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Business Analytics for Effective Decision Making
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Editors: Sumi K.V., R. Vasanthagopal

Business Analytics for Effective Decision Making

eBook: US $39 Special Offer (PDF + Printed Copy): US $63
Printed Copy: US $43
Library License: US $156
ISBN: 978-981-5238-37-2 (Print)
ISBN: 978-981-5238-36-5 (Online)
Year of Publication: 2024
DOI: 10.2174/97898152383651240101
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Introduction

Business Analytics for Effective Decision Making is a comprehensive reference that explores the role of business analytics in driving informed decision-making. The book begins with an introduction to business analytics, highlighting its significance in today's dynamic business landscape. The subsequent chapters review various tools and software available for data analytics, addressing both the opportunities and challenges for professionals in different sectors.

Readers will find practical insights and real-world case studies across diverse industries, including banking, retail, marketing, and supply chain management. Each chapter provides actionable insights and concludes with implications for implementing data-driven strategies.

Key Features:

  • - Practical Examples: Real-world case studies and examples make complex concepts easy to understand.
  • - Ethical Considerations: Guidance on responsible data usage and addressing ethical implications.
  • - Comprehensive Coverage: From data collection to analysis and interpretation, the book covers all aspects of business analytics.
  • - Diverse Perspectives: Contributions from industry experts offer diverse insights into data analytics applications in business research, marketing, supply chain and the retail industry.
  • - Actionable Insights: Each chapter concludes with practical implications for implementing data-driven strategies.

Readership

Professionals, researchers, and students interested in leveraging data analytics to drive business outcomes. analysts seeking to deepen their understanding; executives aiming to make data-driven decisions


eBook: US $39 Special Offer: US $63 Printed Copy: US $43 Library License: US $156

Preface

This book presents a collection of papers that illustrate the use of data analytics in different fields. The papers cover a variety of topics, including:

  • ARMA Model on GST – A Predictive Analysis: This chapter explains the use of an ARMA model to predict the future revenue of the GST in India.
  • Data Mining in Banks: This chapter provides a bibliometric analysis of the literature on data mining in banks.
  • Value At Risk and Conditional Value at Risk in The Risk Management of Indian Stock Portfolios: This chapter compares the performance of value at risk (VaR) and conditional value at risk (CVaR) in the risk management of Indian stock portfolios.
  • Relevance of Big Data Analytics in the Banking Sector: This chapter discusses the relevance of big data analytics in the banking sector.
  • Performance Appraisal and Organizational Outcome Via the Mediating Effect of Relationship with Peer Group and Subordinates-A Tool for HR Analytics: This chapter examines the relationship between performance appraisal and organizational outcome.
  • HR Analytics and its Implications in Organizations: This chapter discusses the implications of HR analytics for organizations.
  • Stress Management among the Women Police Officers with Special Reference to Kannur District: This chapter examines the stress levels of women police officers in Kannur district, India.
  • Marketing Analytics in Business: Emerging Opportunities and Challenges: This chapter discusses the emerging opportunities and challenges in marketing analytics.
  • Impact of Data Analytics on Retail Industry: This chapter discusses the impact of data analytics on the retail industry.
  • Emerging Landscape in Business Analytics Technologies: This chapter discusses the emerging landscape in business analytics technologies.
  • A Study on Supply Chain Management Practices of Seafood Industries in Kerala: This chapter examines the supply chain management practices of seafood industries in Kerala, India.
  • Gamut of Data Mining Incidental to Fraud Detection in the Era of Digital Banking: This chapter discusses the gamut of data mining techniques that can be used for fraud detection in digital banking.


The papers in this book are all written by experts in their field, providing a wealth of information about the use of data analytics in different industries. The book is a valuable resource for anyone who is interested in learning more about data analytics and how it can be used to improve decision making.

Sumi K.V.
Institute of Management in Kerala
University of Kerala
India

&

R. Vasanthagopal
Institute of Management in Kerala
University of Kerala
India