This project focuses on developing an AI-driven enterprise decision support system that uses predictive analytics to assist management in forecasting trends, risks, and business opportunities.
Study enterprise decision support systems and predictive analytics.
Identify business data sources for analysis.
Design data preprocessing and transformation workflows.
Implement machine learning models for forecasting.
Integrate predictive results into enterprise dashboards.
Develop visualization modules for trend analysis.
Validate model accuracy using historical data.
Test system scalability with large datasets.
Evaluate decision-making improvements through analytics.
Document AI model performance and limitations.
Suggest future enhancements for real-time analytics.
