Iteration 1 Summary
Business Context: A political campaign wants to optimize the allocation of resources to maximize the overall support rate for their candidate across different poll sources. The campaign can decide how much effort to allocate to each poll source to influence the support rate.
Optimization Problem: The goal is to maximize the total support rate for a candidate by optimally allocating resources across different poll sources. The decision variables represent the level of effort allocated to each poll source, which influences the support rate. Constraints include budget limits, minimum and maximum effort levels, and ensuring that the total effort does not exceed available resources.
Objective: maximize total_support_rate = ∑(effort[i] * support_rate[i])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for decision variables and constraint bounds, modifying existing tables to fill mapping gaps, and moving scalar parameters to configuration logic.
Status: In progress
Confidence: medium
Next Focus: Refine the mapping of decision variables and constraints to existing schema or identify additional data requirements
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 3
