...Storage Infrastructures for Big Data Workflows Sponsored by: Prepared by: Eric Slack, Sr. Analyst May 2012 Storage Infrastructures for Big Data Workflows Introduction Big Data is a term used to describe data sets which have grown so large that traditional storage infrastructures are ineffective at capturing, managing, accessing and retaining them in an acceptable time frame. The thing that separates Big Data from simply a large archive is the need to process these data sets or to provide file access to multiple users quickly. Some Big Data use cases involve analytics, the computer-based analysis of large amounts of relatively small data objects, for the purpose of pulling business value from that information. Many of these involve files supporting transaction analysis or automated event processing, such as database or web analytics, which won’t be addressed in this white paper. Instead, this paper will deal with another form of Big Data that supports file processing workflows, often sequential in nature, where large files are shared by knowledge workers to create digital products, support research and perform analysis to increase productivity. Also considered will be Big Data supporting large file analytics in which files are shared by large, high performance compute clusters to support complex analysis and drive business decisions. Big Data File Processing Workflows Some of the industries using large file, Big Data sets in these two use cases include Media and Entertainment...
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...is owned and operated by Forbes.com LLC. Forbes has been awarded TRUSTe's Privacy Seal signifying that this privacy policy and practices have been reviewed by TRUSTe for compliance with TRUSTe's program requirements including transparency, accountability and choice regarding the collection and use of your personal information. TRUSTe's mission, as an independent third party, is to accelerate online trust among consumers and organizations globally through its leading privacy trustmark and innovative trust solutions. If you have questions or complaints regarding our privacy policy or practices, please contact us by email at privacy@forbes.com. If you are not satisfied with our response you can contact TRUSTe here. Forbes complies with the U.S. - E.U. Safe Harbor Framework and the U.S. - Swiss Safe Harbor Framework as set forth by the U.S. Department of Commerce regarding the collection, use, and retention of personal data from European Union member countries and Switzerland. Forbes has certified that it adheres to the Safe Harbor Privacy Principles of notice, choice, onward transfer, security, data integrity, access, and enforcement. To learn more about the Safe Harbor program, and to view Forbes' certification, please visit http://www.export.gov/safeharbor/. The TRUSTe program covers only information that is collected through this website, and does not cover information that may be collected through software downloaded from the site. Summary Our primary goal in collecting user...
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...Jacob Moore GBA 673 Business Intelligence Jacob Moore GBA 673 Dr. Lara Preiser-Houy, CDP August 20th, 2013 1|Page Jacob Moore GBA 673 Table of Contents Abstract ....................................................................................................................................................... 3 Introduction ............................................................................................................................................... 3 Background ................................................................................................................................................ 4 Conceptualization ..................................................................................................................................... 4 BI 1.0 ......................................................................................................................................................... 4 BI 2.0 ......................................................................................................................................................... 5 BI 3.0 ......................................................................................................................................................... 5 Opportunities ............................................................................................................................................ 6 Challenges ........................................
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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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...KARL LOUIE ANJELO M. YU JULY 17, 2014 PRN MKT-BMM0918 PROF. NITTO P. VICTORIA ------------------------------------------------- _________________________________________________________________________________________________________ Parts of the growth-share matrix The growth-share matrix helps organizations assess its companies and business units on two levels. The first is its level of growth within the market, while the second measures its market share relative to the competition within its industry. To help businesses further analyze its assets, the matrix divides the business units or products into four categories, including: Stars: The business units or products that have the best market shares and generate the most cash are considered stars. However, because of their high growth rate, stars also consume large amounts cash. This generally results in the same amount of money coming in that is going out. Stars can eventually become cash cows if they sustain their success until a time that the market growth rate declines. Cash cows: Cash cows are the leader in the marketplace and generate more cash than they consume. These are business units or products that have a high market share, but a low growth prospects. According to NetMBA, cash cows provide the cash required to turn question marks into market leaders, to cover the administrative costs of...
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...Applied Strategic Marketing Report 2013-2014 "The Benefits and Challenges of Multichannel Attribution in Marketing Analytics" by Alan K H Hsu 00849147 Word count: 4990 A report submitted in partial requirements of the MSc in Strategic Marketing degree 1 24th August 2014 Table of Contents Executive summary .................................................................................................. 1 Introduction .............................................................................................................. 2 Literature review ....................................................................................................... 4 The emergence and influence of Big Data ............................................................. 4 Attribution theory .................................................................................................... 6 Last-click attribution modelling ............................................................................... 7 MCAM .................................................................................................................. 10 Discussion .............................................................................................................. 14 Benefits: clearer channels interactions ................................................................. 14 Benefits: better marketing decision and effective budget allocation ..................... 15 Benefits: stay justified...
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...PAGE 6 DOING MORE WITH LESS IN CUSTOMER SERVICE: Strategies and Best Practices Kana PAGE 7 HOW TO MAKE EVERY CUSTOMER CONVERSATION INTELLIGENT Oracle PAGE 8 TRANSFORMING SERVICE IN THE AGE OF THE CUSTOMER Verint PAGE 9 THE POWER OF WHY Astute Solutions PAGE 10 ENSURING CONSISTENT, ACCURATE AND TIMELY INFORMATION DELIVERY ACROSS ALL CHANNELS SYKES PAGE 11 INSIGHT TO CUSTOMER LOYALTY Using Customer Support to Observe Customers in Motion Convergys PAGE 12 LISTENING TO CUSTOMERS AND PROFITING FROM THEIR ADVICE Best Practices in VPI Voice Print Int’l PAGE 13 Contact Center FIVE PROVEN WAYS TO PROACTIVELY DELIVER AN EXCEPTIONAL CUSTOMER EXPERIENCE SOLUTIONS Produced by: CRM Media, LLC Autonomy etalk PAGE 14 UNSTRUCTURED AND UNDISCOVERED: Enabling the Intelligent Contact Center to Tap into a Hidden Wealth of Information 2 April 2007 Sponsored Content CRM magazine Best Practices Series: Contact Centers... The Heart (and Eyes and Ears) of CRM Multichannel contact centers are at the heart of one of the most exciting transformations in the way organizations communicate with their customers. It is this collaboration between people, process, and technology that promises to bring the best customer service to users, while enabling a crucial feedback channel to host organizations. We’re all familiar with the reasons why superior customer service is critical to retaining customers, improving satisfaction...
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...of Business, Hofstra University, Hempstead, New York, USA Ted McQuade PSC Metals, Cleveland, Ohio, USA Jaime Fitzgerald Fitzgerald Analytics, Inc., New York, New York, USA James Conner Bridgestone/America’s Tire Operations, Austin, Texas, USA Richard Miller Western Kentucky University, Bowling Green, Kentucky, USA, and William Murphree Bison Investments, Bowling Green, Kentucky, USA Abstract Purpose – During difficult economic times the media often highlight examples of failing or failed business organizations. In some cases the demise of corporations is examined in considerable detail often resulting in the following take-home messages: these are the sins that have brought about your failure; and if things had been done differently you might still be a viable company. This paper aims to point out success stories from creative leaders who successfully navigated through challenging environments. Design/methodology/approach – The paper draws on existing cases from the literature highlighting leaders who led their organizations to positive ends during turbulent times. Findings – There are opportunities for company success despite difficult business environments. Originality/value – It is rare to read about successful leadership practices during turbulent times. Yet, they do exist. The overwhelming number of examples and cases written about, however, are indeed in the negative direction, not the positive. Keywords Leadership, Organizational effectiveness, Chief executives...
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...Mayse, and Gina Glorioso Rendall Date of Submission: April 11, 2015 Title of Assignment: Global Expansion Project - Ancestry CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas of words, whether quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course. Student Signature: __Gina Glorioso Rendall__________ ******************************************* Instructor’s Grade on Assignment: Instructor’s Comments: AN EXECUTIVE BRIEFING ON [pic] Researched by Downtown Dominators Zachery Engels, Franklin Mayse, and Gina Glorioso Rendall Spring 2015 TABLE OF CONTENTS INTRODUCTION TO THE STUDY 5 DOMINANT MARKET ENVIRONMENT ASSESSMENT 5 INTRODUCTION 5 POLITICAL / REGULATORY 5 ECONOMIC: MACRO 5 TECHNOLOGY 6 SOCIETAL 6 INDUSTRY ANALYSIS AND COMPANY PERFORMANCE 6 SUMMARY 8 INTRODUCTION 9 FINANCIAL RESOURCE ASSESSMENT 9 CASH 9 MARKETABLE SECURITIES 9 LEVERAGE (ABILITY TO BORROW) 9 CREDIT RATING 10 STANDARD AND POOR RATING 10 PERSONNEL 10 BOARD 10 QUALITY OF MANAGEMENT (GLOBAL KNOWLEDGE/EXPERIENCE) 11 INFORMATION/TECHNOLOGY 11 TECHNICAL PRODUCTS 11 REPUTATION 12 QUALITY OF...
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...Medicaid Programs: R esponse to the May 2 Open Letter to the Healthcare Community Dan Olson, CFE June 2012 Tackling Fraud, Waste, and Abuse in the Medicare and Medicaid Programs White Paper C ontents I. Introduction ............................................................................................................ 1 II. Recommendations................................................................................................... 3 Recommendation 1 – Expand the Medicare Fraud Strike Force Model....................................... 3 Potential Savings .......................................................................................................................... 4 Recommendation 2 – Expand Integrated Data Repository .......................................................... 4 Potential Savings .......................................................................................................................... 5 Recommendation 3 – Expand “Do Not Pay List” .......................................................................... 5 Potential Savings .......................................................................................................................... 6 Recommendation 4 – Publicize Drug Expiration Dates ................................................................ 6 Potential Savings .......................................................................................................................... 6 Recommendation...
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...1. Executive Summary The key factor for success of any organization lies in the performance of their employees. As organisations grow and mature, managements try to adopt measures to improve the performance of their employees and a lot of questions arise on the best way to go about. Managing Director of Green Curve Interiors, an established interior design and build company, aims to implement an organizational behaviour aimed at ensuring improved job performance of their employees. This paper tries to answer one of his question, ”How does personality affect job performance among various occupational groups?”, by investigating the relation of the “Big Five” personality dimensions (Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness) to job performance for three occupational groups (Mangers, Skilled Workers and Sales). Office based employees at Green Curve Interiors were administered a widely acknowledged Big Five personality online test to obtain their personality trait score. Regression line and scatter charts were the tools used in our study to find the relation between the results of personality test score and job performance ratings. In our study we categorised green curve employees according to their occupational groups. From our analysis we found that conscientiousness was the best predictor for overall job performance among different occupational groups. We also found that extraversion and openness traits did not predict overall job performance, but...
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...opportunity of big data.” — Craig Vaughan Global Vice President at SAP “This timely book says out loud what has finally become apparent: in the modern world, Data is Business, and you can no longer think business without thinking data. Read this book and you will understand the Science behind thinking data.” — Ron Bekkerman Chief Data Officer at Carmel Ventures “A great book for business managers who lead or interact with data scientists, who wish to better understand the principals and algorithms available without the technical details of single-disciplinary books.” — Ronny Kohavi Partner Architect at Microsoft Online Services Division “Provost and Fawcett have distilled their mastery of both the art and science of real-world data analysis into an unrivalled introduction to the field.” —Geoff Webb Editor-in-Chief of Data Mining and Knowledge Discovery Journal “I would love it if everyone I had to work with had read this book.” — Claudia Perlich Chief Scientist of M6D (Media6Degrees) and Advertising Research Foundation Innovation Award Grand Winner (2013) www.it-ebooks.info “A foundational piece in the fast developing world of Data Science. A must read for anyone interested in the Big Data revolution." —Justin Gapper Business Unit Analytics Manager at Teledyne Scientific and Imaging “The authors, both renowned experts in data science before it had a name, have taken a complex topic and made it accessible to all levels, but mostly helpful to the budding data scientist. As far...
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...Robert Ronec PMP, PMOP, CSM, ITIL v3, CSSGB +1.704.779.0072 | robert@ronec.com PROFILE A dynamic, certified IT program and project manager, with broad expertise in all phases of project lifecycle planning and implementation. Highly skilled in solving complex engineering, operations and technology problems, along with managing budgets, risk and vendors. Extensive experience in bridging technology and business goals to provide productive solutions. Expertise in managing and working on large-scale development, rollouts, implementations, and migration projects. Depth of experience complemented by international leadership of large outsourcing and infrastructure projects. Diverse experience in many industries including technology, finance, entertainment, and consulting. Natural leader with the unique ability to empower and motivate teams. Big picture focus and flawless execution. Proven areas of expertise include: • Budget planning/management • Negotiations with clients & vendors • IT systems integration • Relationships development management • Software development/implementation • Program/Project management • Vendor Selection & Management • Proposal/project planning and WBS development • Global Project Team • Risk assessment/management • IT service management • Configuration/Asset Management QUALIFICATION HIGHLIGHTS • A tried and tested “hands-on” IT PM professional with experience in IT, ITSM, ERP, QA, Strategy Development, Process Improvement, Team...
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...•-V-? __ H U MAN RESOURCE GLOBAL EDITION THIRTEENTH EDITION MANAGEMENT GARY DESSLER FLORIDA INTERNATIONAL UNIVERSITY PEARSON Boston Columbus Indianapolis Dubai New York London Sydney San Francisco Madrid Hong Kong Milan Seoul Upper Saddle River Munich Paris Montreal Taipei Toronto Amsterdam Delhi Cape Town Mexico City Sao Paulo Singapore Tokyo G O N T E N TS Preface 23 Acknowledgments PART ONE 1 INTRODUCTION 27 28 28 30 Introduction to Human Resource Management What Is Human Resource Management? 30 Why Is Human Resource Management Important to All Managers? Line and Staff Aspects of Human Resource Management 32 Line Managers' Human Resource Duties 33 Human Resource Manager's Duties 33 New Approaches to Organizing HR 35 Cooperative Line and Staff HR Management: An Example Globalization and Competition Trends 37 Indebtedness ("Leverage") and Deregulation Technological Trends 38 Trends in the Nature of Work 39 35 WHAT IS HUMAN RESOURCE MANAGEMENT AND WHY IS IT IMPORTANT? 31 THE TRENDS SHAPING HUMAN RESOURCE MANAGEMENT 38 36 • HR AS A PROFIT CENTER: Boosting Customer Service Workforce and Demographic Trends 40 Economic Challenges and Trends 42 40 THE NEW HUMAN RESOURCE MANAGERS 43 Human Resource Management Yesterday and Today 43 They Focus More on Strategic, Big Picture Issues 43 • THE STRATEGIC CONTEXT: Building LL.Bean 43 44 They Use New Ways to Provide Transactional Services They Take an Integrated...
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...Improving Quality and Value in the U.S. Health Care System By: Niall Brennan, Nicole Cafarella, S. Lawrence Kocot, Aaron McKethan, Marisa Morrison, Nadia Nguyen, Mark Shepard and Reginald D. Williams II Share on email Share on twitter Share on facebook Share on linkedin More... Share on google_plusone_share Share on stumbleupon Share on reddit Share on print Executive Summary The U.S. health care system faces significant challenges that clearly indicate the urgent need for reform. Attention has rightly focused on the approximately 46 million Americans who are uninsured, and on the many insured Americans who face rapid increases in premiums and out-of-pocket costs. As Congress and the Obama administration consider ways to invest new funds to reduce the number of Americans without insurance coverage, we must simultaneously address shortfalls in the quality and efficiency of care that lead to higher costs and to poor health outcomes. To do otherwise casts doubt on the feasibility and sustainability of coverage expansions and also ensures that our current health care system will continue to have large gaps — even for those with access to insurance coverage. There is broad evidence that Americans often do not get the care they need even though the United States spends more money per person on health care than any other nation in the world. Preventive care is underutilized, resulting in higher spending on complex, advanced diseases. Patients with chronic diseases such as hypertension...
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