...Running head: DECISION MAKING Decision Making Bonnie K. Hinsdale Grand Canyon University BUS 660 November 24, 2010 Decision Making The purpose of this paper is to explore how a company can become an analytic competitor. Questions as to what are the sources of Decision Making to an analytic competitor will also be discussed. A discussion on how influential quantitative modeling is and its utility in business decision making will be summarized. Finally, a Christian view that presents an ethical perspective on quantitative modeling and decision making will be presented. In an ever increasing global environment, maintaining a competitive advantage can be sustained through quantitative modeling, which can make a company a viable analytic competitor. How Can a Company Become and Be an Analytics Competitor Competitors make it increasingly more difficult to maintain a strategic competitive advantage when exclusive technologies, products and services can be duplicated (Davenport, Cohen & Jacobson, 2005). Organizations are now framing their strategies to accomplish optimization of “key business processes”: serving optimal customers, optimize supply chains, and understand and create optimal financial performance (Davenport, et al., 2005, p. 1). Optimization strategies demand that organizations now gather extensive data and perform extensive analysis that will guide executives in the decision-making process. The data and the analysis...
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...developments in data analytic. We treat some strategic, ethical, and technical dimensions of big data. The technical foci of the course include data structures, data warehousing, Structured Query Language (SQL), and high-impact visual displays. The principal objective of the course is to help students build understanding of data as an essential competitive resource, and acquire advanced computer skills through cases and hands-on applications. Assignments and classroom time will be devoted to both to analysis of current developments in analytics and to gaining experience with current tools. Davenport , Thomas H. and Harris, Jeanne G. Competing on Analytics: The New Science of Winning. Cambridge: Harvard Business School Press, 2007. ISBN 978-1422103326. Available for purchase at the bookstore. There is a required on-line course pack available for purchase at the Harvard Business Publishing website at this URL: https://cb.hbsp.harvard.edu/cbmp/access/23455671 This link is also available on LATTE . See last page of Syllabus for course pack contents. Other readings as posted on LATTE site. Learning Goals and Objectives Overview Required Reading Upon successful completion of this module, students will: Think of data as a strategic resource in business. Understand the logic of complex data queries in the context of on-line business research sources. Be familiar with current developments in Big Data, business intelligence, and competitive analytics. Be able to design...
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...developments in data analytic. We treat some strategic, ethical, and technical dimensions of big data. The technical foci of the course include data structures, data warehousing, Structured Query Language (SQL), and high-impact visual displays. The principal objective of the course is to help students build understanding of data as an essential competitive resource, and acquire advanced computer skills through cases and hands-on applications. Assignments and classroom time will be devoted to both to analysis of current developments in analytics and to gaining experience with current tools. Davenport , Thomas H. and Harris, Jeanne G. Competing on Analytics: The New Science of Winning. Cambridge: Harvard Business School Press, 2007. ISBN 978-1422103326. Available for purchase at the bookstore. There is a required on-line course pack available for purchase at the Harvard Business Publishing website at this URL: https://cb.hbsp.harvard.edu/cbmp/access/23455671 This link is also available on LATTE . See last page of Syllabus for course pack contents. Other readings as posted on LATTE site. Learning Goals and Objectives Overview Required Reading Upon successful completion of this module, students will: Think of data as a strategic resource in business. Understand the logic of complex data queries in the context of on-line business research sources. Be familiar with current developments in Big Data, business intelligence, and competitive analytics. Be able to design...
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... Through all the advances in technology and science numbers still are the first things that people go to when they are trying to decide on the value of just about anything. Even more so people love numbers that are easy and straightforward like the ones I have already given. Those numbers do not seem like anything other then numbers put in a paragraph for effect. But they go straight to the heart of everything that modern analytics has tried to accomplish. What are those numbers? Well the first two are the respective team payrolls for the New York Yankees and the Oakland Athletics. The Yankees, the evil empire as they are affectionately referred to as, perennially have had the highest team payroll in all of baseball and the spend big to win big philosophy has paid huge for them as the team has won a record 27 world series titles. Oakland on the other hand has been one of the leagues cheapest teams for well over the last twenty years easily not spending in almost 4 years on their team what the Yankees do in one. How does this pertain to analytics and its business world applications? Well the second set of numbers tell that story, as those are the win totals last year for both the Yankees and the A’s. It was the Oakland A’s who back in the early 2000’s began to embrace “Sabermatrics” or the analytical approach to judging talent and acquiring players to their entire organization. As a result despite being in the situation where they are being...
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...Risk Management in Construction Projects Using Combined Analytic Hierarchy Process and Risk Map Framework Satyendra Kumar Sharma* This paper aims at developing a risk management framework for project risk management in construction projects and demonstrate its application in an ongoing construction project in Amravati, Maharashtra, India. The various risk factors encountered in construction projects and various risk management methods already in use are identified and then a framework is developed which combines the Analytic Hierarchy Process (AHP) and risk map methods. The data was collected from various stakeholders in the construction project. The findings reveal that the proposed framework helps managers to objectively find out the most important risk factor associated with the project and accordingly work towards risk minimization. Introduction Construction projects in today’s world are marred by risks which delay the completion of projects on time or result in excessive cost overruns. These losses are multiplied if the size of the project and investments made are huge. These risks may include unavailability of materials, erratic weather changes, lack of funds, low quality of sub- contractors (Wu and Olson, 2009), etc. Though the managers realize the importance of these risk factors and mitigating them, they fall short of an objective method to manage these risks based on a priority basis (Martin, 2006). They mostly use ad-hoc or unscientific methods like rule of thumb...
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... Through all the advances in technology and science numbers still are the first things that people go to when they are trying to decide on the value of just about anything. Even more so people love numbers that are easy and straightforward like the ones I have already given. Those numbers do not seem like anything other then numbers put in a paragraph for effect. But they go straight to the heart of everything that modern analytics has tried to accomplish. What are those numbers? Well the first two are the respective team payrolls for the New York Yankees and the Oakland Athletics. The Yankees, the evil empire as they are affectionately referred to as, perennially have had the highest team payroll in all of baseball and the spend big to win big philosophy has paid huge for them as the team has won a record 27 world series titles. Oakland on the other hand has been one of the leagues cheapest teams for well over the last twenty years easily not spending in almost 4 years on their team what the Yankees do in one. How does this pertain to analytics and its business world applications? Well the second set of numbers tell that story, as those are the win totals last year for both the Yankees and the A’s. It was the Oakland A’s who back in the early 2000’s began to embrace “Sabermatrics” or the analytical approach to judging talent and acquiring players to their entire organization. As a result despite being in the situation where they are being outspent by their competition...
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...IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, VOL. 49, NO. 1, FEBRUARY 2002 59 R&D Project Selection Using the Analytic Network Process Laura M. Meade and Adrien Presley Abstract—The analytic network process (ANP) is presented as a potentially valuable method to support the selection of projects in a research and development (R&D) environment. This paper first discusses the requirements of the R&D project selection problem, which requires the allocation of resources to a set of competing and often disparate project proposals. Among the factors complicating this task is the need to make the decision within the framework of an enterprise’s strategic objectives and organizational structure while considering and integrating financial and strategic benefits of each project. The paper discusses the use of the ANP, a general form of Saaty’s analytic hierarchy process, as a model to evaluate the value of competing R&D project proposals. A generic ANP model developed by the authors, which includes in its decision levels the actors involved in the decision, the stages of research, categories of metrics, and individual metrics, is presented. The paper concludes with a case study describing the implementation of this model at a small high-tech company, including data based on the actual use of the decision making model. Index Terms—Analytic hierarchy process, analytic network process, multicriteria decision making, project selection, R&D management, R&D projects. I. INTRODUCTION...
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...Putting Predictive Analytics to Work in Operations James Taylor CEO, Decision Management Solutions More information at: www.decisionmanagementsolutions.com Using Decision Management to maximize the value of predictive analytics Predictive analytics applied to operational decision making is the next major source of competitive advantage. The most successful companies are using Decision Management to put predictive analytics to work powering the day-to-day decisions that impact performance most. ©2011 Decision Management Solutions Maximizing analytic value in operational decisions Insights from predictive analytics Contents: Insights to actions—improving operational decisions Customers—they think your decisions are deliberate Challenge—getting analytics into operations Solution—Decision Management increases analytic value 1 3 5 7 Insights to actions improving operational decisions “Most discussions of decision making assume that only senior executives make decisions or that only senior executives’ decisions matter. This is a dangerous mistake.” Peter Drucker Companies that systematically apply predictive analytics to operational decisions, especially those pertaining to customers, outperform their competitors. Many organizations think of predictive analytics as being valuable primarily for strategic purposes. They look to it as a source of market insights to help guide executives and managers making decisions about where to focus and allocate...
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...Individual Paper How IT Savvy is the Pharmaceutical Industry? [pic] How IT Savvy is the Pharmaceutical Industry? According to Peter Weill and Jeanne Ross, authors of the book, “IT Savvy: What Top Executives Must Know to Go from Pain to Gain”, IT Savvy firms need platforms of digitized processes that can make companies more agile and boost company performance. "The purpose of a digitized process platform is to disengage people from processes that are better performed by machines," the authors say. Therefore, that frees people up to focus on the key success drivers within the pharmaceutical industry, such as innovation and process excellence, which are embedded with dimensions of speed, quality, and decision making . My company The results obtained from the ‘How IT Savvy are you and your colleagues’ assessment showed the following: • The IT savvy score is 19.3, so the return we get per dollar invested in IT is above the industry average, in accordance with the assessment interpretation. There are still areas for continuous improvement. • The two major areas for implementing some enhanced processes are the cross -functional team shared experience and the simplification of business procedures. A real-life example of the previous topic regarding shared experience is the use of some customer service relevant data captured in one business area (market analysis) which is not taken into account throughout the company as an important tool to improve service, reduce...
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...skills through long essays, in-class debates and other hallmarks of liberal-arts courses. Companies say they need flexible thinkers with innovative ideas and a broad knowledge base derived from exposure to multiple disciplines. And while most recruiters do not outright avoid business majors, companies in consulting, technology and even finance say they are looking for candidates with a broader academic background. Firms are looking for talent. They're not looking for content knowledge. Students are motivated only by grades and instructors by evaluations. But Dr. Mason believes it offers a fair approximation of reality. In a 2003 paper in the Economics of Education Review, he buttressed that model with a national survey of 259 business professors who had been teaching for at least 10 years. On average, respondents said they had reduced the math and analytic-thinking requirements in their courses. In exchange, they had increased the number of requirements related to computer skills and group presentations. It has become difficult to give students honest feedback. The slightest criticisms have to be cushioned by a warm blanket of praise and encouragement to avoid provoking oppositional defiance or complete breakdowns. As a result, student progress is slowed, sharply. Rubric-driven approaches give the appearance of objectivity but make grading seem like a matter of checklists, which, if completed, must ensure an A. As the...
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...Harvard Business Publishing serves the finest learning institutions worldwide with a comprehensive catalog of case studies, journal articles, books, and elearning programs, including online courses and simulations. In addition to material from Harvard Business School and Harvard Business Review, we also offer course material from these renowned institutions and publications: ABCC at Nanyang Tech University Babson College Berrett-Koehler Publishers Business Enterprise Trust Business Expert Press Business Horizons California Management Review Crimson Group USA Darden School of Business Design Management Institute European School of Management and Technology (ESMT) Haas School of Business Harvard Kennedy School of Government Harvard Medical School/Global Health Delivery HEC Montréal Centre for Case Studies IESE Business School Indian Institute of Management Bangalore Indian School of Business INSEAD International Institute for Management Development (IMD) Ivey Publishing Journal of Information Technology Kellogg School of Management McGraw-Hill MIT Sloan Management Review North American Case Research Association (NACRA) Perseus Books Princeton University Press Rotman Magazine Social Enterprise Knowledge Network Stanford Graduate School of Business Thunderbird School of Global Management Tsinghua University University...
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...1450-223X Issue 50 (2012), pp. 62-75 © EuroJournals Publishing, Inc. 2012 http://www.eurojournals.com/ajsr.htm Review Study: Business Intelligence Concepts and Approaches Saeed Rouhani Islamic Azad University, Firoozkooh Branch Department of Industrial Engineering, Firoozkooh, Iran E-mail: SRouhani@iust.ac.ir Tel: +98-912-2034980 Sara Asgari MehrAlborz University, Tehran, Iran E-mail: sara.asgary29@gmail.com Seyed Vahid Mirhosseini MehrAlborz University, Tehran, Iran E-mail: vmirhosseini@gmail.com Abstract In today’s challenging business environment, it is a vital for organization to access useful information and knowledge. Business Intelligence (BI) is an umbrella concept for tools, techniques and solutions that helps managers to understand business situation. And BI tools can support informational knowledge needs of organizations. With respect to increasing trend of BI researches in BI concepts and applications, in this paper, recent researches and papers of academic journals in this field is systematically review to classify and prioritize the concepts and approaches of business intelligence. Consequently researches was classified in three, managerial, technical and system enables approaches to BI, and specification of each approach and future research quid was described. Keywords: Business Intelligence; Enterprise Intelligence Approaches Systems; Review Study; Business 1. Introduction Today, in the rapidly changing environment, need to correct and just-in-time...
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...Contents: 1 Introduction 2 Frameworks and analytics for Blue Ocean Strategy * Strategy Canvas * The Four Actions Framework * Eliminate- Reduce- Raise- Create Grid * Pioneer-Migrator-Settler Map * Buyer utility Map * Three Tiers of Noncustomers * Sequence of the Blue Ocean Strategy 3 Conclusion 4 Appendix Introduction: Due to the rapid development of logistic, communication tools, the world has become ‘smaller’ and ‘flatter’ than ever. Instead of competing with the local firms, nowadays companies would have to compete in the global environment. The entry and trade barriers for most of the market have been eliminated due to the regulations and the growth of technology. Here, the concept of ‘Blue Oceans’ comes into place. We can imagine a market universe consisted of two sorts of oceans: Red oceans and blue Oceans. Red oceans represent all the existed industries and market nowadays. In the red oceans, industry boundaries and standard are well defined and accepted, the formation and situation of the market can be understand and work out easily. The accelerated technological advances and the trend toward globalization have substantially improved industrial productivity and have enabled suppliers to produce an array of products and services, which lead to the supply exceeds demand. Due to the removal of trade barriers between nations and regions, the information on products and prices become more globally available. As a result...
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...Business AnAlytics And intelligence Course Starting: 29 June 2014 Application Deadline: Early Decision 28 February 2014 Regular Decision 15 April 2014 (Batch 5) (Classes conducted on-campus as well as off-campus) Certificate Programme on Business Analytics and Intelligence BATCH 5 in god We trust, All Others Must Bring data - W edwards deming he theory of bounded rationality proposed by nobel laureate Herbert Simon is evermore significant today with increasing complexity of the business problems; limited ability of human mind to analyze alternative solutions and the limited time available for decision making. introduction of enterprise resource planning (eRP) systems has ensured availability of data in many organizations; however, traditional eRP systems lacked data analysis capabilities that can assist the management in decision making. Business Analytics is a set of techniques and processes that can be used to analyse data to improve business performance through fact-based decision making. Business Analytics is the subset of Business intelligence, which creates capabilities for companies to compete in the market effectively. Business Analytics is likely to become one of the main functional areas in most companies. Analytics companies develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques. thomas devonport in his book titled, “competing on analytics: the new science of winning”, claims...
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...Table of Contents Introduction 4 Objectives 6 Literature Review 7 Framework 9 Data Analysis 14 Qualitative Analysis 14 Qualitative Analysis 16 Research Methodology 17 Conclusion 20 Bibliography 21 APPENDIX – I APPENDIX – II APPENDIX – III APPENDIX – IV APPENDIX - V Introduction Predictive analytics has its origin from a famous saying: Past performance is the basic indicator of future results. It looks at historical cases and builds models which can then be applied to benefit present scenarios or predict future scenarios. Predictive Analytics is the best way for a business to predict customer responses in the future. It provides solutions for businesses facing main problems like ‘What segment of potential consumers will respond best to our message’ and ‘how can I stop my customers from leaving, and why am I losing them?’(Curtis, 2010). Predictive analytics is not just for providing a solution for a business problem but involves techniques mainly to improve the focus of company towards customers and customers towards company. The magnificence of predictive analytics is that a business characteristically perceives a win-win situation. In other words, a business not only benefits from higher returns but also gets to save on cost (Colin, 2009). Predictive analytics is becoming a competitive necessity and an important aspect of many types of business, particularly in this type of economy where an organization is trying to increase its efficiency and at...
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