Today's marketplace has become highly competitive. In response, businesses have increased their data collection, but they are unable to fully utilize that data. VyAnalytics uses predictive algorithms to transform your data into a tool for anticipating the future behavior of customers, external events, and other processes. You then act to turn that information into competitive advantage, improving revenue, capabilities, and quality.
Our software tightly integrates with client systems so you can process millions of predictions and consider thousands of factors. Because of the data volume and task complexity, computer-aided decisions reduce overall costs, improve prediction accuracy, shrink response times, and control risks.
Prediction applies to alerting solutions such as monitoring suspicious activities: intrusion detection, audit irregularities, and fraud detection. Our software provides early detection and quantifiable performance. These techniques also apply to customer retention. Incentives can be offered to customers showing patterns of behavior indicating that their retention likelihood is low.
Advanced analytics also apply to forecasting. Simple techniques generally incorporate only a single factor into their forecasts. They may combine the most recent values for that factor, without clear criteria for deciding the number of data points to combine or how to combine them. Predictive analytics overcome these limitations. The algorithms can incorporate many factors, greatly increasing the accuracy of the forecast. They also follow well-defined mathematical algorithms in order to provide optimal, quantifiable, and reproducible results. In addition, the models can be rebuilt in order to adapt to continuously changing conditions. Analytical forecasting is effective at predicting the usage or activity levels of customers and forecasting the effectiveness of alternative strategies on sales.