Business Analytics for Effective Decision Making

Released on by Sumi K. V.
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  • Business Analytics for Effective Decision Making Book Detail

  • Author : Sumi K. V.
  • Release Date : 2024-07-03
  • Publisher : Bentham Science Publishers
  • Genre : Business & Economics
  • Pages : 152
  • ISBN 13 : 981523837X
  • File Size : 31,31 MB
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Business Analytics for Effective Decision Making by Sumi K. V. PDF Summary

Book Description: 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.

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Gender Relations and Government Policies

Gender Relations and Government Policies

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Introduction Approaches to the planning of gender Women's organisations and voluntary institutions Government policies and programmes for the advancement of wom