Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.
A simple, straightforward guide to the fundamentals of technical analysis Technical analysis is a collection of techniques designed to help you make trading decisions in securities markets. Technical Analysis For Dummies helps you take a hard-headed look at what securities prices are actually doing rather than what economists or analysts say they should be doing, giving you the know-how to use that data to decide whether to buy or sell individual securities. Since the publication of the first edition, readers have been faced with many changes, such as new interest rates, looming bank crises, and adjusting market climates. This new edition provides an updated look at unique formulas and key indicators, as well as refreshed and practical examples that reflect today today's financial atmosphere. Determine how markets are performing and make decisions using real data Spot investment trends and turning points Improve your profits and your portfolio performance With straightforward coverage of concepts and execution, Technical Analysis For Dummies shows you how to make better trading decisions in no time.
Tested and proven strategy to develop optimal automated process fault analyzers Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. MOME was created at the University of Delaware by the researchers who developed the FALCON system, a real-time, online process fault analyzer. The authors demonstrate how MOME is used to diagnose single and multiple fault situations, determine the strategic placement of process sensors, and distribute fault analyzers within large processing systems. Optimal Automated Process Fault Analysis begins by exploring the need to automate process fault analysis. Next, the book examines: Logic of model-based reasoning as used in MOME MOME logic for performing single and multiple fault diagnoses Fuzzy logic algorithms for automating MOME Distributing process fault analyzers throughout large processing systems Virtual SPC analysis and its use in FALCONEER IV Process state transition logic and its use in FALCONEER IV The book concludes with a summary of the lessons learned by employing FALCONEER IV in actual process applications, including the benefits of «intelligent supervision» of process operations. With this book as their guide, readers have a powerful new tool for ensuring the safety and reliability of any chemical processing system.
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication: Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems Extensions and Applications features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems Advanced Topics explores complex methods including simulation optimization, active learning in mathematical programming, and optimal continuous measurements Each chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduction to learning and a variety of policies for learning.
An updated look at security analysis and how to use it during tough financial times Due to the current economic climate, individual investors are starting to take much more time and effort to really understand their investments. They've been investing on their own in record numbers, but many have no idea how to handle the current financial crisis. This accessible guide shows you how to take control of your investment decisions by mastering security analysis. This fully updated Second Edition of Getting Started in Security Analysis covers everything you need to fully grasp the fundamentals of security analysis. It focuses on the practical mechanics of such vital topics as fundamental analysis, security valuation, portfolio management, real estate analysis, and fixed income analysis. Easy-to-follow instructions and case studies put the tools of this trade in perspective and show you how to incorporate them into your portfolio Along with dozens of examples, you'll find special quiz sections that test your skills Focuses on key security analysis topics such as deciphering financial statements, fixed-income analysis, fundamental analysis, and security valuation If you want to make better investment decisions, then look no further than the Second Edition of Getting Started in Security Analysis.
Praise for the First Edition “…a well-written book on data analysis and data mining that provides an excellent foundation…” —CHOICE “This is a must-read book for learning practical statistics and data analysis…” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.
Chart Your Way to Profits shows you how to harness the technology available on www.prophet.com to analyze markets and make informed trading decisions. It discusses the fundamentals of technical analysis and shows you how to design your own charts and indicators in a way that enables you to easily monitor the markets and make solid trading decisions.
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple «top-down» method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Aquaculture Economics and Financing: Management and Analysis provides a detailed and specific set of guidelines for using economic and financial analysis in aquaculture production. By discussing key issues such as how to finance and plan new aquaculture business, how to monitor and evaluate economic performance, and how to manage capital, labor, and business risk, the book equips aquaculture professionals, researchers, and students with important information applicable to a wide range of business decisions. Chapters address each stage of developing an aquaculture business, including financing, marketing, and developing a business plan to managing cash flows and analyzing financial statements. Each chapter includes a detailed example of practical application taken from every-day experience. Written in straightforward terminology facilitating ready application, Aquaculture Economics and Financing: Management and Analysis is an essential tool for analyzing and improving financial performance of aquaculture operations.
Determine the strength of any business with fundamental analysis Have you ever wondered the key to multibillionaire Warren Buffet's five-decade run as the most successful investor in history? The answer is simple: fundamental analysis. In this easy-to-understand, practical, and savvy guide, you'll discover how it helps you assess a business' overall financial performance by using historical and present data to forecast its future monetary value—and why this powerful tool is particularly important to investors in times of economic downturn. It's more important than ever for investors to know the true financial stability of a business, and this new edition of Fundamental Analysis For Dummies shows you how. Whether you're a seasoned investor or just want to learn how to make more intelligent and prudent investment decisions, this plain-English guide gives you practical tips, tricks, and trade secrets for using fundamental analysis to manage your portfolio and enhance your understanding of shrewdly selecting stocks! Predict the future value of a business based on its current and historical financial data Gauge a company's performance against its competitors Determine if a company's credit standing is in jeopardy Apply fundamental analysis to other investment vehicles, like currency, bonds, and commodities With the help of Fundamental Analysis For Dummies, you just may find the bargains that could make you the next Warren Buffet!
Computational Optimal Control: Tools and Practice provides a detailed guide to informed use of computational optimal control in advanced engineering practice, addressing the need for a better understanding of the practical application of optimal control using computational techniques. Throughout the text the authors employ an advanced aeronautical case study to provide a practical, real-life setting for optimal control theory. This case study focuses on an advanced, real-world problem known as the “terminal bunt manoeuvre” or special trajectory shaping of a cruise missile. Representing the many problems involved in flight dynamics, practical control and flight path constraints, this case study offers an excellent illustration of advanced engineering practice using optimal solutions. The book describes in practical detail the real and tested optimal control software, examining the advantages and limitations of the technology. Featuring tutorial insights into computational optimal formulations and an advanced case-study approach to the topic, Computational Optimal Control: Tools and Practice provides an essential handbook for practising engineers and academics interested in practical optimal solutions in engineering. Focuses on an advanced, real-world aeronautical case study examining optimisation of the bunt manoeuvre Covers DIRCOL, NUDOCCCS, PROMIS and SOCS (under the GESOP environment), and BNDSCO Explains how to configure and optimize software to solve complex real-world computational optimal control problems Presents a tutorial three-stage hybrid approach to solving optimal control problem formulations
Make more informed project investment decisions by knowing what issues to examine in the planning process and how to analyze their impacts Poor or insufficient planning is primarily responsible for the inordinate number of idle and rusting capital facilities around the world, with investment decisions often made on the basis of either intuition or inadequate analysis. Investment Project Design: A Guide to Financial and Economic Analysis with Constraints alerts potential investors and other stakeholders to precipitous changes in the investment milieu as a result of constraints on resources and infrastructure, economic and political turmoil, and population growth. The guide Includes descriptions of specific methods of financial and economic analysis for new investments and for expansion of an existing enterprise Covers project risk assessment, mitigation and avoidance Provides real-life case studies, adapted for presentation, and addresses the design of projects large and small, as well as those in both private and public sectors Features spreadsheet layouts and computations Investment Project Design is the ultimate resource in the methods of designing and appraising investment projects
From formulation to implementation, an approach to the analysis of social policy through the lens of research Analyzing Social Policy prepares professionals and students to make better informed decisions related to identifying and understanding the intricacies and potential impact of social policymaking and enactment on their organization as well as their individual responsibilities, goals, and objectives. Authors Mary Katherine O'Connor and F. Ellen Netting thoroughly examine various approaches to the analysis of social policies and how these approaches provide the knowledge, multiple perspectives, and other resources to understand and grasp the nuances of social policy in all its complexity. Comprehensive and based on research, Analyzing Social Policy explores: An overview of the practice of social policy analysis The role of research in guiding policy analysis The idea of policy analyses as research Themes, assumptions, and major theories that undergird rational models of policy analysis Nonrational themes, assumptions, and major theories informing nontraditional interpretive and critical approaches to policy analysis Strategies for applying selected models and approaches when engaging in policy analysis as research Providing practitioners and students with a set of tools that can be used to enhance an understanding of what constitutes policy as well as acceptable standards for critical analysis of policy, this resource enables policy advocates—regardless of their level—to be political, strategic, and critical in their work.