But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.

    Case studies, sample interviews, and a "Portfolio of Competencies" are just a few of the many tools that will help you master the material and become a better listener.

    The twelfth edition of "Earth Science "offers a user-friendly overview of our physical environment with balanced, up-to-date coverage of geology, oceanography, astronomy, and meteorology for the undergraduate student with little background in science. The emphasis is on readability, with clear example-driven explanations. The twelfth edition takes full advantage of the subject's visual appeal, with discussions reinforced by incredible color photos and superb illustrations by Earth science illustrator and geologist Dennis Tasa.

    This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra.

    Not only do the authors reveal why the world is so completely screwed up, but they provide proven techniques for creative control of personal, social, and business problems. They analyze the reasons for human failure and tell how to achieve a state of well-being by avoiding that unwanted, ultimate promotion.Students of Freud, Potter, and Parkinson will be fascinated by this satirical examination of man's tendency to escalate himself to oblivion at his level of incompetence.

    You'll find complete coverage of all exam objectives, including key topics such as project planning, execution, delivery, closure, and others. CompTIA's Project+ is the foundation-level professional exam in the complex world of project management; certified project managers often choose to go on and obtain their Project Management Professional (PMP) certifications as well Provides complete coverage of all exam objectives for CompTIA's first update to the Project+ exam in six years Covers project planning, execution, delivery, change, control, communication, and closure Demonstrates and reinforces exam preparation with practical examples and real-word scenarios Includes a CD with Sybex test engine, practice exams, electronic flashcards, and a PDF of the book Approach the new Project+ exam with confidence with this in-depth study guide! Reviews

    The book is divided into two parts. Part One focuses on the seven fundamental principles of good technical writing, such as knowing one's purpose and audience, thinking visually, and writing ethically. Part Two covers the formats of reports and correspondence. Four appendices contain three sample reports and a student proposal. The Elements of Technical Writing concentrates on the essentials, providing students with precisely the information needed to produce effective technical documents and no more.

    The best-selling brief introduction to public speaking, this succinct and inexpensive guide offers practical coverage of the material typically covered in a full-sized text -- from invention, research, and organization to practice and delivery -- in a concise, inexpensive format perfect for any setting across the curriculum, on the job, or in the community.

      An exceptional pedagogical package that ties the textbook to online MyDevelopmentLab study tools complements the student-centered approach of the book and offers students the benefit of frequent self-assessment.

    The applications and computations in operations research are emphasized. Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.

    This book is significant because it is not only thoughtfully developed and based on careful reading of the extensive literature on leadership and governance, but it is also deliberately intended to enable the author to bridge the gap between theories of organization, on one hand, and practical application, on the other. --Journal of Higher Education

    The new edition is an even more useful reference-with more on research and documentation and helpful disicipline-focused advice on writing.

    No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

    Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

    This accessible book introduces you to landmark studies as well as the cutting-edge research that defines this fascinating field. To help you further experiment with and understand the concepts in the text, you can use COGLAB 2.0: THE ONLINE COGNITIVE PSYCHOLOGY LABORATORY. Available at www.academic.cengage.com, COGLAB contains dozens of classic experiments designed to help you learn about cognitive concepts and how the mind works.