Develop a centralized enterprise analytics system with modules for data collection, reporting, and dashboards. Integrate AI to provide decision support by predicting trends, identifying anomalies, and suggesting actionable insights.
Develop modules for data ingestion, analytics processing, and visualization dashboards.
Design a database to store enterprise-wide operational, sales, and performance data.
Implement secure login with role-based access for managers and analysts.
Preprocess historical data to train AI models for predictive analytics.
Integrate AI predictions into dashboards and reporting modules.
Build interactive dashboards to display KPIs, trends, and actionable insights.
Test modules, AI predictions, and performance under real-time scenarios.
Implement error handling, logging, and backup mechanisms.
Document system architecture, AI workflow, and deployment instructions.
