GSTAT big data analytics software solutions allow banks, telecom companies and retail chains to maximize revenues from their customers, while reducing financial risks and complying with regulatory requirements, like Basel 2 and Solvency 2.
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GSTAT automated data mining platform enables developing and deploying hundreds of statistical cross-sell, churn prediction, revenue impact prediction and credit scoring models in one working day rather than many months.
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Decrease customer profit erosion in retention process and increase revenue by recommending each prepaid or postpaid customer on the optimal personalized retention offer, while reducing customer revenue erosion or increasing customer revenue
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Increase the average fidelity program member basket by up to 5% and strengthen chain loyalty by recommending the right personalized products as promotions and coupons that attract repeat and increased purchasing.
Double the response rate and revenue for every targeted inbound and outbound campaign by greater use of data mining models to produce cross-sell and retention potential lists.
Reduce the company's credit risk by decreasing its default rate, increase revenues from additional credit sales and deploy Basel 2 compliance within several weeks only rather than a multi-year project.
Synchronize various business units for automatic Solvency 2 report preparation and apply cross-organizational enterprise risk management processes, within several weeks only rather than a multi-year project.
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