RQ: How does data science influence decision-making, operational efficiency, and innovation in modern business practices?

1. Introduction to Data Science in Business
   • What is data science?
   • How is it used in business?
2. Role of Data Science in Business Operations
   • How do businesses integrate data science in decision-making?
   • How does it improve operational efficiency and innovation?
3. Challenges and Limitations
   • Businesses struggle with implementing data science effectively.
   • Not all organizations use data-driven strategies optimally.
4. Identified Research Gap
   • Current studies focus on specific industries, but lack a holistic business-wide perspective.
   • Need for a broader framework to understand cross-functional integration.
5. Justification & Impact
   • Academic Impact: Bridges business strategy, operations, and technological advancements.
   • Practical Impact: Helps business leaders, policymakers, and analysts leverage data science effectively.
6. Conclusion & Research Significance
   • Why this research matters and how it contributes to future business and technology studies.