Data-Driven Strategic Decision-Making in Businesses

inBusiness Studies

Background

Strategic decision-making in modern businesses heavily relies on data analytics to identify market opportunities, mitigate risks, and optimize performance. This project examines how data analytics can guide high-level business decisions by analyzing key metrics and trends across industries. Initially, Google Sheets can be used for organizing and analysing smaller datasets. Python (Pandas, NumPy, Matplotlib, Seaborn) can help in data analysis and visualization. 

Learning Outcome (LO)

  • LO #1: Learn advanced data analysis and visualization techniques. 
  • LO #2: Understand how data insights guide strategic business decisions. 
  • LO #3: Develop a decision-making framework using real-world business scenarios. 
  • LO #4: Gain hands-on experience in tools like Python and Power BI. 

What is on offer?

  • 1-on-1 sessions with Ph.D. Scholars
  • Supervision and Guidance from Global Faculty
  • Assistance in Publishing Research
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