Insurance
Revolutionize insurance with real-time risk assessment, personalized coverage, and fraud detection
Actuarial Modeling & Pricing
Analyze historical data, market trends, and customer behavior for insurers to develop more accurate pricing models, assess policy risks, and make informed decisions about product offerings
Claims Management & Processing
Streamline the claims management process by automating data capture, analysis, and processing. By leveraging technologies like natural language processing and machine learning, insurers can process claims faster, identify fraudulent claims, and provide quicker settlements. This improves operational efficiency, customer experience, and reduces claims processing costs
Claims Modelling
Help improve risk assessment, pricing accuracy, and profitability by leverage ML for claims modeling
Customer Segmentation & Personalization
Enables insurers to segment customers based on their profiles, behaviors, and preferences. By analyzing data from various sources, insurers can offer personalized products, tailored recommendations, and targeted marketing campaigns. This enhances customer satisfaction, improves cross-selling and upselling opportunities, and increases customer loyalty
Fraud Detection & Prevention
Help identify patterns and anomalies in data to detect and prevent insurance fraud. By analyzing historical claims data, policyholder behavior, and external data sources, insurers can develop advanced fraud detection models. This helps in minimizing losses, reducing fraudulent claims, and protecting the interests of genuine policyholders
Predictive Analytics for Loss Prevention
Analyze historical data, weather patterns, social trends, and other relevant factors so that insurers can leverage predictive analytics to identify potential risks and take proactive measures for loss prevention. This includes offering risk mitigation advice, providing safety recommendations, and implementing preventive measures to reduce the occurrence of losses and claims
Risk Assessment and Underwriting
Incorporate data from various sources, such as customer profiles, claims history, credit scores, social media, and external databases for insurers to make more informed decisions during underwriting. This helps in improving risk assessment, pricing accuracy, and profitability
Usage-Based Insurance
Insurers can collect and analyze data from connected devices and sensors, such as telematics devices in vehicles. This enables the implementation of usage-based insurance models, where premiums are based on actual driving behavior and risk. It promotes safer driving habits, allows for personalized pricing, and provides insurers with more accurate risk assessments
Deloitte
SI Partner
Global advisory, technology, business and management consulting services.
IBM Consulting
Technology Partner
Global advisory, technology, business and management consulting. A premier global partner.
Strategic Project Partners
SI PARTNER
Management consulting firm driving data-driven insights
ARQ Group
SI Partner
Technology solutions provider; digital, data and cloud consultancy. A key Zetaris partner.
Tech Mahindra
SI Partner
Global advisory, technology, business, and management consulting services.