Market Research & Entrepreneurship: Competitive Intelligence Technique Resources

Newly available online, this classic explainer of market research function and technique covers what entrepreneurs need to know to research and analyze potential markets, such as the key steps in constructing effective marketing plans, establishing sound financial forecasts, and finding backers.

The book addresses current standard practices for quantitative and qualitative techniques, and is for students and practitioners. It contains real-life examples and covers topics of data-related issues, methods, and applications.

Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics.

The author examines intelligence gathering and analysis, and the significance of these programs. The book assumes a basic understanding of the intelligence cycle and processes, building from the author's previous text, Intelligence Analysis Fundamentals, to further address various types of intelligence, the function and increasing usage of intelligence in both the private and public sectors, and the consumption of intelligence products to inform strategic decision-making. Developed for a classroom environment, chapters are packed with multiple examples, visuals, and practical exercises tailored for the intelligence community (IC), military intelligence analyst, criminal, or business analyst alike.

This book includes recent research works on how business around the world affected by the time of COVID-19 pandemic. The impact of technology has had a tremendous impact on how we manage disasters, and has changed how countries and governments collect information. The COVID-19 pandemic has forced online service companies to maintain and build relationships with consumers. Businesses are now facing tension between generating sales during a period of severe economic hardship and respect for threats to life and livelihoods that have changed consumer preferences.

This book describes process mining use cases and business impact along the value chain, from corporate to local applications representing the state of the art in domain know-how.

This book covers research on trends business intelligence and analytics (BI&A) as applied to small and medium enterprises (SMEs). It covers process mining and data management, and discusses international approaches, as well as industry applications in customer analytics (including for customer loyalty, and social media marketing), accounting and auditing applications, data security and business intelligence process.

This well-known guide to competitive intelligence methods has been updated with additional methods, applications and examples. It starts with a practical primer on the process and context of business and competitive analysis, introduces the unique FAROUT method for choosing the right tools and dozens of valuable analysis methods. They cover "classic" techniques, such as McKinsey 7S and industry analysis, as well as emerging techniques from multiple disciplines: economics, corporate finance, sociology, anthropology, and the intelligence and futurist communities.

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Innovation often relies on creativity. Competitive intelligence can serve this process. This book is aimed at readers who already have some experience of innovation and who are now looking for new ways to discover new products under development, anticipate the design of future products, identify unexplored tracks of inventions, develop and analyze innovation strategies, or recognize the emergence of budding artists.