Iteration 1 Summary
Business Context: A political campaign aims to maximize the overall support rate for a candidate by strategically allocating resources to different poll sources based on their effectiveness in converting unsure voters to supporters, while adhering to budget and investment constraints.
Optimization Problem: Maximize the total support rate across all poll sources by deciding how much to invest in each poll source, considering constraints on budget, minimum investment per source, and the conversion rates of unsure voters to supporters.
Objective: maximize ∑(Support_rate[i] + Conversion_rate[i] * Investment[i])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing optimization parameters and updating business configuration logic to handle scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on realistic campaign budgets, typical conversion rates for political polls, and initial support rates that reflect a competitive race. Investments were set to ensure they are within the budget and meet minimum investment requirements.