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Predict success with benchmarking techniques


Bring in data such as population, demographics, and market potential. Determine which locations are likely to offer a return on investment. Predict which locations are more likely to fail. Use benchmarking techniques. Answer questions such as, “How would a potential store perform based on its similarity to another successful store?"

Assess location values using regression analysis


Find factors that explain observed spatial patterns by using regression approaches. Answer questions such as, “What factors contribute to people dying young?” or “Where should we focus intervention?” Use this analysis to make predictions and implement effective policies.

Estimate location values with sample data


Predict values for a location based on discrete sample observations. Quantify the certainty of your analysis results. For example, given a set of oil well production points across an area you can determine the estimated production values in unmeasured locations.

CASE STUDY

General Motors

How GM understands its market, predicts customer demand, and selects new dealership locations

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