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Business analytics: solving business problems with R

By: Contributor(s): Material type: TextTextPublication details: Sage Publication New Delhi 2025Description: xxvi, 318 pISBN:
  • 9781071815236
Subject(s): DDC classification:
  • 658.403 MIS
Summary: This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement. Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data. Key features include: • Analytics in Practice vignettes show how data and analytics have been applied in real organisations • Video interviews with industry professionals bring examples to life • A running case study and accompanying dataset allow you to apply what you have learnt Suitable for undergraduate and postgraduate students studying business analytics. This book uses Excel®. Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand. (https://us.sagepub.com/en-us/nam/business-analytics/book280526)
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Operations Management & Quantitative Techniques 658.403 MIS (Browse shelf(Opens below)) 1 Available 007913

Table of contents:
This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement.

Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data.

Key features include:
• Analytics in Practice vignettes show how data and analytics have been applied in real organisations
• Video interviews with industry professionals bring examples to life
• A running case study and accompanying dataset allow you to apply what you have learnt

Suitable for undergraduate and postgraduate students studying business analytics. This book uses Excel®.

Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand.

(https://us.sagepub.com/en-us/nam/business-analytics/book280526)

This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement.

Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data.

Key features include:
• Analytics in Practice vignettes show how data and analytics have been applied in real organisations
• Video interviews with industry professionals bring examples to life
• A running case study and accompanying dataset allow you to apply what you have learnt

Suitable for undergraduate and postgraduate students studying business analytics. This book uses Excel®.

Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand.
(https://us.sagepub.com/en-us/nam/business-analytics/book280526)

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