...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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...primary objective of this chapter is to recognize the importance of data, the management issues that relate to it, and its life cycle. Other objectives include relating data management to multimedia and document management, explaining the concept of data warehousing, data mining, analytical processing, and knowledge discovery management. An Overview Section 12.1 – The Need for Business Intelligence – The section serves as an overview of Business Intelligence and its use in business. It discusses the problems associated with disparate data stores where data are not integrated into a single reporting system. The section discusses the technologies involved in Business Intelligence and the vendors involved. It also talks about predictive analytics, alerts and decision support. Section 12.2 – BI Architecture, Reporting and Performance Management – This section discusses the modes of data extraction and integration into a standardized, usable and trustworthy one. It also discusses the different types of reporting systems available to organizations, data mining, query and analysis. The section provides an insight into Business Performance Management (BPM) as a way for business managers to know if their organizations are achieving their strategic goals Section 12.3 – Data, Text and Web Mining and BI Search – This section discusses data mining technology, tools, and techniques. Information types, data mining applications, text mining, and web mining are explored. There is also a...
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...Report THE SCIENCE OF RISK Company Profile Verisk Analytics (NASDAQ: VRSK) provides information about risk to professionals in many fields, including insurance, healthcare, financial services, supply chain, and others. Through its renowned ISO brand, the company has delivered data, analytics, and decision support services for the property/casualty insurance industry for more than 40 years. Using advanced technologies to collect, analyze, develop, and deliver information, Verisk Analytics helps customers evaluate and manage risk. The company draws on vast expertise in actuarial science, insurance coverages, fire protection, fraud prevention, catastrophe and weather risk, predictive modeling, data management, economic forecasting, social and technological trends, and many other fields. To meet the needs of diverse clients, Verisk Analytics employs an experienced staff of business and technical specialists, analysts, and certified professionals. In the United States and around the world, Verisk Analytics helps customers protect people, property, and financial assets. For more information, visit www.verisk.com. Financial Highlights Revenues $ Millions 1,500 GR CA .5 = 14 % Adjusted EBITDA $ Millions 700 600 500 1,200 GR CA 5. 3 =1 % 900 400 300 200 600 300 100 0 2008 2009 2010 2011 2012 0 2008 2009 2010 2011 2012 2012 Sources of Revenues 2012 Revenues by Operating Segment Decision Analytics: 62% Property/Casualty Insurance: 32% Subscriptions...
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...'A deliberate act of omission or commission by any person, carried out in the course of a banking transaction or in the books of accounts maintained manually or under computer system in banks, resulting into wrongful gain to any person for a temporary period or otherwise, with or without any monetary loss to the bank’. Statistics quoted in a recent report by the Association of Certified Fraud Examiners’ (ACFE) 2012 titled “Report to the Nation on Occupational Fraud and Abuse” has estimated that a typical organization loses 5% of its revenues to fraud each year and cumulative annual fraud loss globally during 2011 could have been of the order of more than $3.5 trillion. The amount involved in the frauds reported by the banking sector in India has more than quadrupled from Rs. 2038 crore during 2009-10 to Rs. 8646 crore during 2012-13. Similarly, another report has estimated the losses of the Indian insurance companies at a whopping Rs.30, 401 crore in the year 2011 due to various frauds which have taken place in the life and general insurance segments. The losses work out to about nine per cent of the total estimated size of the insurance industry in 2011. Enron, Worldcom and more recently, the Libor manipulation scandals, have...
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...inesquecíveis, coisas inexplicáveis e pessoas incomparáveis" como vocês! Obrigado por tudo, Filipe Abstract The Retail Banking Industry has been severely affected by fraud over the past few years. Indeed, despite all the research and systems available, fraudsters have been able to outsmart and deceive the banks and their customers. With this in mind, we intend to introduce a novel and multi-purpose technology known as Stream Computing, as the basis for a Fraud Detection solution. Indeed, we believe that this architecture will stimulate research, and more importantly organizations, to invest in Analytics and Statistical Fraud-Scoring to be used in conjunction with the already in-place preventive techniques. Therefore, in this research we explore different strategies to build a Streambased Fraud Detection solution, using advanced Data Mining Algorithms and Statistical Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing, Real-Time Analysis, Fraud, Data Mining, Retail Banking Industry, Data Preprocessing, Data Classification, Behavior-based Models, Supervised Analysis, Semi-supervised...
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...Store Manager Incentive Design and Retail Performance: An Exploratory Investigation Headnote Store managers perform multiple tasks within a store, and the way in which they are evaluated and rewarded for these tasks affects their behavior. Using empirical data from multiple stores of a consumer electronics retailer, Tweeter Home Entertainment Group, we highlight the extent to which store manager incentive design impacts store manager behavior and, consequently, retail performance. More specifically, we describe the shift in store manager behavior resulting from a change in incentives, which, in part, altered the importance of sales relative to inventory shrinkage in the store manager compensation plan. Store managers, following this change, directed less attention to the prevention of inventory shrinkage and more toward sales-generating activities and made different process choices within the store. We observed increases in the level of inventory shrinkage and sales within these stores. Controlling for alternative drivers of sales and inventory shrinkage, we find this change in incentive design to be associated with a profit improvement of 4.2% of sales. This work indicates that altering how store managers are compensated impacts retail performance. Moreover, our findings underscore the importance of balancing the rewardsgiven for different types of activities in contexts where agents face multiple competing tasks. Key words: incentives; multitasking agent; retailoperations;...
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...inesquecíveis, coisas inexplicáveis e pessoas incomparáveis" como vocês! Obrigado por tudo, Filipe Abstract The Retail Banking Industry has been severely affected by fraud over the past few years. Indeed, despite all the research and systems available, fraudsters have been able to outsmart and deceive the banks and their customers. With this in mind, we intend to introduce a novel and multi-purpose technology known as Stream Computing, as the basis for a Fraud Detection solution. Indeed, we believe that this architecture will stimulate research, and more importantly organizations, to invest in Analytics and Statistical Fraud-Scoring to be used in conjunction with the already in-place preventive techniques. Therefore, in this research we explore different strategies to build a Streambased Fraud Detection solution, using advanced Data Mining Algorithms and Statistical Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing, Real-Time Analysis, Fraud, Data Mining, Retail Banking Industry, Data Preprocessing, Data Classification, Behavior-based Models, Supervised Analysis, Semi-supervised...
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...OPERATIONS MANAGEMENT TESTBANK CHAPTER 1: Introduction to Operations Management TRUE /FALSE 1. Some of the operations-related activities of Hard Rock Café include designing meals and analyzing them for ingredient cost and labor requirements. True (Global company profile, easy) 2. The production process at Hard Rock Café is limited to meal preparation and serving customers. False (Global company profile, easy) 3. All organizations, including service firms such as banks and hospitals, have a production function. True (What is operations management? moderate) 4. Operations management is the set of activities that create value in the form of goods and services by transforming inputs into outputs. True (What is operations management? easy) 5. An example of a "hidden" production function is money transfers at banks. True (What is operations management? moderate) 6. One reason to study operations management is to learn how people organize themselves for productive enterprise. True (Why study OM, easy) 7. The operations manager performs the management activities of planning, organizing, staffing, leading, and controlling of the OM function. True (What operations managers do, easy) 8. "How much inventory of this item should we have?" is within the critical decision area of managing quality. False (What operations managers do, easy) 9. In order to have a career in operations management, one must have a degree in statistics or quantitative methods. False (What operations managers do, easy)...
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...ITALIAN RESTAURANT BUSINESS PLAN HISTORY The location is only 1/4 of a mile away from Gravois Bluff's, the largest land moving project to put in a major shopping complex in the state of Missouri. The rent is half the retail shops in Gravois Bluff's, yet the location offers the same opportunity for sales. The recently completed highway 141 offers hundreds of thousands of local residents, shoppers from outside the area, and travelers that use this new highway. With this high concentration of customers there are no Italian restaurants in Fenton and a tremendous need for an upscale family restaurant that offers items for both the children and adults. This turnkey operation seats 170 customers and is the perfect size for a PHC family operation. With the current leasehold improvements and quality kitchen equipment it would take very little to upgrade this operation to the legendary PHC winning formula. The growth in numbers of high income families in the Fenton area is projected at over 30%. There is a need for a family fine dining restaurant in the Fenton area. PHC would be the perfect neighborhood restaurant in the perfect neighbourhood. The Pasta House Co. in Fenton will be the second location for Dennis Boldt, who has operated a successful franchise unit in High Ridge, Missouri for 20 years. The Pasta House Co. based out of St. Louis, and now has over 34 successful company and franchise locations in the United States and Mexico. PHC Fenton will have a prime location, great...
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...century, it has sparked new thinking about the possibilities for our second. Join us at IBM100.com A Letter from the Chairman 1 Dear IBM Investor: I am pleased to report that IBM had another strong year in 2010. Your company continued to outperform our industry and the market at large. We once again achieved record pre-tax earnings, record earnings per share, record free cash flow and improved profit margins, with increased revenues. At the same time, we continued to deliver superior returns to you, our owners. Most importantly, we are well positioned to grow as the global economy recovers. These results were made possible by decisions and actions that we undertook a decade ago, based on where we believed the world was shifting. But even more, they are a reflection of the mindset, ambitions and values that have guided IBM since its inception, 100 years ago. As such, our performance in 2010 marks a fitting conclusion to our first century as a corporation, and a promising start to our second. In this letter, I will explain why the long-term thinking and management that IBM has practiced over the past decade have positioned your company advantageously for the next five years and beyond. 2 IBM today IBM’s performance in 2010 is indicative both of our high-value market position and of the discipline we apply to our strategy and operations. Since 2002, we have added $14 billion to IBM’s pre-tax profit base, increased our pre-tax income 3.4 times, our earnings per share 4.7 times and...
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...sectors develop a deeper understanding of the evolution of the global economy and to provide a fact base that contributes to decision making on critical management and policy issues. MGI research combines two disciplines: economics and management. Economists often have limited access to the practical problems facing senior managers, while senior managers often lack the time and incentive to look beyond their own industry to the larger issues of the global economy. By integrating these perspectives, MGI is able to gain insights into the microeconomic underpinnings of the long-term macroeconomic trends affecting business strategy and policy making. For nearly two decades, MGI has utilized this “micro-to-macro” approach in research covering more than 20 countries and 30 industry sectors. MGI’s current research agenda focuses on three broad areas: productivity, competitiveness, and growth; the evolution of global financial markets; and the economic impact of technology. Recent research has examined a program of reform to bolster growth and renewal in Europe and the United States through accelerated productivity growth; Africa’s economic potential; debt and deleveraging and the end of cheap capital; the impact of multinational companies on the US economy; technology-enabled business trends; urbanization in India and China; and the competitiveness of sectors and industrial policy. MGI is led by three McKinsey & Company directors: Richard Dobbs, James Manyika, and Charles Roxburgh. Susan...
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...sectors develop a deeper understanding of the evolution of the global economy and to provide a fact base that contributes to decision making on critical management and policy issues. MGI research combines two disciplines: economics and management. Economists often have limited access to the practical problems facing senior managers, while senior managers often lack the time and incentive to look beyond their own industry to the larger issues of the global economy. By integrating these perspectives, MGI is able to gain insights into the microeconomic underpinnings of the long-term macroeconomic trends affecting business strategy and policy making. For nearly two decades, MGI has utilized this “micro-to-macro” approach in research covering more than 20 countries and 30 industry sectors. MGI’s current research agenda focuses on three broad areas: productivity, competitiveness, and growth; the evolution of global financial markets; and the economic impact of technology. Recent research has examined a program of reform to bolster growth and renewal in Europe and the United States through accelerated productivity growth; Africa’s economic potential; debt and deleveraging and the end of cheap capital; the impact of multinational companies on the US economy; technology-enabled business trends; urbanization in India and China; and the competitiveness of sectors and industrial policy. MGI is led by three McKinsey & Company directors: Richard Dobbs, James Manyika, and Charles Roxburgh. Susan...
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...devices by means of radio waves. Thus neither a direct line of sight, nor a physical connection is needed. The first device is a reader or antenna, the second is a so called tag. Readers are more complex and expensive devices, whereas the tags are meant to be cheap and produced in high numbers. Tags can be very simple, for example they could transmit a short id code, similar to a bar code, that is powered by an electromagnetic field. Else, they can be more complex: they could be written to, perform calculations for authentication like a pay-tv chipcard, and contain a power source to increase range. Depending on the application, a major share of effort needs to also be put into an operations infrastructure acting on the data received by the antennas, for example time tracking of employees or billing for payment solutions. History The technology was first developed for military aircraft in the 1950s and 60s to allow identification of friendly planes, as the pure radar signature did not answer this question. The first patents for a RFID tag used to unlock a door touch less were awarded in 1973. In the 1980s first applications for toll collection, as discussed in this article, were developed. With ongoing miniaturization ongoing and decaying prices, in particular for tags, more and more potential applications were thought out. There was a major buzz around RFID in the late 90s and early 2000s, as it was envisaged to have a RFID tag on every coke bottle and a reader on every...
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...Content Technologies Inc. publications and services. All notes, highlights, reviews, and practice tests are written and or prepared by Content Technologies, Inc. and Cram101 Publishing. Copyright © 2014 by Content Technologies, Inc. All rights reserved. eISBN 9781490281032 E-5 23479 www.Cram101.com 5 LearningSystem "Just the Facts101" is a Cram101 publication and tool designed to give you all the facts from your textbooks. Visit Cram101.com for the full practice test for each of your chapters for virtually any of your textbooks. Cram101 has built custom study tools specific to your textbook. We provide all of the testable information and unlike traditional study guides, we will never send you back to your textbook for more information. YOU WILL NEVER HAVE TO HIGHLIGHT A BOOK AGAIN!...
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...SRM UNIVERSITY (Under section 3 of UGC Act, 1956) FACULTY OF MANAGEMENT SCHOOL OF MANAGEMENT MBA FULL TIME CURRICULUM AND SYLLABUS - 2013-14 1 Code MB 13101 MB 13102 MB 13103 MB 13104 MB 13105 MB 13106 SRM University MBA - Revised Curriculum - 2013-14 Semester –I Thinking and Communication Skills (Practical) Accounting for Decision Making Philosophy for Management Economics for Managers Managerial Statistics Managerial Skills (Practical) Semester-II Financial Management Management Information System Marketing Human Resource Management Production And Operation Management Legal Aspects of Business Semester- III Summer Internship (8 weeks)(Practical) Entrepreneurship Strategic Management Business Analytics (Practical) Elective-1 Elective-2 Elective-3 Elective-4 Semester- IV Elective-5 Elective-6 Industrial Elective (Practical) Total Credit L 0 2 3 2 2 0 T 0 4 0 2 4 0 P 4 0 0 0 0 6 C 2 4 3 3 4 3 19 4 3 4 2 4 3 20 2 3 3 2 3 3 3 3 22 3 3 5 11 72 MB 13207 MB 13208 MB 13209 MB 13210 MB 13211 MB 13212 MB 13313 MB 13314 MB 13315 MB 13316 2 2 3 2 3 2 0 2 2 0 2 2 2 2 2 2 0 4 2 2 0 2 2 0 2 2 0 2 2 2 2 2 2 0 0 0 0 0 0 0 4 0 0 4 0 0 0 0 0 0 10 MB 13417 Functional Electives Marketing Finance Systems Human Resource Operations Vertical Electives Pharma Hospitality Enterprise Resource Planning Agriculture Hospital and Health Care Retailing Auto Industry Project Management Media and Communication Banking Financial Service Insurance 2 MB...
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