of the consumer and the researcher torn between two types of different approaches. Looking at the results there are some drastic differences in the position of companies in the rankings. For example‚ Southwest Airlines went from second to last in the 19th spot all the way to second place. There are some major discrepancies for a leap like that to occur. One of the ways these approaches are similar is

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    information systems to work‚ a wide acceptance from the staff that would use the technology is needed. What will bring this technology to its downfall would be the minimal involvement of its users‚ basically stating that the changing processes within a business is strongly resisted by the staff. One area of great concern that requires the need

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    Business Intelligence

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    A Seminar Report on BUSINESS INTELLIGENCE Prepared by: Guided By: Arpan Solanki Prof.Yagnik A. Rathod 100410107063 Assistant professor TY C.E SVIT-VASAD Certificate

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    Business Intelligence

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    Data mining and OLAP are the most common Business Intelligence technologies. The term Business Intelligence refers to computer based methods to identify and extract useful information from business data. Online Analytical Processing commonly known as OLAP provides summary data and generates rich calculations. OLAP is a class of systems that provide answers to multidimensional queries. OLAP is typically used in business reporting for sales‚ marketing and various such domains. OLAP enables the users

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    Fly by Night Airlines

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    page 5 Deprecation page 5 Operating cash flows page 5 NPV page 5 5. Evaluation page 6-7 6. Appendix Introduction Fly-by-night Airlines is a major commercial air carrier offering passenger service between most large cities in the US. Its profitable route is between Los Angeles and New York and the firm is considering replacing

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    Business Intelligence

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    Business Intelligence Definitions • Data mining (knowledge discovery in databases): – Extraction of interesting (non-trivial‚ implicit‚ previously unknown and potentially useful) information or patterns from data in large databases • Data mining helps end users extract useful business information from large databases • Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. • The goal of data mining may be to allow a corporation

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