Accurate analysis is sometimes dependant on obtaining additional information. Care and skill is needed to obtain this additional data cost-effectively, while at the same time not biasing the results. Sampling and surveys are tools used to dramatically reduce required work while still obtaining useful data.
For a project analyzing data of alleged billing overcharges of a health insurance company, a random sample was designed and estimated the total amount of billing overcharges based on proper statistical sampling methods as applied to the measured sample.
In a matter involving alleged billing overcharges of a major long-term care service provider, a random sample was designed and estimated the total amount of billing overcharges facilities based on proper statistical sampling methods.
In a dispute involving alleged rent overcharges, a random sample was designed and conducted to estimate the alleged average error rate (i.e., rent overcharge) and extrapolate sample results to the entire population using proper statistical sampling methods.
Statistical analysis of customer sales trends gathered from club card tracking data. Collected and consolidated hundreds of gigabytes of sales history data.