...------------------------------------------------- The Government and “The Cloud” DéAna Colón Project-Based Information Systems, 90.480.032, TP5 Table of Contents Table of Contents 2 Introduction 3 US Privacy Rights 3 Loss of Companies’ Products/Services 4 Government’s Cloud-Data Security 6 Negative Impact on International Relations 7 Loopholes 8 Conclusion 9 Sources 10 Figure 1: Cisco's Projected Revenue Chart 5 Figure 2: Key Stakeholders and Responsibilities for FedRAMP 7 Introduction With the technological advances made, cloud-based data storage has become a staple in businesses worldwide. Storing data using a web-based content management system offers a limitless amount of off-site storage, allowing companies to save larger amounts of data longer. The United States government currently has the unwarranted authority to read emails or access cloud-based data that has been stored for six months or more. Both positive and negative aspects are realized with this controversy. On a positive perspective, many feel the government accessing the data could be beneficial. Probing may help the government prevent terrorism in the United States. It may also provide the information needed to better forecast the country’s economic future. A disparaging concern is that companies feel the government is violating privacy rights. In addition, possible data leaks may result in a company’s loss of product or services. Ultimately, it must be decided whether the...
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...» Syllabus US/Arizona Time: Jul 29, 2014, 2:38 PM MKT/421 (BSDS1DBAM2) Class Home Week1 Week2 Week3 Week4 Week5 Full Syllabus Week2. Strategic Planning and Positioning. Jul 22 - Jul 28Week2 Strategic Planning and Positioning Jul 22 - Jul 28 / 13 points Tasks Complete the Learning Team Charter. Objectives/Competencies 2.1Identify the components of an effective marketing plan. 2.2Conduct a SWOT and competitive analysis. 2.3Apply the market research process in discovering and answering business questions. 2.4Apply a segmentation model to create a target market and develop a positioning statement. Learning Activities Required Reading Basic Marketing, Ch. 2 43 Reading Basic Marketing, Ch. 3 14 Reading Basic Marketing, Ch. 4 11 Reading Basic Marketing, Ch. 7 10 Reading Basic Marketing, Ch. 18 7 Discussion Favorite Brand Discussion 24 Discussion Product and Organization Selection and Approval 6 Discussion Research and Discussion 3 Video The Five Competitive Forces That Shape Strategy 1 Video Target: Inside the Bullseye 2 Video Positioning 11 Video Marketing Research and Segmentation 4 ERR Week 2 Electronic Reserve Readings Assignments ASSIGNMENT STATUS FRIENDLY NAME TITLE DUE DATE POINTS UNREAD COMMENTS Participation Week 2 Participation Due Jul 28, 11:59 PM /3 Presentation Marketing Mix Presentation Submitted /5 5 Paper Personal Branding Plan Paper Due Jul 28, 11:59 PM /5 Total Points...
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... Hi-Ho Yo-Yo, Inc. 2 First we must incorporate priority rules. Priority rules are regulations which determine in which succession the orders in front of a production line should be worked (Stevenson 2011, p. 712). In deciding what priority rules to acclimate, an organization such as Hi-Ho Yo-Yo, Inc. should achieve the following objectives: 1. Meet due dates of the customers if the product goes directly to them or the downstream operations if the product is but an input of another. 2. Minimize the time the order spends within the process including wait time. 3. Minimize work-in-process inventory which inevitable ties resources which can otherwise be used in more productive activities. 4. Minimize idle time of both machine and human resources. Given these objectives, Hi-Ho Yo-Yo, Inc. can choose from different priority rules and some of the most popular are as follows: (Retrieved from table 16.2, Stevenson 2011, p. 712). First Come First Serve If Hi-Ho Yo-Yo, Inc. chooses this method to decide how the 5 orders are lined up, this will mean that the first order received will be processed first. The following table shows how this choice measures according to different measures of effectiveness: Job Date Order Received Set-Up Time (days) Production Time (days) Total Processing Time Flow Time Due Date Delays A 6/4 0.25 6 6.25 6.25 11 - B 6/7 0.50 2 2.50 8.75 8 0.75 ...
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...1. Sub sektor Tanaman Pangan Daftar perusahaan industri penghasil bahan baku, sektor pertanian, sub sektor tanaman pangan yang terdaftar di Bursa Efek Indonesia (BEI) adalah No | Kode | Nama | Tanggal | | Saham | Emiten | IPO | 1 | BISI | Bisi International Tbk | 28-Mei-2007 | (Diperbaharui 2 Oktober 2013) Catatan penting lainnya untuk sub sektor tanaman pangan : * 12 September 2013| CKRA (PT. Citra Kebun Raya Agri Tbk) pindah dari sektor tanaman pangan (kode sektor 1.1) ke sektor pertambangan logam dan mineral lainnya (kode sektor 2.3) 2.2. Sub sektor Perkebunan Daftar perusahaan industri penghasil bahan baku, sektor pertanian, sub sektor perkebunan yang terdaftar di Bursa Efek Indonesia (BEI) adalah No | Kode | Nama | Tanggal | | Saham | Emiten | IPO | 1 | AALI | PT. Astro Agro Lestari Tbk | 09-Des-1997 | 2 | ANJT | PT. Austindo Nusantara Jaya Tbk | 10-Mei-2013 | 3 | BWPT | PT. BW Plantation Tbk | 27-Okt-2009 | 4 | DNSG | PT. Dharma Satya Nusantara Tbk | 14-Jun-2013 | 5 | GZCO | PT. Gozco Plantation Tbk | 15-Mei-2008 | 6 | JAWA | PT. Jaya Agra Wattie Tbk | 30-Mei-2011 | 7 | LSIP | PT. PP London Sumatera Indonesia Tbk | 05-Jul-1996 | 8 | MAGP | PT. Multi Agro Gemilang Plantation Tbk | 16-Jan-2013 | 9 | PALM | PT. Provident Agro Tbk | 18-Oct-2012 | 10 | SGRO | PT....
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...relationship between variables and real GDP is reflected by correlations and cross correlations. Secondly, forecasts are made based on past figures and with the help of moving average method. 4 2 0 Apr-2004 May-2008 Sep-2003 Nov-2004 Aug-2006 Mar-2007 Dec-2008 Feb-2010 -2 -4 -6 -8 Sep-2010 Apr-2011 Jun-2005 Jan-2006 Oct-2007 Jul-2009 GDP growth rate inflation rate Analysis Task 1: Decide the cyclical natural of different variables, which can be decided by the correlation of individual variable and change rate of real GDP. While, indicator proporities are explained by cross correlations. • (Y,X) 0.008482 In May 2008, the inflation did not follow the correlation with GDP, the inflation appeared a peak but with a recession of GDP growth. The possible reason could be the government adjusted money supply to stimulate the economy, which led to decline of purchasing power of money. • Nominal exchange rate between Australia and the US ($US per $AUD). (Y,X-1) (y,x-2) (Y,X-3) (Y,X-4) (Y,X-5) -0.15423 -0.2092 -0.18983 -0.24673 -0.19466 (Y,X+1) (Y,X+2) (Y,X+3) (Y,X+4) (Y,X+5) -0.13739 -0.09766 0.767955 -0.12137 -0.13881 Inflation rate (Y,X-1) 0.29791 (Y,X+1) -0.17905 (Y,X-2) (Y,X-3) (Y,X-4) (Y,X-5) (Y,X) -0.13582 -0.211214 -0.082956 -0.112946 -0.115635133 (Y,X+2) -0.147293 (Y,X+3) 0.281015 (Y,X+4) -0.3681 (Y,X+5) 0.141886097 As shown in above table, the correlation coefficient between change rate of inflation and change of real GDP is 0.00848, that is,...
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...I. Abstract The United States and many countries around the world have been researching and developing methods of producing and utilizing alternative, cleaner fuel sources for many years. Natural gas is one of which that is being explored and used more and more on a daily basis. According to the American Petroleum Institute, Natural Gas meets 24% of U.S. energy demand and heats 51% of U.S. households. It is also a proven cleaner fuel source for automobiles when compared to gasoline or diesel. Many enterprises now employ the use of natural gas-powered vehicles for their demand, and there are now around 120,000 on U.S. roads (American Petroleum Institute). With the ever-increasing presence of natural gas in our lives, it is important to know how it affects us on the consumer level. More importantly, it is essential to understand how it affects us monetarily. When we can understand trends and forecast the pricing of natural gas, we can improve our financial planning, resource allocation, etc. II. Data Set Description and Methods Used This paper will be conducting a time series analysis on U.S. Natural Gas prices from January 2002 through December 2012. Prices were collected by the Energy Information Administration on a monthly basis, and the prices are measured in dollars per thousand cubic feet. The raw data set is much more extensive, and measures data such as wellhead price, import and export price, etc. I chose to neglect this in my data set for simplicity sake...
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...environment was taken into consideration - to see how it would effect the predictions made by the models. In general, there are a lot of underlying factors to consider when doing a sales forecast – mainly categorized into controllable and uncontrollable factors. Since this forecast is covers all automobile sales, not just for a particular company, it is safe to say that the controllable factors can be ignored (product mix, prices etc.). However, uncontrollable factors have a big play on this forecast – economy, interest rates, gas prices, industry trends etc. As discussed earlier, the first step was to perform the two analytical approaches. These two approaches smoothed the data and found the underlying trend behind the noise. Table 1 and Table 2 in the Appendix shows the steps used to formulate this trend. Actual sales, the moving average and exponential smoothing are shown in Chart 1 in the Appendix. Purely based on this, the moving average would predict the March ’12 forecast to be 535,662 where as the exponential smoothing would predict it to be 574,439. The automotive industry bases the sales predictions on the 3C’s – Cash, credit and confidence (www.autoobserver.com). It is a known that our economy is down. However, the unemployment rate is decreasing and it seems that the confidence is increasing. Having said all that, this factor itself has not changed any more than what...
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...INSE 6310 Systems Engineering Maintenance Management (4 credits) 1. General Information • • • • • • INSE 6310: Systems Engineering Maintenance Management (4 credits) Mondays Wednesday: 6:30 p.m. – 9:00 p.m., H-531 Zhigang (Will) Tian, Ph.D., Concordia Institute for Information Systems Engineering, ENCS. Office: EV7.637, extension 7918, tian@ciise.concordia.ca Office hours: Wednesdays from 2:00 p.m. to 4:00 p.m., or by appointment. Course website: http://users.encs.concordia.ca/~tian/INSE6310 On the course website, you can find lecture slides, handouts, course project information, and other resources. Students are suggested to visit the course website regularly. 2. Course Description • This course teaches basic concepts, models, methods and tools in maintenance management. The related reliability concepts, deterministic replacement, preventive maintenance and condition based maintenance will be discussed. Case studies will be performed. Software tools will be introduced. 3. Prerequisites • • A solid background in Probability and Statistics is required to be successful in this course. MATLAB will be used as a tool to solve assignment problems (primarily Matlab and the Optimization Toolbox). 4. Course Materials • Textbook (required): o Andrew K.S. Jardine, Albert H.C. Tsang. Maintenance, Replacement, and Reliability: Theory and Applications, CRC Press, Taylor & Francis Group, 2006. ISBN: 0849339669 • Available at the Concordia University Bookstore. • Put on reserve...
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...Coursework analysis Contents * Introduction of HSBC * Beta and CAPM model analysis * Advantages and disadvantages about the data * Advantages and disadvantages about the CAPM model * Conclusion * Appendix * Bibliography and references * INTRODUCTION OF HSBC HOLDINGS PLC HSBC Holdings Plc. is a global banking and financial services company headquartered in Canary Warf, London, United Kingdom. It was founded by the Hong Kong and Shanghai Banking Corporation in 1911. It was originally created to pursue and establish exchanges between Europe and Asia using the Midland Bank as a connecting link. The first branch was opened in 1865 in Hong Kong and Shanghai. Over the last century HSBC expanded from Asia to 4 other continents including Africa, Europe, North and South America. The financial statements show that HSBC has successfully established services in more than 87 countries, with more than 7,500 offices and more than 100 million customers. The annual statements indicated that its assets are more $2.418 trillion. HSBC is listed in the London Stock Exchange market. It is included in the FTSE 100 company list earning deservedly the 3rd place in the table list with the 10 largest companies measured by market capitalization with equity equal to £118 billion, coming after BHP Billiton with £148 billion and Royal Dutch Shell with £135 billion. FTSE 100 is arguable the most useful tool for the estimation of the market returns, which in later use...
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...Gold Fundamental Report February 2012 Disclaimer This report has been prepared by the Knowledge Management Department of NCDEX Limited for the purpose of information dissemination. The facts are reported from publications and have not been checked for authenticity. NCDEX and its employees will not be responsible for any decision taken by the reader based on this report and are adv advised to take independent advise on the commodity(is) dealt in this report . For more information contact Ashwin Dilip Vidhate Knowledge Management Group NCDEX Ltd. ashwin.vidhate@ncdex.com +91 022 6640 6836 2 Table of Contents 1. Introduction ....................................................................................................................................................................................... 4 2. Gold supply ........................................................................................................................................................................................ 5 Gold supply: Indian scenario............................................................................................................................................................ 14 3. Gold demand ..................................................................................................................................................................................... 15 Gold demand: Indian scenario ..................................................
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...and therefore less companies in the construction industry being liquidated. The question therefore is: Is there a significant correlation between the number of building plans being approved and the number of companies in the construction industry being liquidated? For ease of reference “Building Plans” will mean the number of building plans being approved and “Liquidations” will mean the number of companies in the construction industry being liquidated. DATA AND HYPOTHESES All data used in this assignment was obtained from Statistics South Africa (http://www.statssa.gov.za/timeseriesdata/excel_format.asp) and extracts thereof are provided in table format in Appendix A. The time period under evalution is January 2000 to October 2011. The raw monthly data was used. The null and alternative hypotheses are: H0: There is no significant linear relationship between Liquidations (dependent variable) and Building Plans (independent variable). H1: A significant linear relationship exists between Liquidations and Building Plans. RESULTS AND DISCUSSION 1 Description of data Excel was used to calculate descriptive statistics for the Building Plans and Liquidations. The results are as follows: |Liquidations |Building Plans | |Mean |24.18309859 |Mean ...
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...|Single Parenting and Unemployment | |State and Local Government | |Summer PSCI202-49X | |Sara Crook | |Mackenzie Rae Cooper | |7/20/2011 | |States that have a higher percentage of single parent families and/or unemployed are more likely to have higher welfare rates. | Introduction This paper will research how the percentages differ between unemployed single parent family homes opposed to homes where there is more than one parent living on a state to state basis and the relationship to welfare expenditures of each state. Because I’m a single parent receiving welfare it has intrigued me as to how many others out that are in my situation. I feel that welfare is being abused by many and there shall...
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...McDonald's or Starbucks: Who wins? - 1 - investing strategy - MSN Money http://money.msn.com/investment-advice/mcdonalds-or-starbucks-who-... More Hotmail Messenger Bing Make MSN your homepage Sign in Like 128k MONEY HOME NEWS INVESTING PERSONAL FINANCE MY MONEY REAL ESTATE CAREERS AUTOS TAXES Follow portfolio manager Enter a name or symbol markets GET QUOTE stocks mutual funds etfs broker center investor pro top stocks E*TRADE: 5 Star Trading Tools U.S. markets closed DJIA 13,228.31 +23.69 +0.18% NASDAQ 3,069.20 +18.59 +0.61% S&P 1,403.36 +3.38 +0.24% 7/5/2011 4:35 PM ET | By Michael Brush, MSN Money McDonald's or Starbucks: Who wins? The purveyor of burgers is going upscale, treading on turf that the coffee titan has trolled for years. Which company will prevail? And what's the effect on consumers? Share 941 Tweet 26 Like 76 109 Would you like some fries with that cinnamon dolce latte? OK, you probably won't hear that question any time soon. But in an odd twist in the evolutionary path of quick-serve eateries, McDonald's (MCD +1.62%, news) and Starbucks (SBUX -5.32%, news) are looking more alike every day. It's a trend that's going to continue, for a few simple reasons. With a McDonald's or a Starbucks just about everywhere you look, both companies are running out of room to roam. Starbucks was once expanding so rapidly that comedians joked it would be opening new coffee shops inside the bathrooms...
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...Monthly Update | March 2011 April 4, 2011 Yaresh Kothari +91 22 39357800 Ext: 6844 yareshb.kothari@angelbroking.com Automobile Sector Steady growth Automakers maintained their strong volume momentum in March 2011, recording double-digit sales growth. Despite expectations of a slowdown in demand due to higher interest rates and product price increases, volume growth remained buoyant on the back of positive consumer sentiment and heavy discounts offered by OEMs and dealers to clear their year-end inventory. Among the majors, Maruti, Hero Honda, TVS Motor and Ashok Leyland reported better-than-expected numbers for the month. Going ahead, however, hikes in product prices, increased fuel price along with higher interest rates would be the major headwinds that could impact performance of the players. Tata Motors (TML) reported 10.9% yoy (7.5% mom) growth in total volumes, led by better-than-expected numbers in the commercial vehicles (CV) segment. Growth in the CV segment was led by a bounce back in M&HCV and LCV sales, which registered strong growth of 11.8% (30.6% mom) and 23.1% yoy (15.7% mom), respectively. In the PV segment, TML reported a 0.4% yoy (12.9% mom) drop in offtake, largely due to a 40.3% yoy (30.9% mom) decline in Indica dispatches. Nano volumes remained strong, posting 84.9% yoy growth. Ashok Leyland (ALL) posted better-than-expected numbers during the month, registering a strong 20.9% yoy (24.2% mom) increase in volumes to 12,168 units. Volume growth during...
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...Empirical Analysis Using Data on Bank Loans and Investment Flows | Apr. 23, 2014 | Financial System Report (April 2014) | Apr. 23, 2014 | New Financial Activity Indexes: Early Warning System for Financial Imbalances in Japan | Mar. 31, 2014 | Survey on Core Deposit Modeling in Japan: Toward Enhancing Asset Liability Management | Feb. 7, 2014 | Estimation of Firms' Default Rates in terms of Intangible Assets | Jan. 17, 2014 | Benchmarking of Unconditional VaR and ES Calculation Methods: A Comparative Simulation Analysis with Truncated Stable Distribution | Oct. 23, 2013 | Financial System Report (October 2013) | Sep. 24, 2013 | Risk Aggregation by a Copula with a Stressed Condition | Jul. 26, 2013 | Financial Results of Japan's Banks for Fiscal 2012 | May 2, 2013 | Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach | Apr. 17, 2013 | Financial System Report (April 2013) | Mar. 25, 2013 | Banks' Stockholdings and the Correlation between Bonds and Stocks: A Portfolio Theoretic Approach | Mar. 19, 2013 | What is the Major Determinant of Credit Flows through Cross-Border Banking? | Mar. 15, 2013 | Questionnaire Survey on Business Continuity Management (September 2012) | Mar. 1, 2013 | Welfare Analysis of Policy Measures for Financial Stability | Feb. 20, 2013 | Impact of Macroprudential Policy Measures on Economic Dynamics: Simulation Using a Financial Macro-econometric Model | Feb. 1, 2013...
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