Vital Questions
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A Quality Assurance Service for Analytics Leaders
We will address these and other vital questions:
Optimization
- If the problem has multiple optimal solutions, how does the chosen algorithm affect the variability in the answers?
- Could data be presented that would make the model infeasible?
- If the solver is integrated into an application, have all appropriate exceptions been trapped?
- Were best practices observed to facilitate future model updates?
Predictive Analysis
- Are training and testing data sets appropriately selected and maintained?
- How often is the model retrained to re-estimate parameters of the model?
- How well does the methodology consider the following issues:
- Inferential uncertainty
- The model infers from one set of observations to another
- Missing data
- Some data is missing and thus inferred in the calculations
- Measurement error
- Numbers are poorly measured, rounded, and don’t represent complete information
- Surrogate variables
- Does the model select alternatives for unavailable variables?