Decision Intelligence Analytics and the Implementation of Strategic Business Management EAI/Springer Innovations in Communication and Computing 1st edition by Mary Jeyanthi, Tanupriya Choudhury, Dieu Hack Polay, Singh, Sheikh Abujar ISBN 3030827623 978-3030827625

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ISBN 10: 3030827623
ISBN 13: 978-3030827625
Author: Mary Jeyanthi, Tanupriya Choudhury, Dieu Hack Polay, Singh, Sheikh Abujar 

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

Decision Intelligence Analytics and the Implementation of Strategic Business Management EAI/Springer Innovations in Communication and Computing 1st Table of contents:

1. Introduction to Decision Intelligence and Business Strategy

   • Overview of decision intelligence and its role in modern business
   • The relationship between analytics, business intelligence, and strategy
   • The evolution of decision-making models in business management
   • Benefits of integrating decision intelligence into strategic business management

2. Foundations of Decision Intelligence

   • Key principles and concepts of decision intelligence
   • Overview of data science, machine learning, and artificial intelligence in decision-making
   • The importance of data-driven decisions in business environments
   • Frameworks for implementing decision intelligence in organizations

3. Analytics and Its Role in Strategic Business Management

   • Defining business analytics and its types (descriptive, predictive, prescriptive)
   • The role of analytics in formulating and implementing strategy
   • Leveraging analytics for competitive advantage
   • Tools and techniques for effective business analytics

4. Strategic Business Management Frameworks

   • Key strategic management models and approaches
   • Integrating decision intelligence into strategic frameworks
   • Creating value and competitive edge through strategic management
   • Aligning organizational goals with data-driven decision-making

5. Data Management and Decision Support Systems

   • The role of data management in decision intelligence
   • Building robust decision support systems (DSS) for business strategy
   • Data governance and ensuring quality in strategic decision-making
   • Real-time data analytics for agile decision-making

6. Business Intelligence and Predictive Analytics

   • Using business intelligence (BI) tools for strategic management
   • Predictive analytics for forecasting trends and making proactive decisions
   • Implementing predictive models for business optimization
   • Real-world case studies on predictive analytics in business

7. Machine Learning and Artificial Intelligence in Decision Making

   • The impact of machine learning on business strategy and decision-making
   • AI applications for automating business decisions and improving efficiency
   • Leveraging AI to identify new business opportunities
   • Ethical considerations in AI-driven decision-making

8. Designing and Implementing Data-Driven Strategies

   • Steps for designing data-driven strategic initiatives
   • Implementing decision intelligence across business functions (marketing, operations, finance)
   • Measuring the success of data-driven strategies
   • Tools and technologies for operationalizing decision intelligence

9. Case Studies in Decision Intelligence for Business Management

   • Real-world examples of companies successfully using decision intelligence
   • Case studies on integrating analytics in corporate strategy
   • Lessons learned from both successful and failed applications
   • Best practices for implementing decision intelligence in diverse industries

10. Challenges in Implementing Decision Intelligence

    • Organizational challenges in adopting decision intelligence
    • Overcoming resistance to data-driven decision-making
    • Data privacy, security, and ethical concerns in analytics
    • Managing change and creating a culture of data-driven decisions

11. The Future of Decision Intelligence and Strategic Management

    • Emerging trends in decision intelligence and analytics for business strategy
    • The evolving role of data in business decision-making
    • The future of AI and machine learning in business management
    • Preparing organizations for the future of decision intelligence

12. Conclusion: Enhancing Strategic Decision Making Through Analytics

    • Recap of key takeaways and strategies for adopting decision intelligence
    • Final thoughts on integrating analytics into business strategies
    • The path forward for businesses to thrive in an increasingly data-driven world

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