Models Here

: High-growth/expansion scenario (e.g., new market entry).

: Downside risks like increased costs or lower demand. MODELS

: Monitoring if performance degrades over time as new data comes in. Conclusion : Recommendations for retraining or deployment. 2. Strategic Financial Model : High-growth/expansion scenario (e

: Details on the algorithm (e.g., Random Forest, GPT-4, LMM) and training parameters. Evaluation Metrics : Accuracy/Precision : How often the model is correct. : High-growth/expansion scenario (e.g.

: Visual map showing how different tables connect (e.g., linking "Orders" to "Customers").

: Shows how changing one variable (e.g., price) affects the bottom line. 3. Business Intelligence (BI) Data Model