Business Analytics

A Management Approach

Richard Vidgen, Sam Kirshner, Felix Tan (Autoren)

Buch | Softcover

446 Seiten

2019
Bloomsbury Academic (Verlag)
978-1-352-00725-1 (ISBN)

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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.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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.

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.

Erscheinungsdatum	16.10.2019
Zusatzinfo	4 bw illus
Verlagsort	London
Sprache	englisch
Maße	193 x 260 mm
Gewicht	957 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
Schlagworte	Big Data • Business Analytics • Business Intelligence • Data Analysis for Business • data analytics • DataRobot • Data Science • SAS Visual Analytics • systems thinking • Virtual Analytics
ISBN-10	1-352-00725-8 / 1352007258
ISBN-13	978-1-352-00725-1 / 9781352007251
Zustand	Neuware