Product Description: Where do powerful strategies come from? How do some companies develop strategies that enable them to outperform others regardless of the state of their industry or the economic climate? How does a company get the essentials to work in regard to the company’s strategies, such as leadership buy-in and follow through on implementations and performance management, without being slow, rigid and check-box focused? These are some of the questions asked by Arve Peder Øverland in Always On: Digital Brand Strategy in a Big Data World...read more

Product Description: "Big data" poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning...read more

Product Description: Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption...read more

Beautiful Data is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our forms of attention, observation, and truth are contingent and contested, Orit Halpern historicizes the ways that we are trained, and train ourselves, to observe and analyze the world. Tracing the postwar impact of cybernetics and the communication sciences on the social and human sciences, design, arts, and urban planning, she finds a radical shift in attitudes toward recording and displaying information. These changed attitudes produced what she calls communicative objectivity: new forms of observation, rationality, and economy based on the management and analysis of data. Halpern complicates assumptions about the value of data and visualization, arguing that changes in how we manage and train perception, and define reason and intelligence, are also transformations in governmentality. She also challenges the paradoxical belief that we are experiencing a crisis of attention caused by digital media, a crisis that can be resolved only through intensified media consumption.

Making math relevant to the real world The eighth edition lives up to its reputation as a clearly written, comprehensive finite mathematics text. Students will find a greater emphasis on real-world applications from the fields of business and social sciences, making the material relevant to their studies. From the increased use of boxed formulas to informative explanations of examples, Mizrahi and Sullivan make this edition even more accessible to students. Hallmark features * The comprehensive and readable coverage has received praise through seven editions. * The text is flexibly organized. A flowchart in the preface shows instructors how to sequence chapters to meet specific needs. * Well-graded exercise sets at the end of each section help students gain a better understanding of the material. * End-of-chapter study questions for review include true/false and fill-in-the-blank questions with answers. * An abundance of realistic examples are provided that gradually increase in difficulty to develop conceptual understanding. * Mathematical questions from CPA, CMA, and actuary exams show students the relevance of the material. Also available by Mizrahi and Sullivan: Mathematics: an Applied Approach,7/E (0-471-32203-2) (view table of contents)

Product Description: The amount of data in our world has been exploding, and analyzing large data sets―so called big data―will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data...read more

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.