Business Intelligence and Analytics Lab

List of Experiments

1. To provide students with hands-on experience in applying data cleaning and preprocessing techniques for business analytics.
2. To develop skills in exploring and analyzing data using exploratory data analysis methods for market research.
3. To understand and apply predictive modeling techniques, such as regression analysis, for business analytics.
4. To segment customers and perform cluster analysis to gain insights for targeted marketing strategies.
5. To forecast future sales using time series analysis and evaluate the accuracy of the predictions.
6. To mine association rules from transactional data for market basket analysis and cross-selling opportunities.
7. To analyze customer sentiment from text data and derive insights for improving products and services.
8. To build decision tree and random forest models for predicting customer churn and identify factors influencing it.
9. To implement recommender systems for personalized product recommendations based on user preferences.
10. To create interactive dashboards and reports using Power BI for effective communication and decision-making in business intelligence.