David Roi Hardoon, Galit Shmueli

Getting Started with Business Analytics (eBook, PDF)

Insightful Decision-Making

• Format: PDF

Produktbeschreibung

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 190
• Erscheinungstermin: 26. März 2013
• Englisch
• ISBN-13: 9781439896549
• Artikelnr.: 55682923

Autorenporträt

David R. Hardoon is head of analytics at SAS Singapore, where he is responsible for the positioning of business analytics capabilities and solutions to customers across different business sectors. Dr. Hardoon is also an adjunct faculty member in the School of Information Systems at Singapore Management University and an honorary senior research associate in the Centre for Computational Statistics and Machine Learning at University College London. His research interests include developing and applying computational analytical models for business knowledge discovery and analysis in areas such as taxonomy, neuroscience, aerospace, and finance. He earned a PhD in computer science in the field of machine learning from the University of Southampton.

Galit Shmueli is a SRITNE chaired professor of data analytics and associate professor of statistics and information systems at the Indian School of Business. She is the author of 70 journal articles, references, textbooks, and book chapters in statistics, management, information systems, and marketing. Her research and teaching focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare. She earned a PhD in statistics from the Israel Institute of Technology.

Inhaltsangabe

Introduction to Business Analytics: The Paradigm Shift. The Business
Analytics Cycle. Data Mining and Data Analytics: Data Mining in a
Nutshell. From Data Mining to Data Analytics. Business Analytics: Customer
Analytics. Social Analytics. Operational Analytics. Bibliography.