100 Unique Proposed Business Analytics Project Titles for MBA | PGDM Authored by “Nagendra Prasad” (Certified Microsoft Business Analyst)

1. Optimizing Customer Acquisition Costs Using Machine Learning in the E-commerce Industry
2. Leveraging Social Media Sentiment Analysis to Predict Consumer Behavior
3. Building a Customer Churn Prediction Model for a Subscription-based Service
4. Analyzing the Effectiveness of Influencer Marketing Campaigns on Brand Engagement
5. Developing a Dynamic Pricing Strategy Based on Market Demand and Customer Segmentation
6. Optimizing Advertising Spend Allocation Across Different Channels Using Data-Driven Insights
7. Measuring the ROI of Content Marketing Campaigns and Identifying Content Gaps
8. Personalizing Marketing Messages Based on Customer Buying Journey and Demographics
9. Predicting Online Shopper Purchase Behavior Using Web Analytics Data
10. Identifying High-Value Customers and Tailoring Marketing Strategies for Customer Retention
11. Utilizing Machine Learning to Detect Fraudulent Activities in Financial Transactions
12. Developing a Credit Risk Assessment Model to Enhance Loan Approval Processes
13. Optimizing Investment Portfolio Allocation Using Modern Portfolio Theory and Data Analysis
14. Predicting Stock Market Trends and Identifying Market Opportunities Using Financial Data
15. Analyzing the Impact of Macroeconomic Factors on Corporate Financial Performance
16. Building a Cash Flow Forecasting Model to Improve Financial Resource Management
17. Implementing Sentiment Analysis to Gauge Investor Confidence and Market Sentiment
18. Evaluating the Effectiveness of Cost Reduction Strategies in a Specific Industry
19. Analyzing the Financial Performance of Mergers and Acquisitions
20. Developing a Budget Optimization Model for a Non-Profit Organization
21. Optimizing Production Scheduling and Inventory Management Using Data Science Techniques
22. Predicting Supply Chain Disruptions and Implementing Mitigation Strategies
23. Analyzing Transportation Logistics and Identifying Cost-Effective Routes
24. Developing a Demand Forecasting Model to Improve Inventory Management Efficiency
25. Optimizing Warehouse Operations and Layout Using Data-driven Analysis
26. Improving Quality Control Processes by Leveraging Machine Learning for Defect Detection
27. Analyzing the Environmental Impact of Manufacturing and Distribution Processes
28. Developing a Predictive Maintenance Model to Reduce Equipment Downtime
29. Optimizing Resource Allocation and Scheduling in a Service-based Industry
30. Implementing a Business Process Improvement Initiative based on Data Analysis
31. Identifying Factors Leading to Employee Turnover and Developing Retention Strategies
32. Predicting Employee Performance Using Artificial Intelligence and Big Data
33. Optimizing Recruitment Processes by Analyzing Candidate Profiles and Job Requirements
34. Developing and Implementing an Employee Engagement Survey and Action Plan
35. Creating a Data-driven Performance Management System
36. Analyzing the Effectiveness of Employee Training and Development Programs
37. Using Text Analytics to Assess Employee Sentiment and Identify Workplace Issues
38. Predicting the Impact of Organizational Change on Employee Morale and Productivity
39. Developing a Data-driven Approach to Talent Acquisition and Management
40. Analyzing the Relationship Between Diversity, Equity, and Inclusion Initiatives and Employee Performance
41. Predicting Disease Outbreaks and Optimizing Resource Allocation in Healthcare Systems
42. Developing a Machine Learning Model for Early Disease Detection and Diagnosis
43. Analyzing Patient Data to Improve Treatment Outcomes and Reduce Healthcare Costs
44. Personalizing Patient Care Plans Based on Individual Medical History and Data
45. Optimizing Hospital Bed Management and Emergency Room Wait Times
46. Utilizing Data Analytics to Improve the Efficiency of Clinical Trials
47. Developing a Predictive Model for Identifying High-Risk Patients
48. Analyzing the Cost-Effectiveness of Different Medical Treatments
49. Implementing Data-driven Strategies to Reduce Hospital Re-admission Rates
50. Using Natural Language Processing to Analyze Medical Records and Identify Trends
51. The Impact of Blockchain Technology on Business Analytics in [Specific Industry]
52. The Ethical Considerations of Using Data Analytics in [Specific Context]
53. Exploring the Use of Data Visualization in Storytelling and Decision-Making
54. Analyzing the Relationship Between Customer Satisfaction and Brand Loyalty
55. Developing a Sustainable Business Model Based on Data-driven Insights
56. The Role of Business Analytics in Promoting Innovation and Entrepreneurship
57. Analysing the Impact of Artificial Intelligence on the Future of Business Analytics
58. Analysing the Impact of Artificial Intelligence on the Future of Big Data
59. The Effectiveness of Chatbots in Customer Service and Support
60. Analyzing the Adoption Rate of New Technologies in Different Organizational Settings
61. Optimizing Pricing Strategies for Subscription-based Services using A/B Testing
62. Building a Recommendation Engine for Online Learning Platforms
63. The Impact of Data Privacy Regulations on Business Analytics Practices
64. Analyzing the Role of Data Analytics in M&A (Mergers & Acquisitions) Decision-Making
65. Developing a Data-driven Approach to Risk Management in [Specific Industry]
66. The Use of Business Analytics in Promoting Corporate Social Responsibility
67. Analyzing the Effectiveness of Social Media Marketing Campaigns in Political Elections
68. Optimizing Online Advertising Strategies Based on User Behavior and Click-through Rates
69. Predicting Customer Lifetime Value and Developing Customer Retention Strategies
70. Developing a Data-driven Approach to Smart City Development and Management
71. Optimizing Delivery Routes and Schedules for the Ride-Sharing Industry
72. Predicting Customer Demand for Energy Resources in the Utilities Industry
73. Analyzing the Effectiveness of Online Advertising Strategies in the Media & Entertainment Industry
74. Developing a Fraud Detection Model for the Insurance Industry
75. Optimizing Logistics and Pricing Strategies for E-commerce Grocery Delivery
76. The Impact of Social Media Analytics on Influencer Marketing Campaigns in the Fashion Industry
77. Developing a Customer Segmentation Model and Personalized Marketing Strategies for the Tourism Industry
78. Analyzing the Financial Performance of Crowdfunding Campaigns and Predicting Success
79. The Application of Business Analytics in Optimizing Yield Management Strategies for Airlines
80. Developing a Data-driven Approach to Personalized Learning in the Education Sector
81. The Use of Blockchain Technology for Secure Data Sharing and Analytics
82. Exploring the Applications of Artificial Intelligence in Business Process Automation
83. The Ethical Implications of Using Facial Recognition Technology in Customer Experience
84. Analyzing the Impact of the Metaverse on Consumer Behavior and Marketing Strategies
85. Developing a Data-driven Approach to Mitigating Climate Change and Environmental Impact
86. The Role of Business Analytics in Promoting Diversity, Equity, and Inclusion in Organizations
87. The Use of Natural Language Processing for Customer Service Chatbots and Sentiment Analysis
88. Exploring the Applications of Business Analytics in the Gig Economy
89. Developing a Framework for Using Data Analytics to Combat Social Media Disinformation
90. The Impact of Quantum Computing on the Future of Business Analytics and Data Processing
91. Developing a Data-driven Approach to Corporate Social Responsibility Reporting
92. Analyzing the Effectiveness of Employee Wellness Programs on Employee Health and Productivity
93. The Role of Business Analytics in Strategic Decision-Making and Business Model Innovation
94. Developing a Data-driven approach to Public Policy Analysis and Implementation
95. The Impact of Business Analytics on Corporate Governance and Regulatory Compliance
96. Building a Competitive Advantage using Data-driven Insights and Strategy
97. The Role of Business Analytics in Mergers and Acquisitions Integration and Success
98. Analyzing the Financial Performance of Social Impact Investing Projects
99. Developing a Data-driven Framework for Sustainable Supply Chain Management
100. The Use of Business Analytics in Disaster Management and Emergency Response

By : Nagendra Prasad