AI-powered insights to speed data-driven decision making
Imagine if everyone in your company could instantly and accurately answer ad hoc questions and relieve the burden on analysts and data scientists. Whether it's risk management, sales analysis, or customer segmentation, Tellius helps insurance companies evolve processes, cut costs, and improve customer experience with faster insights.
Now more than ever, much more data from a wider range of sources inform the underwriting process. Apply machine learning algorithms against your big data to improve pricing accuracy, create customized products and services, forge stronger customer relationships, and facilitate more effective loss prevention.
Utilize predictive analytics methods and models to review historical fraudulent claims and identify factors and elements that can help prevent future fraud. Detect potential fraud as early as possible in the claims process to reduce payments made to fraudsters. Enhance fraud detection techniques by incorporating greater variety of data to spot new correlations and relationships in your data.
Apply advanced analytics to develop risk models in a faster and more accurate fashion. By reducing the time of evaluating the risk of customers and providing more objective evaluations based on data, insurance companies will reduce costs and increase revenue by providing more suited insurance policies.
Analyze customer data to determine desirable customers, segmenting them from less profitable or more risk averse prospects. Concentrate on retaining profitable prospects while providing competitive premiums for every segment of the market. Analyze customer buying patterns, retention rates, and customer lifetime value to uncover demographics who will be more receptive to cross-selling and upselling opportunities.