The latest developments in the production of business statistics, methods, and data collection In Advances in Business Statistics, Methods and Data Collection, distinguished researcher Dr. Ger Snijkers delivers an invaluable collection of new issues in business statistics, as well as its methods, and in the collection of business data. This edited volume offers new developments in business surveys--including discussions of non-probability sampling and web surveys--and statistical process control, the use of secondary data sources, register methodology, and possibilities presented by the Internet of Things. The included works present some of the most innovative and impactful developments in the optimization of the development, conduct, and evaluation of modern business programs. These include advancements in big data, machine learning, and advanced visualization. Providing a broad overview of the most up-to-date changes in business statistics and data, this book challenges the status quo and prepares researchers for future challenges. Readers will also find: A thorough introduction to the latest methods, developments, and challenges in business statistics Comprehensive explorations of new data sources and technologies, including big data, data integration and matching, data visualization, and data processing Practical discussions of the consequences of globalization, new computer technologies, and new indicators in the economy In-depth examinations of business surveys, statistical process control, and the use of alternative data sources Perfect for survey researchers, economists, and undergraduate and graduate students in survey research and economics, Advances in Business Statistics, Methods and Data Collection will also earn a place in the libraries of industrial researchers in a variety of fields.

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