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An important update to this roadmap for the development of a corporate intelligence program Market intelligence is the distinct discipline by which organisations systematically gather and process information about their external operating environment in order to facilitate accurate and confident decision making that is based on insight. For companies to thrive in the global post-recession marketplace, their management needs future-oriented business information. The Handbook of Market Intelligence provides a one stop shop, step-by-step roadmap for establishing, conducting and further developing corporate intelligence programs within an organisation and then shows how organisations can turn market data into actionable insights. • Full of best practice advice from hundreds of real-life international case studies • Outlines the anticipated future trends in Strategic Market Intelligence based on unique global survey data • Provides guidance on extracting relevant, useful and accurate market information that can be used for successful business development
Market Intelligence provides an overview of the most important tools and concepts relevant to intelligence analysis for strategic decision making. The book's focus is not only on competitors, but also on customers, suppliers, and a range of other stakeholders. It gives the reader tools used to analyze both micro and macro factors in the organization's environment to predict future outcomes better and to improve decision making. The field of competitive intelligence is studied by a diverse research community. Contributions to this field are made to aid States - on a national, regional, and local level - as well as to aid the military, non-profit organizations, and private companies. These contributions are mostly done in isolation, even though all these fields of study have much in common. The authors draw from these various fields and provide the essential insights to aid management thinking.
The aim of this title is to examine the client-side perspective of market research and describe the pitfalls and problems when commissioning, briefing and using market research.
An important update to this roadmap for the development of a corporate intelligence program Market intelligence is the distinct discipline by which organisations systematically gather and process information about their external operating environment in order to facilitate accurate and confident decision making that is based on insight. For companies to thrive in the global post-recession marketplace, their management needs future-oriented business information. The Handbook of Market Intelligence provides a one stop shop, step-by-step roadmap for establishing, conducting and further developing corporate intelligence programs within an organisation and then shows how organisations can turn market data into actionable insights. • Full of best practice advice from hundreds of real-life international case studies • Outlines the anticipated future trends in Strategic Market Intelligence based on unique global survey data • Provides guidance on extracting relevant, useful and accurate market information that can be used for successful business development
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 practical introduction to the necessity of competitive intelligence for smarter business decisions-from a leading CI expert and speaker In Competitive Intelligence Advantage, Seena Sharp, founder of one of the first Competitive Intelligence firms in the US, provides her expert analysis on the issues and benefits of CI for today's businesses. CI is critical for making smarter business decisions and reducing risks when formulating strategies, leading to more profits and fewer mistakes. This is a practical guide that explains what CI is, why data is not intelligence, why competitor intelligence is a weak sibling to competitive intelligence, when to use it, how to find the most useful information and turn it into actual intelligence, and how to present findings in the most convincing manner. Importantly, Sharp argues that businesses would benefit from shifting their perspective on CI from viewing it as a cost to viewing it as an investment that saves money and provides immediate value. Author Seena Sharp is a noted CI expert who established Sharp Market Intelligence in 1979 Addresses all the most common myths and misconceptions about CI Includes more than sixty examples of when to use CI Completely explains the ins and outs of CI, and why your company will act faster and more aggressively with CI Competitive intelligence is a management tool that is misunderstood and underestimated, yet results in numerous benefits. If you are a senior level executive or operate a business-and you aren't tapping the power of CI to improve your decision making-you are missing a potent advantage.
Global Business Intelligence refers to an organization’s ability to gather, process and analyze pertinent international information in order to make optimal business decisions in a timely manner. With a challenging economic and geopolitical environment, companies and executives need to be adept at information gathering in order to manage emerging challenges and gain competitive advantages. This book Global Business Intelligence assembles a cast of international experts and thought leaders and explores the implications of business intelligence on contemporary management. Global Business Intelligence will be a key resource for researchers, academics, students and policy makers alike in the fields of International Business & Management, Business Strategy, and Geopolitics as well as related disciplines like Political Science, Economics, and Geography.
This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining. Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.
An ideal resource for those who want to conduct market research but have little experience in doing so, The Market Research Toolbox describes how to think of market research in the context of making a business decision. The book begins by defining market research and discussing some of the various types and techniques. It then examines what objectives can be met by doing market research and the expected payoffs. Six traditional market research techniques are covered - secondary research, customer visits, focus groups, surveys, choice modelling and experimentation. The author describes how each technique works along with its costs and uses, tips for success, when and how to use certain techniques and precautions to take while using them. Next, McQuarrie discusses nontraditional types of market research that have evolved in recent years to meet the needs of business-to-business marketers and technology firms. The volume concludes with a chapter on five common business applications that can be addressed by combining several individual research techniques into a research strategy. New to the Second Edition: - Chapters 1 and 2 have been extensively revised and updated based on feedback from students. - Chapter 3 on secondary research includes a new section on Internet research. - Chapter 6 will be split into two chapters, one to focus on survey research procedures and the other to focus on questionnaire design. - Chapter 7 will be revised to focus almost exclusively on conjoint analysis, a key tool. - Chapter 9 will be deleted, and relevant material will be moved to other chapters. - Chapter 10 will be expanded to include new topics such as forecasting - An Instructors Resource on CD-ROM will be made available to lecturers adopting the book for course use. It contains PowerPoint slides, case questions, teaching notes for suggested cases that can be linked to the book, and a sample syllabus.