From Data to Decision
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The text begins with a chapter that outlines the rise of analytics as a dedicated discipline, its role in business decision-making, and various types of analyses. Additional chapters introduce readers to data strategy, a framework for and process for analytics, and how to apply insights for maximum impact within companies and organizations. Students examine analysis methods including linear regression, logistic regression, decision trees, multi-dimensional scaling, factor analysis, text analytics, time-series analysis, and neural nets. Throughout, readers are challenged to connect the dots between analysis and its effective application within business settings.
A robust guide to modern analysis, From Data to Decision is an ideal textbook for courses in business and analytics, and suitable for both undergraduate and graduate studies.