Predictive Analytics Solutions

Foretelling future events and conditions has become increasingly important in ever changing business and economic conditions. The data and text we store and work with contain hidden patterns and insights that can be revealed through machine learning and captured in the form of models predicting outcomes of future situations. Such predictive models streamline and accelerate complex decision-making processes and help predict the likelihood of future outcomes and events.

Advanced machine learning tools
Applications of Predictive Analytics

Your very own crystal ball

Megaputer provides a system incorporating powerful machine learning engines, sophisticated data manipulation tools, and flexible web reports summarizing key findings in a clear, graphical form. Our PolyAnalyst™ system features the broadest selection of machine learning engines that can address numerous tasks: clustering, classification, numerical prediction, anomaly detection, network analysis, and time series analysis. Many of these engines have unparalleled accuracy because they are based on the most modern mathematical ideas.

PolyAnalyst Data Mining Software

Applications of predictive analytics

A graph with an upward pointing arrow to the right

Improve products and services

Use customer feedback, product repair notes, and transactional data to their fullest potential. Classify patterns discovered in historical data, identify new cases that match those patterns, and predict outcomes.

Customer Experience Solutions

Explore new markets

Find out which products perform best among different customer segments and determine the most effective marketing campaign to reach your target groups – without needing to test every option.

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Prevent loss

Detect and investigate anomalous behavior. Recognize the warning signs that indicate fraudulent activity and flag the most probable cases that may require additional investigation.

Fraud Detection

Optimize workforce satisfaction

Determine key factors that contribute to employee turnover. Know when interventions are needed to re-engage at-risk individuals and boost their job satisfaction and productivity.

Employee Survey Analysis

Improve healthcare outcomes

Predict which patients are at risk of developing certain conditions based on various personal biometrics and external factors. Develop proactive treatment plans in response.

Utilization Management