General Motors combined big data, analytics, and GIS to model dealership performance. It enabled dealers from around the nation to view local demographics, location characteristics, and regional differences to providing a dealership the ability to compare their performance to actual results.
Instead of approaching the marketing arena, which GM budgets around $2 billion each year, they decided to conduct an analyses to determine the types of households that will buy the various automobiles within its portfolio. By feeding detailed demographic and spatial data to marketing, they were able direct its ad spend to the right departments.
Using Big Data Predictive
to Optimize Sales
Organizations must optimize their account management and increase estimated revenue, by developing an advanced predictive analytics solution to identify and prioritize the greatest potential for high-volume salies.
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