Business Analytics

A Management Approach
1. Auflage 2019
ISBN: 978-1-352-00725-1
Verlag: Bloomsbury 3PL

Buch, Englisch, 430 Seiten, Format (B × H): 203 mm x 276 mm, Gewicht: 1032 g

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Autoren/Hrsg.

Vidgen, Richard

Kirshner, Sam

Tan, Felix

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Marketing

Inhaltsverzeichnis

Introduction.- Business Analytics Development.- Data and Information.- Data Exploration.- Clustering and Segmentation.- Multiple Linear Regression.- Classification and Regression Trees (CART).- Visualization and Communication.- Automated Machine Learning.- R.- Working with Unstructured Data.- Social Networks.- Business Analytics Methodology.- Design and Agile Thinking.- Ethical Aspects.- Appendix A: Dataset Descriptions.- Appendix B: GoGet Case Study.- Appendix C: Business Analytics Capability Assessment (BACA) Survey.

Über Autor(innen)

RICHARD VIDGEN is Professor of Business Analytics at the University of New South Wales Business School, Australia and Emeritus Professor of Systems Thinking at the University of Hull, UK.
SAM KIRSHNER is a Senior Lecturer in Operations Management and Business Analytics at the University of New South Wales Business School, Australia.

FELIX TAN is a Senior Lecturer in Information Systems at the University of New South Wales Business School, Australia.