- Data ValidationOur Analytical Models Testing ensures there are no missing values, duplicates, or outliers that could skew the results.
- Model Logic VerificationThrough underlying formulas, algorithms, and relationships between variables, we audit the dependencies between variables to ensure no irrelevant correlations are influencing the model’s performance.
- Assumption CheckingWe make sure that the statistical assumptions of the model don't interfere with invalid results. Also, we match domain knowledge and the latest data for accuracy and consistency in results.
- Auto Model EnhancementWe implement a framework for periodic re-evaluation to ensure the model adapts to changing business environments.
- Performance BenchmarkingWe initiate KPIs or industry benchmarks for tracking model performance. This helps in assessing the model's ability to scale under real-time constraints and different conditions.
- Output Accuracy TestingOur Analytical Models Software Testing USA measures the deviation of model outputs from actual outcomes to assess accuracy.