MBA 503.01 – Data Analysis and Decision Making Spring 2013 M ondays & Wednesdays : 1 0 : 00 a .m. – 1 1 : 2 0 a .m. H arriman Hall Room 10 8 M . Shane Higuera ‚ Ed.D. E - Mail: s hane@ sbawebsite.net T elephone & T ext : (631) 8 07 - 7904 Goals of the Course This course is an introduction to data analysis and decision making in business. In your career‚ you will often face situations in which a clear understanding of statistical thinking and decisionmaking methodology will be essential
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The analytical support for decision making course is really indeed touching every aspect from my daily job as a lead optimization engineer dealing with a huge drilling real time streaming data. In the past I have worked to prepare quarter review & annual report for our center. Honestly‚ it was consuming a lot of time to construct a valuable presentation that will impress the upper management. As of time being ASDM is a strong aid to be creative in utilizing‚ analyzing‚ projecting & illustrating
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Executive Support Systems (ESS) • supply the necessary tools to senior management. The decisions at this level of the company are usually never structured and could be described as "educated guesses." Executives rely as much‚ if not more so‚ on external data than they do on data internal to their organization. Decisions must be made in the context of the world outside the organization. The problems and situations senior executives face are very fluid‚ always changing‚ so the system must be flexible
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Event Driven Programming (2010) ~ Unit 14 ~ Unit Code : F/601/7281 Level 3 14.P1 14.P2 14.P3 14.P4 14.P5 14.P6 14.M1 Explain the key features of event driven programs. Demonstrate the use of event driven tools and techniques. Design an event driven application to meet defined requirements. Implement a working event driven application to meet defined requirements. Test an event driven application. Create onscreen help to assist the users of a computer program. Discuss how an operating system can be
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Decision support for best practices: Lessons learned on bridging the gap between research and applied pratice. Today‚ everyone is looking at best practices for developing a system or making the right choice in acquiring system components. If the right best practices are applied‚ they help to avoid common problems and improve quality‚ cost‚ or both. However‚ finding and selecting an appropriate best practice is not always an easy endeavor. In most cases guidance‚ based on sound experience‚ is missing;
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Time Driven ABC costing is more superior to the traditional method in many different ways. Overall there are many negatives to the traditional system including its higher cost‚ low accuracy and is an extremely complicated system. The time driven ABC costing has many benefits including its lower cost‚ ease of implementation‚ higher accuracy and the larger scope of its models. Traditional ABC costing has been used for a very long time but with the introduction of modern computers it allows for Time
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The importance of data for operations management and decision making In order to be able to make well guided decisions‚ one needs well based facts and therefore one is in continuous need of quality data. The same goes for operations management; data of substance is a must to run a company in its optimal levels of efficiency‚ effectiveness and capacity. The five levels of Data Quality Maturity according to Gartner are Aware‚ Reactive‚ Proactive‚ Managed and Optimized. Using these levels and applying
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Part Market-Driven Strategy 1 Chapter 1 Market-Driven Strategy The market and competitive challenges confronting executives around the world are complex and rapidly changing. Market and industry boundaries are often difficult to define because of the entry of new and unfamiliar forms of competition. Customers’ demands for superior value from the products they purchase are unprecedented‚ as they become yet more knowledgeable about products (goods and services) and more sophisticated
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to Support Spatial Data Mining Gennady Andrienko and Natalia Andrienko GMD - German National Research Center for Information Technology Schloss Birlinghoven‚ Sankt-Augustin‚ D-53754 Germany gennady.andrienko@gmd.de http://allanon.gmd.de/and/ Abstract. Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data‚ analysis by means of data mining can be aptly complemented by visual exploration of the data presented
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Professor Joiner 17 April 2013 Changing Medicare to a Premium Support System The high and rising cost of the United States health care system is placing a huge burden on families‚ businesses‚ and the younger generations who are going to be stuck paying for the national debt that is continually increasing. The fiscal stability of our government and the United States as a whole is at risk due to the current health care system that is in place. Current health care spending in the United States
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