Business Intelligence Results

A Real Estate Company discovers that homes in a given market sell when they have a basement kitchen without the need of investment renovations, saving $1 MM in budget expenditures, by analyzing a 50,000 datapoints data base
A Lending Company discovers borrowers in a given market with low batteries below 20% , will have a 90% default rate
A production company joins and navigates 300,000 database records, to discover production budget correlations to genre type, gains understanding of precise run-times to genre that will generate the highest revenue