...FOR ANALYZING 1. INDICES 2. GOVERNMENT 3. CORPORATES 4. COMMODITIES 5. MUNICIPALS 6. CURRENCIES 7. EQUITIES 8. PORTFOLIOS 27 31 39 48 54 65 70 80 ADDITIONAL INFORMATION 1. SUPPLEMENTARY SCREENS 2. IMPORTANT BLOOMBERG TELEPHONE NUMBERS 3. REFERENCES 84 85 82 Lehigh University Bethlehem, PA 18015 Page 2 of 84 05/18/2004 Created by Michael von Orelli INTRODUCTION Lehigh University Bethlehem, PA 18015 Page 3 of 84 05/18/2004 Created by Michael von Orelli 1. Introduction Welcome To The Wonderful World Of Bloomberg Financial Markets THE BLOOMBERG provides 24-hour instant, accurate and current financial, economical and political information covering all market sectors. It also provides analytics, historical data, up-to-the minute news reports, economic statistics and political commentaries. We have our own news bureau and have been able to integrate news with analytics. THE BLOOMBERG is menu driven, interactive, user friendly and can be customized to fit every investment strategy and informational need. The system is constantly being upgraded and enhanced and, whenever possible, customer suggestions are incorporated into the system. The following will get you started and pave the way for you to explore the powerful and incredible world of BLOOMBERG. Tools Available To Learn The Bloomberg: All Training Is Free • LEARN / BU On-line, multimedia talking tours through Bloomberg functions. Type LEARN on...
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...JOB DESCRIPTION JOB TITLE: CHIEF CONTENT OFFICER Reports To Chief Executive Officer/Chief Operating Officer (smaller enterprise) or Chief Marketing Officer/VP of Marketing (larger enterprise) Position Summary The Chief Content Officer (CCO) oversees all marketing content initiatives, both internal and external, across multiple platforms and formats to drive sales, engagement, retention, leads and positive customer behavior. This individual is an expert in all things related to content and channel optimization, brand consistency, segmentation and localization, analytics and meaningful measurement. The position collaborates with the departments of public relations, communications, marketing, customer service, IT and human resources to help define both the brand story and the story as interpreted by the customer. Responsibilities Ultimately, the job of the CCO is to think like a publisher/journalist, leading the development of content initiatives in all forms to drive new and current business. This includes: • Ensuring all content is on-brand, consistent in terms of style, quality and tone of voice, and optimized for search and user experience for all channels of content including online, social media, email, point of purchase, mobile, video, print and in-person. This is to be done for each buyer persona within the enterprise. • Mapping out a content strategy that supports and extends marketing initiatives, both short- and long-term, determining which methods work for...
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...VISUAL ANALYTICS PROJECT (OPIM 5501) Project Report on FUTURE OF CARS Team 3 Project 2 Members: Ankit Agrawal Mownika Chalichama Phanindra Musunuri Long Phan 1. INTRODUCTION AND DATA Future of Cars visualization project shows the story to predict the future generation of cars. Ten years from now, in 2025, cars will be different, the drivers will be different, the market will be different, and the producers will certainly be different. The team believe that these changes will affect billions of people – from soccer moms to automotive executives, from taxi drivers to investment bankers. The data tells us that consumers are demanding greener, safer, more convenient and affordable cars. Most of these new consumers will come from emerging markets like China and India. Consequently, new trends will force car producers to modernize their supply chain, become more competitive and make lighter cars. Moreover, technology will play a huge part in changing the overall automotive landscape. Self-driving cars, car-cab services (Uber, Lyft, etc.), car pooling and the Internet of Cars all seemed like science-fiction will not remain not so long ago. Now many of them have become reality. There were a lot of data available online since countless research is being carried on cars. Major data source was data.gov for example, the website had an entire section on transportation data. Unsurprisingly, cleaning the data took a lot of time. Most of the data came from many different...
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...Intelligence and Analytics A rapidly emerging trend across almost every industry and organization is the increased utilization of data. From process automation to on-demand agile reporting to robust business intelligence and analytics (BI&A), data remains the future of business. Because of this trend, BI&A has become an industry in its own right. Software companies of all sizes are developing tools that are changing the future of business archetypes. According to Gartner, Inc., “By 2020, information will be used to reinvent, digitalize or eliminate 80% of business processes and products from a decade earlier” (Forbes 2015). As BI&A continues to quickly grow, there are multiple trends, techniques, platforms and expanding technologies that impact how organizations might tackle the development of a universal BI&A platform. The current “hot” trend, increasingly on the rise is self-service analytics, which opens the use of data to more people in a real-time way. Rado Kotorov, a Chief Innovation Officer at Information Builders predicts that for 2016: “…Self-service analytics will evolve beyond just self-service for analysts. There will be self-service information for the masses delivered not through tools but through purpose-built interfaces and apps. Just as the ATM in banking evolved from a cash-dispensing machine to a full transaction and account management terminal, so too will self-service mature and spread to the masses” (PC Mag 2015). Self-service analytics is a...
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...NYTimes.com March 12, 2011 Google’s Quest to Build a Better Boss By ADAM BRYANT Mountain View, Calif. IN early 2009, statisticians inside the Googleplex here embarked on a plan code-named Project Oxygen. Their mission was to devise something far more important to the future of Google Inc. than its next search algorithm or app. They wanted to build better bosses. So, as only a data-mining giant like Google can do, it began analyzing performance reviews, feedback surveys and nominations for top-manager awards. They correlated phrases, words, praise and complaints. Later that year, the “people analytics” teams at the company produced what might be called the Eight Habits of Highly Effective Google Managers. Now, brace yourself. Because the directives might seem so forehead-slappingly obvious — so, well, duh — it’s hard to believe that it took the mighty Google so long to figure them out: “Have a clear vision and strategy for the team.” “Help your employees with career development.” “Don’t be a sissy: Be productive and results-oriented.” The list goes on, reading like a whiteboard gag from an episode of “The Office.” “My first reaction was, that’s it?” says Laszlo Bock, Google’s vice president for “people operations,” which is Googlespeak for human resources. But then, Mr. Bock and his team began ranking those eight directives by importance. And this is where Project Oxygen gets interesting. For much of its 13-year history, particularly the early years, Google has taken...
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...AFRICA DEVELOPMENT AND RESOURCES RESEARCH INSTITUTE (ADRRI) JOURNAL (www.adrri.org) ISSN: 2343-6662 VOL. I, No.1, pp 1-8,October, 2013 AFRICA DEVELOPMENT AND RESOURCES RESEARCH INSTITUTE (ADRRI) JOURNAL ADRRI JOURNAL (www.adrri.org) ISSN: 2343-6662 VOL. I, No.1, pp 1-8,October, 2013 Effects of Information and Communication Technology (ICT) on Social Science Research Han Ping FUNG1,* 1 Technology Consulting, Hewlett-Packard, Kuala Lumpur, Malaysia *Han Ping FUNG (Email: corresponding han-ping.fung@hp.com) Abstract As more and more ICT tools being developed and used in social science research, it is a good idea to reflect how ICT had effects on social science research as a whole as there is a lacking of such study. This study is underpinned on and concurred with DeLone & McLean’s (1992, 2003) Information Systems (IS) Success Model in which ICT had effects on productivity of social science researchers. This study is based on participative observation approach in which ICT had effects on social science research in the following three ICT application areas: a) Pre-data analysis, b) Data analysis, and c) Post-data analysis. These three ICT application areas had improved a researcher’s productivity in terms of speed, quantity, quality, complexity as well as cost perspective is also discussed. Some concerns of using ICT are also included in this paper which encompasses: a) High learning curve, b) Revised expectation on researcher, c) Research by the convenient of big data...
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...warehouses, and data analytics software. But many of them don’t have much to show for their efforts. It’s possible they never will. What’s the problem? To begin with, big data ARTWORK: CHAD HAGEN, GRAPHIC COMPOSITION NO. 2, 2009, DIGITAL has been hyped so heavily that companies are expecting it to deliver more value than it actually can. In addition, analytics-generated insights can be easy to replicate: A financial services company we studied built a model based on an analysis of big data that identified the best place to locate an ATM, only to learn that consultants had already built similar models for several other banks. Moreover, turning insights from data analytics into competitive advantage requires changes that businesses may be incapable of making. One retailer, for example, learned that it could increase profits substantially by extending the time items were on the floor before and after discounting. But implementing that change would have required a complete redesign of the supply chain, which the retailer was reluctant to undertake. The biggest reason that investments in big data fail to pay off, though, is that most companies don’t do a good job with the information they already have. They don’t know how to manage it, analyze it in ways that enhance their understanding, and then make changes in response to new insights. Companies don’t magically develop those competencies just because they’ve invested in high-end analytics tools. They first...
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...Chaitanya Patel March 22, 2013 Table of Contents Introduction 1 Introduction to modern games 1 The history of gaming 2 1976 2 1985 3 Early 1990’s 3 1997 3 Modern gaming 4 Influence of violent games 5 Other Factors 6 Ethics Point of View 9 Government Policy 10 Conclusion 10 References 11 Introduction Introduction to modern games Everyone loves playing games, whether it is a two year old or a 20 year old; it is the kind of game they play is different. The younger generation has turned towards playing video games; with every generation of new graphics card comes out a new level of realism is achieved, and the developer tries to make more games that look like and has feel of a real life. We already spend hours out of our daily routine either killing zombies in walking dead, or killing other people and dealing drugs to become a crime lord in Grand Theft Auto, or sometimes just living a completely different life style in a role playing game like second life and World of Warcraft. We prefer to sit home and play video games rather than go out and play hide and seek. Most of us who are not good at physical sports like soccer or baseball, tries to play and be good at those sports in video games like NBA and Tiger Woods. We try to be a person that we are not or in some cases we cannot be, in video games. Someone tries to live their fantasy of being a racecar driver in Need for Speed games, or someone would try and be a sniper in World of War 2, or maybe...
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...Chapter 01 The Exceptional Manager: What You Do, How You Do It True / False Questions 1. | Virginia Rometty, CEO of IBM, believes that her success is due in part to her ability to take risks. True False | 2. | Exceptional managers have a gift that cannot be taught. True False | 3. | Management includes integrating the work of people through planning, organizing, leading, and controlling the organization's resources. True False | 4. | To be efficient in management means to use resources wisely and cost effectively. True False | 5. | Efficiency and effectiveness are terms used interchangeably and equivalently in management. True False | 6. | Automated telephone systems are typically both very effective and very efficient. True False | 7. | An effective manager has a multiplier effect on the organization, meaning his or her influence is multiplied beyond the results achievable by just one person. True False | 8. | John Hammergren's compensation of $145 million in 2010 as CEO of health care technology firm McKesson is typical for CEOs in North America today. True False | 9. | Studying management is likely to help you once you are in a manager role, but is unlikely to be beneficial before then. True False | 10. | One of the payoffs of studying management is an improved understanding of how to deal with organizations as a customer. True False | ...
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...Task 1 Answer to Discussion Question: 1. When developing a successful data warehouse, what are the most important risks and issues to consider and potentially avoid? Data warehouse projects have many risks. Most of them are also found in other IT projects, but data warehousing risks are more serious because data warehouses are expensive, time-and-resource demanding, large-scale projects. Each risk should be assessed at the inception of the project. When developing a successful data warehouse, it is important to carefully consider various risks and avoid the following issues: • Starting with the wrong sponsorship chain. You need an executive sponsor who has influence over the necessary resources to support and invest in the data warehouse. You also need an executive project driver, someone who has earned the respect of other executives, has a healthy skepticism about technology, and is decisive but flexible. You also need an IS/IT manager to head up the project. • Setting expectations that you cannot meet. You do not want to frustrate executives at the moment of truth. Every data warehousing project has two phases: Phase 1 is the selling phase, in which you internally market the project by selling the benefits to those who have access to needed resources. Phase 2 is the struggle to meet the expectations described in Phase 1. For a mere $1 to $7 million, hopefully, you can deliver. • Engaging in politically naive behavior. Do not simply state that a data warehouse will help...
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...`` Unit3/ P1 Zaharia Iuliana What is 'Marketing' Marketing are activities of a company associated with buying and selling a product or service. It includes advertising, selling and delivering products to people. People who work in marketing departments of companies try to get the attention of target audiences by using slogans, packaging design, celebrity endorsements and general media exposure. The four 'Ps' of marketing are product, place, price and promotion. Now hospitals are facing the same world of transparency and competition, and they would do well to consult the marketing playbook hotels and other service businesses use to enhance their customers’ experience. Marketing theory is driving a shift from provider empowerment to customer empowerment. In the past customers did not have the expertise, or access to information, to judge service professionals. What a lawyer, teacher, or doctor said was taken at face value. Now the efficacy of that information is checked online and experiences are shared with other customers. Marketing techniques A marketing strategy is an overall marketing plan designed to meet the needs and requirements of customers. The plan should be based on clear objectives. A number of techniques will then be employed to make sure that the marketing plan is effectively delivered. Marketing techniques are the tools used by the marketing department. The marketing department will set out to identify the most appropriate techniques to employ in...
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...realms of science projects at Web companies to help companies like telecommunication giants understand exactly which customers are unhappy with service and what processes caused the dissatisfaction, and predict which customers are going to change carriers. To obtain this information, billions of loosely-structured bytes of data in different locations needs to be processed until the needle in the haystack is found. The analysis enables executive management to fix faulty processes or people and maybe be able to reach out to retain the at-risk customers. The real business impact is that big data technologies can do this in weeks or months, four-or-more-times faster than traditional data warehousing approaches. Floyer.D (2015). Literature Review The IT techniques and tools to execute big data processing are new, very important and exciting. Big data is data that is too large to process using traditional methods. It originated with Web search companies who had the problem of querying very large distributed aggregations of loosely-structured data. Google developed MapReduce to support distributed computing on large data sets on computer clusters. Inspired by Google's MapReduce and Google File...
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...Visualization by Mapping and Geographic Analytics (GA) Sandeep Kumar Karumuru 04/19/2016 Image1 Research Paper submission for Supply chain management (Spring 2016) To Distinguished Professor of Supply Chain Management Dr. Nada R. Sanders 1 Table of Contents Abstract 3 Overview 4 Background 5 Supply Chain Visualization 6 Supply Chain Mapping 7 Geographic Analytics 8-11 Business Example 12 Future Trends 13 Benefits and Challenges 14 Conclusion 15 Bibliography 16 2 Abstract The focus of this research paper in on the process of how workflow is handled in a typical supply chain environment. There are numerous areas of focus that come to mind when we talk about improvements for a supply chain but the process itself is not given enough significance. The research paper covers the most popular process in use, from spreadsheets to its immediate future evolution i.e. visualization tools for supply chain data. There are several tools that exist in the market, each of them have their advantages and disadvantages when used in a certain environment. Supply chain mapping is one such tool that many companies are already utilizing but the mapping tool which gives a visual representation of the entire supply chain network is only an abstract network map and so it has its shortcomings. In contrast, supply chain mapping can be utilized alongside geographic analytics giving us the geographic context of...
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...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 Business Intelligence by S. Negash BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper...
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...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured...
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