...working on the project for science, this way they could do experiments that could be tried in space. The thing is about working on this type of large scale is that they would have to develop a material to be able to with stand the amount of material that would be place into the building of the space elevator. Currently this project has been placed on the back burner because of the material they would need. One of the things they would have to have is the material that would be stronger by 100 times than the current steel. The only material that is even close to what is needed is carbon nanotubes. The thing is about nanotubes is that we ca make it very well but we haven’t been able to make it in a high quality manner that is over a meter long and what is needed for the project is over hundred miles of the tubing. It is said that by 2025 the technology will be there to be able to create the material to be able to hold the structure for the space elevator, while google still is keeping this as part of their project, the outcome is quite a spectacular idea to bring. There are many thing to consider with this technology. The idea is that in the next five to ten years we will be able to have the technology to perfect the carbon nanotube and by the time they are to get the construction under way it will take another ten to fifteen years after that to be able to work on a structure like this. To support this idea google has to come up with a way even after they have figured out the amount...
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...Unilever (Smith, 2014). Unilever is just one of many Hampton Creek’s competitors that creates Hellmann’s mayonnaise and believed that the mayo created by HC was falsely advertising its product because it does not includes eggs (Smith, 2014). The overall point of the article focuses on how Hampton Creek utilizes data mining to create more than just healthy food; data mining is utilized to find the best-tasting substitutes for unhealthier foods to change the future of food production (Smith, 2014). In doing so the company is in the process of creating less expensive foods with less water and using less land so that the product is more sustainable and free of GMOs and other unnatural ingredients (Smith, 2014). This article relates to unit two because in chapter 5 of the text book Kotler and Keller (2012) states that data mining can be utilized in a way for business management can gain a competitive advantage (p. 144). Data mining is a process that allows data collection via cluster analysis, automatic interaction detection, predictive modeling, neural networking and even regression (Kotler, & Keller, 2012). It is also a process that can predict future prospects, the best marketing mediums, loyal customers, frequent customer purchases, and serious or potential risks within the business (Hormazi, & Giles, 2012). The article also focuses on Hampton Creek’s use of data mining, the company chooses the best plant protein out of 18 billion to develop valuable products...
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...Self-Introductory Speech: The One Thing in My Life That Changed My Career Goal without Me Even Knowing Till Now. Lucrecia Paige Mosley Public Speaking March 3, 2014 Mrs. Nicole Harmon INTRODUCTION: Learning is fundamental. Where would we all be without all of the great teachers who spent their time helping us learn about ourselves and the world? Good Evening ladies and gentlemen my name is Lucrecia Paige Mosley. Lucrecia, Yes I know a lot of people find that as an odd name but I got it from my pastor’s wife whom is also; my mom’s childhood friend. I am from Banner, MS and I am the third of five children. I have three sisters and one brother along with them I have two nieces and two nephews. I will be speaking to you today about the one thing in my life that changed my career goal without me even knowing till now. BODY: In my eleventh grade year of high school I was offered a job at the First Baptist Creative Learning Center. My mom is the one who told me about it when I got home from school. The daycare was the same daycare I went to as a kid and where I graduated from. I went the next day to meet with the lady that runs the center. I walk into the door the smell hit me like a memory train wasn’t a stinky smell it was like a clean mixed with baby lotion aroma. The director Mrs. Rosemary came out of her office minutes after I entered the door. She showed me all the classrooms, the lunch room, bathrooms, and finally my room. It was a four walled room with...
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...The Positive Theory of Accounting Outline In the text, Scott defines Positive accounting theory (PAT) as: “concerned with predicting such actions as the choices of accounting policies by firms and how firms will respond to proposed new accounting standards.” (263) PAT uses theory to predict the choices that management will make regarding their choice of accounting policies. This theory is introduced as a way to merge efficient securities markets with economic consequences. PAT takes the view that firms will conduct themselves in the way that maximizes their own best interests. Managers do not always do what is best for shareholders, but what will be the most beneficial to their organization. The choices that an organization makes are dependent on what industry they are in, and the factors within that industry An organization can be portrayed by the contracts it enters into. A firm’s contracts with employees, suppliers, lenders, and shareholders are central to its operations. The organization is inclined to keep these contract costs as low as possible. PAT emphasizes that an organization’s choice of accounting policies is motivated by keeping contract costs down. PAT does not propose that organizations completely identify what accounting policies they will use. Such specification is costly to commit to, and does not give management the opportunity to respond to unforeseen circumstances. Managers have flexibility to choose from a set of accounting policies, and...
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...after taking math and teaching classes he in term decided to become a writer. This was ultimately the best plan. Through Carlyle’s writings he was able to create a platform to voice his options on the issues he saw in the world. Carlyle Frequently did this, writing on many hot topics of the time such as the french revolution. This led Carlyle to become on of Victorian England’s most prominent literary figures. However...
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...where to cut costs and how to properly invest during the economic hardship, employees become disengaged due to their concern about what the future holds. Finding inspiration and motivation can be a real challenge when anxious about whether your position will be available tomorrow. It is during these times that management must carefully consider their strategy for keeping employees optimistic and engaged. Planning to survive the recession could have fatal implications if management is too short-sighted. Cutting costs alone will not see the company through the recession without seeing the investment opportunities that exist during these times; the most important of which is the investment in people. Managers at Bain & Company, Home Depot, and Best Buy have taken a variety of steps in the past to build and maintain talent during the recession; utilizing Schwartz’s value theory to keep employees engaged and motivated. According to Schwartz, values “represent broad goals that apply across contexts and time." He proposed that there are ten primary values that guide human behavior: Power, achievement, hedonism, simulation, self-direction, universalism, benevolence, tradition, conformity, and security. Shalom Schwartz, PhD (2012) explains that “values are critical motivators of behaviors and attitudes." Because of this, organizations often create strategy based on one or more these values to influence employee attitudes. Home Depot is aware of the importance of these values; utilizing...
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...Trends and Implementation Strategies for Business 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...
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...Assignment 1: DDS, BI, Business Analytics, and Predictive Analytics LaShonda Spell Prof. S. Mirajkar CIS 356 Operating a successful business today involves utilizing the correct tools to make the best decisions for that business. The main tools that are used for making critical business decisions are DSS, DDS, BI, Business Analytics and Predictive Analytics systems. The concepts/ systems mentioned assist management in the major decision-making processes by providing crucial operational data in comprehensible formats for monitoring/ reviewing and analyzing. Making the best decisions regarding business operations determine the success or failure of the company and ensures that all business strategies are implemented and effective. In this essay, there is a brief overview of the similarities/ differences, methodologies/ technologies and evaluation of the capabilities of DDS, BI, Business Analytics and Predictive Analytics systems. Similarities and Differences among DDS, BI, Business Analytics, and Predictive Analytics regarding business scope/origins /histories/ methodologies/ technologies DDS (Data Distribution Service) are data communications based on the standards managed by the OMG (Object Management Group). The standards set by the OMG of DDS describe different latency levels of data communications for distributed applications (Twin Oaks Computing, Inc., 2011). DDS standard support data defining applications, dynamic publishing/ subscribing discovery and QoS policy...
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...Talent Management Strategy Dr. Daniel Frost HRM532- Talent Management May 15, 2015 Companies have always had a focus on talent management; however, it was a very basic focus on acquiring, hiring and retaining employees. As companies evolved, their focus began to shift to create a higher performing workforce. They found that the key to igniting optimal performance is aligning the company strategy with talent management. Formulate a talent management strategy to encompass the entire talent requirements of the organization. According to Nancy Lockwood, talent management is the primary driver for organizational success. It is the implementation of integrated strategies or systems designed to increase workplace productivity by developing improved processes for attracting, developing, retaining and utilizing people with the required skills and aptitude to meet current and future business needs (Lockwood, 2006). By implementing an effective talent management process the company is more prepared to compete and improve their recruiting process. An effective talent management strategy consists of the following: Align the talent management plan with the company’s strategic plan and overall business need. By aligning this goal, it allows management to clarify job roles for individuals and add value to the employees in the organization by engaging them and taking ownership in the success of the company. All the employees in the organization understand what is expected of...
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...Data mining is an iterative process of selecting, exploring and modeling large amounts of data to identify meaningful, logical patterns and relationships among key variables. Data mining is used to uncover trends, predict future events and assess the merits of various courses of action. When employing, predictive analytics and data mining can make marketing more efficient. There are many techniques and methods, including business intelligence data collection. Predictive analytics is using business intelligence data for forecasting and modeling. It is a way to use predictive analysis data to predict future patterns. It is used widely in the insurance, medical and credit industries. Assessment of credit, and assignment of a credit score is probably the most widely known use of predictive analytics. Using events of the past, managers are able to estimate the likelihood of future events. Data mining aids predictive analysis by providing a record of the past that can be analyzed and used to predict which customers are most likely to renew, purchase, or purchase related products and services. Business intelligence data mining is important to your marketing campaigns. Proper data mining algorithms and predictive modeling can narrow your target audience and allow you to tailor your ads to each online customer as he or she navigates your site. Your marketing team will have the opportunity to develop multiple advertisements based on the past clicks of your visitors. Predictive...
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...able to provide a creative idea that he thought would work based off of things he has experienced. Fortunately for Amazon, his intuitive idea was a success and “Amazon now sells more Kindle books than paperback books”. On the other hand, the development of the Kindle also reveals Bezos’s ability to think systematically. Systematic thinking involves a “rational, step-by-step, analytical” approach to problem solving. Someone who thinks systematically tends to use facts and details to lead him/her to decisions. Also, systematic thinkers often break down problems into smaller issues and attack them one by one. In this case study dealing with Amazon, Bezos used his intuition to create the idea, but then researched the target market to further develop the Kindle. This rational thinking led the company to create the Kindle so that it could “download and store e-books, RSS feeds, Microsoft Word Documents, and digital pictures”. Using the facts from his research,...
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...because we learn everything new everyday without realizing it sometimes. Even being bored generates interest in anything because you can begin by asking yourself why you are even bored. This can lead to more questions and to even more answers. When huge amounts of information is being thrown at you, you could shift through all the data and organize it into different categories so you can establish the relationships between each information to help you understand what you have gather much easier. The world is full of unknown and discovering new things can help change who you are and what you do for future benefits. Willing to take the risks at challenging tasks, it may sound foolish to tackle these things but in the end you gain valuable lessons from it and can use it for the future. Being able to gather knowledge from different environments and present them in new ways to create good opportunities. When faced with a task and hardships that follow, it is good to experience that discomforting situation in order to learn how to endure it and get through with it. Nothing good comes easy. After reading this article I feel that there are so many things to do and learn that can help motivate myself to improve and grow. It is important that I become more open to new things so I can experience the good things that can also be overshadowed by bad things. Motivation - I'm just not in the mood Pg 57-59 This article talks motivation is an established habit developed through...
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...Business Strategy Formulation: Theory, Process, and the Intellectual Revolution Anthony W. Ulwick QUORUM BOOKS Business Strategy Formulation Business Strategy Formulation Theory, Process, and the Intellectual Revolution Anthony W. Ulwick QUORUM BOOKS Westport, Connecticut • London Library of Congress Cataloging-in-Publication Data Ulwick, Anthony W., 1957– Business strategy formulation : theory, process, and the intellectual revolution / Anthony W. Ulwick. p. cm. Includes bibliographical references and index. ISBN 1–56720–273–X (alk. paper) 1. Strategic planning. I. Title. HD30.28.U44 1999 658.4'012—dc21 99–13714 British Library Cataloguing in Publication Data is available. Copyright ᭧ 1999 by Anthony W. Ulwick All rights reserved. No portion of this book may be reproduced, by any process or technique, without the express written consent of the publisher. Library of Congress Catalog Card Number: 99–13714 ISBN: 1–56720–273–X First published in 1999 Quorum Books, 88 Post Road West, Westport, CT 06881 An imprint of Greenwood Publishing Group, Inc. www.quorumbooks.com Printed in the United States of America The paper used in this book complies with the Permanent Paper Standard issued by the National Information Standards Organization (Z39.48–1984). 10 9 8 7 6 5 4 3 2 1 Dedicated to my wife, Heather Lee, and our son, Anthony—my sources of love and inspiration. Contents Preface Acknowledgments Introduction 1. The...
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...your eyes. An illusion is proof that you don't always see what you think you do because of the way your brain and your entire visual system perceive and interpret an image. Visual illusions occur due to properties of the visual areas of the brain as they receive and process information. Your perception of an illusion has more to do with how your brain works and less to do with the optics of your eye. Everything that enters the senses needs to be interpreted through the brain, and these interpretations occasionally go wrong. Illusions, may serve as a test to determine whether scientists understand vision correctly. When light hits our retina in the eye, about one-tenth of a second goes by before the brain translates that into a visual perception of the world. Our brains compensate for this neural delay and so it attempts to generate an image of what it will perceive one-tenth of a second in the future. Optical illusions occur when what our brains predict does not match the reality. A better way to think of it is in order to compensate for this massive loss of information and provide us with visual perceptions that are rich in contrast, color, and movement, the brain introduces abstract parameters that often fill in or amplify the fragments of reality that it is given to work with. The brain's powers to interpret visual information in this way are so great that it sometimes creates an impression of coherence where there is none, in other words, an optical illusion. Also it's...
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...TDWI BEST PRACTICES REPORT FIRST QUARTER 2007 PREDICTIVE ANALYTICS Extending the Value of Your Data Warehousing Investment By Wayne W. Eckerson Research Sponsors MicroStrategy, Inc. OutlookSoft Corporation SAS SPSS Sybase, Inc. Teradata, a division of NCR www.tdwi.org PREDICTIVE ANALYTICS Extending the Value of Your Data Warehousing Investment By Wayne W. Eckerson Table of Contents Research Methodology and Demographics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 What Is Predictive Analytics? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 The Business Value of Predictive Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Measuring Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 How Do You Deliver Predictive Analytics? . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 11 The Process of Predictive Modeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1. Defining the Project. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2. Exploring the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3. Preparing the Data . . . . . . . . . . . . . . . . . ...
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