The MznLnx Exam Prep series is designed to help you pass your exams. Editors at MznLnx review your textbooks and then prepare these practice exams to help you master the textbook material. Unlike study guides, workbooks, and practice tests provided by the texbook publisher and textbook authors, MznLnx gives you all of the material in each chapter in exam form, not just samples, so you can be sure to nail your exam.
In "Marketing Research," the authors offer undergraduate and MBA students a compelling introduction to the field with extensive use of global, technology, service, and small business examples. Distinctive features include integrated coverage of technology tools and statistical analysis, current research, and a strong focus on strategy. To reinforce the text's emphasis on technology, each new copy of the text can be packaged with SPSS software containing data sets--created by the authors--specifically related to examples and tutorials from the chapters on data analysis."Case in Point" sections appear after the introduction of each major topic to reinforce key information with detailed examples."Research in Use" boxes provide a variety of interesting real-world examples--often featuring offbeat or unique scenarios--that in some instances have been researched firsthand by the authors.Chapter 5, "Using Geographic Information Systems for Marketing Research," devotes special attention to an important tool used in contemporary marketing research.
Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.
Based on the authors collective teaching experience of over five decades, the book reinforces the importance and relevance of marketing research through continually reminding students of its applications in the real world. In the new edition of the book, the authors have further incorporated the impact of the Internet and the latest advances in information technology on doing and using marketing research. The coverage is aimed at benefiting both potential research users as well as those who wish to consider marketing research as a career. Part 1: Introduction to Marketing Research1. The Nature and Scope of Marketing Research2. The Marketing Research Process3. Types of Marketing ResearchPart 2: Data Collection: Types and Methods4. Secondary Data5. Using Geographic Information Systems for Marketing Research6. Primary Data Collection7. Qualitative Research8. Experimentation in Marketing ResearchPart 3: Data Collection: Measurement Instruments and Sampling9. Measurement and Scaling10. Questionnaire Design11. Sampling FoundationsPart 4: Data Analysis12. Quality Control and Initial Analysis of Data13. Hypothesis Training14. Examining Associations: Correlation and Regression15. Overview of Other Multivariate TechniquesPart 5: Communicating with Research Users16. Presenting Research Results
Krishnan describes military applications of neuroscience research and emerging neurotechnology with relevance to the conduct of armed conflict and law enforcement. This work builds upon literature by scholars such as Moreno and Giordano and fills an existing gap, not only in terms of reviewing available and future neurotechnologies and relevant applications, but by discussing how the military pursuit of these technologies fits into the overall strategic context. The first to sketch future neurowarfare by looking at its potentials as well as its inherent limitations, this book’s main theme is how military neuroscience will enhance and possibly transform both classical psychological operations and cyber warfare. Its core argument is that nonlethal strategies and tactics could become central to warfare in the first half of the twenty-first century. This creates both humanitarian opportunities in making war less bloody and burdensome as well as some unprecedented threats and dangers in terms of preserving freedom of thought and will in a coming age where minds can be manipulated with great precision.
Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.
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