...Model Year 12 Hydraulic Leak Complaints 19 October 2012 Our dealers began to complain of an increase in hydraulic leak failures. Their complaint was of single machines with multiple leak locations. In some cases, this meant that hoses were falling off the machine, causing a complete loss of hydraulic oil. Company A’s warranty covers the cost of the part as well as standard repair time. These dealers have become increasingly frustrated by this as they are Company Apaying drive time to and from the customer, as well as the cost of the oil. In assessing this situation, the first step was to verify that the number of leaks was increasing. At the time of the complaints, very little information was available for the current model year. Previous model year warranty data shows a trend of 2.5 Failures Per Machine (FPM) for hydraulic leaks. Taking a sample of 30 domestic machines showed an FPM of 3.2 FPM. By simply categorizing the failures to the assembly location we could quickly identify the concern areas to the hydraulic pump sub assembly and wheel motor sub assembly station. A team was assembled to monitor these two stations, and found operators who were not following the process. At this time it was also noticed that the process has high risk for failure, based on the team’s experience. We proposed improved processes that the operators could follow. We also proposed to improve the tooling to smart tools. Smart tools would reduce the risk of operator error. After the process...
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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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...ive Analytics World for Manufacturing – June 17 & 18, 2014 Venue: McCormick Place Speaker proposal deadline: November 1, 2013 Speakers will be notified by: December 31, 2013 If you would like to receive PAW call-for-speakers announcements and notifications as they arise for future PAW events, please provide your email address here: Sign up for call-for-speaker notifications Email Address: All speakers: Please read this call for speakers in its entirety before proceeding to the speaker proposal form (below). Software vendors: If you are a software vendor, read this restriction on speaking. Join Predictive Analytics World (PAW) for Manufacturing to share how predictive analytics delivers a business impact for your organization. PAW Manufacturing is the only conference of its kind, with sessions and content reaching: Across business applications - For what purpose is predictive analytics deployed? Across vendors of solutions and software - How is predictive analytics deployed? Dedicated to the Manufacturing Industry Please read more about the scope, objective and target audience of this conference on the about, FAQ and attendee demograpics pages. Present Your Case Studies PAW Manufacturing provides speakers the opportunity to present predictive analytics case studies, deployment successes and lessons learned. At this event, potential consumers of predictive analytics witness proof demonstrating it's more than just a bunch of great ideas - predictive...
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...IS5111:Integration of IS & Business Business Intelligence and Analytics Abhishek Kumar Singh Anbarasan Thangapalam R Deepak Chattani Naadiya Danapal Ram Vibhakar S [A0120022] [A0119959] [A0119975] [A0119961] [A0120054] A Case study on Business Intelligent and Analytics Systems in NTUC FairPrice Table of Contents Executive Summary ............................................................................................................................. 3 Acknowledgments ............................................................................................................................... 4 1. Introduction ...................................................................................................................................... 5 2. Business Intelligence in Retail Industry: ................................................................................. 6 3. Combining BI in CRM ...................................................................................................................... 7 3.1 Analytical CRM ..........................
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...Article Raghupathi and Raghupathi, J Health Med Informat 2013, 4:3 http://dx.doi.org/10.4172/2157-7420.1000132 Open Access An Overview of Health Analytics Wullianallur Raghupathi1* and Viju Raghupathi2 1 2 Graduate School of Business, Fordham University, New York, NY, USA Finance and business management, Brooklyn College, City University of New York, Brooklyn, NY, USA Abstract Objectives: We examine the emerging health analytics field by describing the different health analytics and providing examples of various applications. Methods: The paper discusses different definitions of health analytics, describes the four stages of health analytics, its architectural framework, development methodology, and examples in public health. Results: The paper provides a broad overview of health analytics for researchers and practitioners. Conclusions: Health analytics is rapidly emerging as a key and distinct application of health information technology. The key objective of health analytics is to gain insight for making informed healthcare decisions. Keywords: Data warehousing; ETL; Descriptive analytics; Discovery Introduction analytics; Health analytics; Informed decision; Insight; Predictive analytics; Prescriptive analytics management, and preventive care. In one scenario, for example, the use of health analytics technologies can ensure that emergency room doctors are briefed and ready to treat patients prior to their arrival by ambulance. Diagnostic and current...
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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 for...
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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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...HBR Article: Diamonds in the Data Mine March 31, 2010 By Gary Loveman This is a pretty nice and short yet highly effective article that outlines the importance of providing an exceptional customer service in today’s service industry, especially in the gaming industry as it is the case of Harrah’s Entertainment casino. Actually, from its inception, Harrah’s former CEO Phil Satre had instituted this policy of “changing Harrah’s from an operations-driven company that viewed each casino as a stand-alone business into a marketing-driven company that built customer loyalty to all Harrah’s properties”. In doing so, Satre asked Gary Loveman to head a strategy to affect this change in all Harrah’s organizations, and so Loveman did follow through on this task. He effectively focused on delivering customer service and on understanding and marketing effectively to the customer. This is the secret to Harrah’s success, which allows him and Harrah’s to maintain loyalty from its customers based on the database they had collected over the years, as they were able to identify their customers’ needs and wants as well as to have good reward and incentive programs in place to recognize their clientele according to the time and money they spend gambling over their facilities. Yet, for their workforce, Harrah’s instituted a bonus system tied to job satisfaction. “Rewards hinge on everyone’s performance at a casino- and on customer satisfaction, not a property’s financial performance”. Also...
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...measured social media ROI, I can tell you it isn’t as easy as everyone thinks, but it is possible. — Nichole Kelly marketers, but it is something that can be overcome. www.fullfrontalroi.com 1 Introduction The makers of HootSuite, the social media dashboard, recognized the need for real social metrics and released the new Custom Social . This platform provides a new level of insight for how social media is impacting your business. It provides metrics beyond those available anywhere, like fans and followers, and gives decision making metrics like how many site visits your social media activities generated and how many of your social media contacts converted on your site. Combining this data with basic executive measurement philosophies will provide concrete reports on what is and what isn’t delivering in your social strategy. The following pages outline some core measurement strategies that will transform your conversation about social media measurement. Customize. Automate. Simplify. Get a better view of your social campaigns with new, more powerful analytics tools, more ways to measure, and customizable...
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...Cincinnati Zoo Case Study Florida Tech University Cincinnati Zoo Case Study Reviewing the Case Study on page 465 of the text on how analytics help the Cincinnati Zoo know its customers, we are faced with two questions. These questions are as follows: How did the Cincinnati Zoo benefit from business intelligence How did it enhance operational performance and decision making? After reading over this case study, I have come to the prediction that Cincinnati Zoo benefits from business intelligence by first upgrading its information systems to focus more on an alytics and data management standpoint (Laudon, 2014) The Zoo used infrastructure for collecting, storing, and analyzing data produced by business databases, data warehouses, and data markets. By using the partnership of IBM and BrightStar Partners, IBM Cognos Business Intelligence provided real-time analytics and reporting (Laudon, 2014). Through the business intelligence programs, Cincinnati Zoo benefits for a higher profit by sending weather forecast data to the intelligence system to make more accurate decisions about staffing and inventory planning. The enhanced operational performance and decision making of Cincinnati Zoo can be said to be that of a High-velocity automated decision making. These decisions are made readily through the Zoo intelligence system which led the business to dramatically improvements in sales as well as profit gains. The Cincinnati Zoo intelligence solution achieved defining steps for a...
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...of research material in support of the final dissertation. The annotated bibliographic reviews contained within this paper will work to provide information that will support my future research and provide experience in garnering and explaining the salient tenants of research material. NOTE: This paper will not include proper APA formatting as citations have been bolded to ensure the professor can discern where citations begin and end. Curtis, S. K. (2012). Commitment to cybersecurity and information technology governance: A case study and leadership model. (Doctoral dissertation). Retrieved from the ProQuest dissertation and thesis database. (UMI No. 3569139) The problem as described by the author in this quantitative study is senior managers are not using web analytic technology (WAT) and there is a lack of literature describing why this is the case. The purpose of this study is to “examine how management consultants perceive WAT” (p. 22). This study has seven hypotheses. Unified theory of acceptance use of technology (UTAUT) is the conceptual framework utilized by the author. The author utilized UTAUT with independent variables of social norm, performance expectancy and effort expectancy, facilitating condition and management consultants’ behavioral intention to accept WAT and the moderators of gender, age and experience to capture behaviors related to the intention to use information technology. There...
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...MASTER OF TECHNOLOGY ADVANCED ELECTIVES SELECTION For Semester II 2014/2015 ATA/SE-DIP/TS-11/V1.34 Master of Technology in Software /Knowledge Engineering and Enterprise Business Analytics Table of Contents. MTECH ADVANCED ELECTIVES 1. INTRODUCTION. 1.1 Overview. 1.2 Courses. 1.3 Assessment. 1.4 Elective Selection Process. 2 2 2 2 3 3 2. SCHEDULE FOR ADVANCED ELECTIVES OFFERED DURING SEMESTER II 2014/2015. 2.1 MTech SE and KE Students. 2.2 MTech EBAC Students. 5 5 9 3. CURRICULUM. 12 4. DESCRIPTION OF COURSES. 4.1 Department of Electrical & Computer Engineering. 4.2 School of Computing. 4.3 Institute of Systems Science. 4.4 Department of Industrial & Systems Engineering. 4.5 Division of Engineering & Technology Management. 12 15 23 31 32 34 ATA/SE-DIP/TS-11/V1.34 page 1 of 35 Master of Technology in Software /Knowledge Engineering and Enterprise Business Analytics MASTER OF TECHNOLOGY Advanced Electives 1. INTRODUCTION 1.1 Overview All students that expect to have passed four core courses and eight basic electives after completing the scheduled examinations in November, and also have or expect to pass their project/internship, will be entitled to commence their Advanced Electives in NUS Semester II 2014/2015, which starts on 12 January 2015. However, it should be noted that a student’s registration for the Advanced Electives will be withdrawn if they either: 1. 2. 3. 4. 5. Fail any elective examination in November. Do not successfully...
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...QTM2000 Case Studies in Business Analytics Spring 2016 Section 01:T/Th 9:45AM-11:20AM – Gerber 102 Section 02:T/Th 11:30AM-1:05PM – Gerber 102 Instructor: Denise Sakai Troxell Office: Babson Hall 318 Office hrs: By appointment only | Phone: (781) 239-6309e-mail: troxell@babson.edu | Course Description (from catalog): This course builds on the modeling skills acquired in the QTM core with special emphasis on case studies in Business Analytics – the science of iterative exploration of data that can be used to gain insights and optimize business processes. Data visualization and predictive analytics techniques are used to investigate the relationships between items of interest to improve the understanding of complex managerial models with sometimes large data sets to aid decision-making. These techniques and methods are introduced with widely used commercial statistical packages for data mining and predictive analytics, in the context of real-world applications from diverse business areas such as marketing, finance, and operations. Students will gain exposure to a variety of software packages, including R, the most popular open-source package used by analytics practitioners around the world. Topics covered include advanced methods for data visualization, logistic regression, decision tree learning methods, clustering, and association rules. Case studies draw on examples ranging from database marketing to financial forecasting. This course satisfies one of the...
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...A REPORT BY HARVARD BUSINESS REVIEW ANALYTIC SERVICES Big Data: The Future of Information and Business Sponsored by Big Data: The Future of Information and Business Executive Summary BIG DATA HAS become a catchall phrase, but at its heart, it offers three challenges for organizations. First, business leaders must deploy new technologies and then prepare for a potential revolution in the collection and measurement of information. More important, the entire organization must adapt a new philosophy about how decisions are made, if the real value of big data is to be realized. The amount of data pouring into organizations through ever-expanding channels is staggering. According to one source, more data have been produced in the past two years than in all of prior history. Not only has the volume of data changed, but so has the variety: information is now collected from multiple channels, ranging from Web clicks to the unstructured data from social media. And the velocity at which organizations can now collect, analyze, and respond to data has added a new dimension. Amazon, for instance, uses a dynamic pricing system that crawls over the Web, checks competitors’ prices and product availabilities, and changes the prices on Amazon, in some cases every fifteen seconds. Amazon can collect data from every visitor, every click, and every interaction, which collectively are known as structured data, and it can also collect reviews or evaluations from consumers or their...
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...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 the same time maintain and grow the business. The choice of this topic comes from the fact that prediction is always interesting and challenging. One needs to analyse the history in depth to predict accurately. From the business point of view, predicting and taking decisions...
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