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

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

Preface

- Pp. i-ii (2)
Sumi K. V., R. Vasanthagopal
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List of Contributors

- Pp. iii

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Introduction to Business Analytics for Effective Decision Making

- Pp. 1-11 (11)
Sumi K. V.*, R. Vasanthagopal*

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ARIMA Model on GST – A Predictive Analysis

- Pp. 12-22 (11)
S. Jayadev, Veena M.*, Siju Sebastian*

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Data Mining in Banks: A Bibliometric Analysis

- Pp. 23-36 (14)
Kavya Shabu, R. Vasanthagopal*

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Value at Risk and Conditional Value at Risk in the Risk Management of Indian Stock Portfolios

- Pp. 37-49 (13)
Syamraj KP.*, Regina Sibi Cleetus

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Relevance of Big Data Analytics in the Banking Sector

- Pp. 50-58 (9)
Sumi K. V.*

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Performance Appraisal and Organizational Outcome via the Mediating Effect of Relationship with Peer Group and Subordinates-A Tool for HR Analytic

- Pp. 59-69 (11)
S. Jayadev, R. Sumitha*

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Stress Management Among Women Police Officers With Special Reference to Kannur District

- Pp. 70-85 (16)
Vigi V. Nair*, Madhusoodanan Kartha N.V.

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Marketing Analytics in Business: Emerging Opportunities and Challenges

- Pp. 86-96 (11)
Aswani Thampi P.R.*, Ambeesh Mon. S.

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Impact of Data Analytics in Retail Industry

- Pp. 97-102 (6)
Danileo Jose*

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Emerging Landscape in Business Analytics Technologies

- Pp. 103-114 (12)
D. Mavoothu*

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A Study on Supply Chain Management Practices of Seafood Industries in Kerala

- Pp. 115-122 (8)
S. Geetha, Sanal S.*

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Gamut of Data Mining Incidental to Fraud Detection in the Era of Digital Banking

- Pp. 123-130 (8)
Shinta Sebastian, Agustina M.S.*

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Subject Index

- Pp. 131-136 (6)
Sumi K. V., R. Vasanthagopal
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