Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.Explore the basic concepts of color as a tool to highlight, distinguish, or represent a valueUnderstand the importance of redundant coding to ensure you provide key information in multiple waysUse the book's visualizations directory, a graphical guide to commonly used types of data visualizationsGet extensive examples of good and bad figuresLearn how to use figures in a document or report and how employ them effectively to tell a compelling story

    In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills.Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved.Learn a framework for scoping data projectsUnderstand how to pin down the details of an idea, receive feedback, and begin prototypingUse the tools of arguments to ask good questions, build projects in stages, and communicate resultsExplore data-specific patterns of reasoning and learn how to build more useful argumentsDelve into causal reasoning and learn how it permeates data workPut everything together, using extended examples to see the method of full problem thinking in action

    Businesses of the future need all hands on deck when implementing new ways to stimulate grown and cost efficiency, and this includes human resources. In HR Transformation, the team presents a four-phase model of transformation that shows you step-by-step how to make meaningful progress in contributing to the performance of your company by redesigning HR to work as a strategic partnership.From the "#1 Management Educator & Guru"-BusinessWeek"The authors have presented us with an accessible, readable, and practical illustration of a clear path for successful strategy execution in a complex environment." -Majed Al Romaithi, Executive Director, Abu Dhabi Investment Authority"HR can only transform organizations if it transforms HR. This book shows us how. HR Transformation would have been important in the past-it is critical now! We are entering a new world. HR Transformation can help our organizations thrive in the midst of uncertainty." -Marshall Goldsmith, author of the Wall Street Journal bestsellers What Got You Here Won't Get You There and Succession: Are You Ready? "Ulrich and his colleagues talk tough and provide a detailed blueprint for how those of us in the field can use our own tools to do a "720-degree" evaluation of ourselves. We cannot contribute to the success of our organizations until we upgrade ourselves." -Linda A. Hill, Wallace Brett Donham Professor of Business Administration, Harvard Business School"Based on groundbreaking research with hundreds of companies and thousands of executives, HR Transformation provides compelling theory and practical tools to create alignment between strategy, systems, and people. This important book should be read carefully by leadership teams everywhere." -Mark Huselid, Professor of HR Strategy, Rutgers University, Co-author of The HR Scorecard, The Workforce Scorecard, and The Differentiated WorkforceTurn to the front matter for more than thirty rousing endorsements of HR Transformation.INCLUDES CASE STUDIES FROM Intel, Pfizer, Takeda, Flextronics

    This is complexity. But too many leaders approach complexity the wrong way - they push their people harder and harder and tackle problems one at a time over months, sometimes even years, and nearly always in a linear fashion. It's like setting a pot of water on "low" and waiting for it to boil. To solve the seemingly intractable challenges that leaders bang their heads against for months - to get the metaphorical water to boil - you must generate a high amount of heat very quickly. In this book, the authors share their proven formula for dramatically shortening the process and solving an organization's toughest challenges in mere days.

    Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution.

    Tom has a simple philosophy: you can treat Oracle as a black box and just stick data into it or you can understand how it works and exploit it as a powerful computing environment. If you choose the latter, then you’ll find that there are few information management problems that you cannot solve quickly and elegantly. This fully revised second edition covers the latest developments in Oracle Database 11g. Each feature is taught in a proof-by-example manner, not only discussing what it is, but also how it works, how to implement software using it, and the common pitfalls associated with it. Don’t treat Oracle Database as a black-box. Get this book. Get under the hood. Turbo-charge your career. Fully-revised to cover Oracle Database 11g Proof-by-example approach: Let the evidence be your guide Dives deeply into Oracle Databases’s most powerful features What you’ll learn Develop an evidence-based approach to problem solving Manage transactions in highly concurrent environments Speed access to data through table and index design Manage files and memory structures for performance and reliability Scale up through partitioning and parallel processing Load and unload data to interface with external systems Think for yourself; don’t take Tom’s word for it! Who this book is for This book is aimed at Oracle Database administrators, at PL/SQL and Java developers writing code to be deployed inside the database, and at developers of external applications who use Oracle Database as a data store. It is the go to book for those wishing to create efficient and scalable applications.

    This title provides hundreds of ready-made phrases that you can use to describe any employee's performance in 74 different skill areas.

    

    With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.

    It provides a thorough understanding of the fundamentals of Data Warehousing and aims to impart a sound knowledge to users for creating and managing a Data Warehouse.The book introduces the various features and architecture of a Data Warehouse followed by a detailed study of the Business Requirements and Dimensional Modelling. It goes on to discuss the components of a Data Warehouse and thereby leads up to the core area of the subject by providing a thorough understanding of the building and maintenance of a Data Warehouse. This is then followed up by an overview of planning and project management, testing and growth and then finishing with Data Warehouse solutions and the latest trends in this field. The book is finally rounded off with a broad overview of its related field of study, Data Mining. The text is ably supported by plenty of examples to illustrate concepts and contains several review questions and other end-chapter exercises to test the understanding of students. The book also carries a running case study that aims to bring out the practical aspects of the subject. This will be useful for students to master the basics and apply them to real-life scenario.

    The man or woman who works eighteen-hour days and eats his or her meals on the run between appointments is usually viewed with a combination of respect and awe. But for many, this lifestyle leads to family problems, a decline in work productivity, and ultimately to physical and mental collapse.Chained to the Desk, best-selling author and widely respected family therapist Bryan E. Robinson's groundbreaking book, originally published in 1998, was the first comprehensive portrait of the workaholic. Thousands benefited from this innovative book, which profiles the myths behind this greatly misunderstood disorder and the inner psychological battle that work addicts wage against themselves. Intended for anyone touched by what Robinson calls "the best-dressed problem of the twenty-first century," the author also provides an inside look into the impact on those who live and work with them --partners, spouses, children, and colleagues--as well as the appropriate techniques for clinicians who treat them.In this new and updated edition, Robinson portrays the many different kinds of workaholism, drawing on hundreds of case reports from his own original research and years of clinical practice. From California to the Carolinas, men and women tell of their agonizing bouts with workaholism and the devastations left in its wake, struggles made all the more challenging in a world where the computer, cell phone, and Blackberry allow twenty-four-hour access to the office, even on weekends and from vacation spots. Adult children of workaholics describe their childhood pain and the lifelong legacies they still carry, and the spouses or partners of workaholics reveal the isolation and loneliness of their vacant relationships. Employers and business colleagues discuss the cost to the company when workaholism dominates the workplace.Chained to the Desk both counsels and consoles. It provides a step-by-step guide to help readers spot workaholism, understand it, and recover. Robinson presents strategies for workaholics and their loved ones on how to cope, and for people in the workplace on how to distinguish between work efficiency and workaholism.

    one in 25 of the people around you is a psychopath, hiding and living a secret life. Psychopaths take what they want, using their charm and wits. They feel only the emotions of a predator. In this book Pieter Hintjens decodes the mystery of the psychopath. Why do such people exist? How do they operate? And most critical of all, can we learn to avoid them, or escape them? The answers will enlighten you. This book delivers practical tools and techniques to survive the most difficult people.

    Providing tactical wireless security implementation coverage by showing how to execute the attacks and implement the defenses, this title demonstrates how attackers identify and exploit wireless network weaknesses and covers various wireless technologies - WiFi/802.11, Bluetooth, IRDA, 3G Wireless, and more.