Policyholder Profile Enrichment
Consolidate customer data from various sources, including demographics, interactions, transactions, and more with D365 Customer Insights. Get a comprehensive understanding of each policyholder, their coverage history, claims, preferences, and behavior patterns.
Segmentation and Targeting
Segment policyholders into meaningful groups based on factors like risk profile, lifetime value, or characteristics, preference. to ensure targeted marketing efforts, personalized communications, and tailored product offerings.
Risk Segmentation and Scoring
Create risk segmentation models tailored to the insurance industry. Analyze policyholder data to identify high-risk individuals or segments and assign risk scores based on factors such as age, health status, driving behavior (for auto insurance), and property characteristics (for home insurance).
Predictive Analytics for Risk Assessment
Help insurers predict future risks associated with individual policyholders by analyzing historical data and applying machine learning algorithms. Enable proactive risk management strategies, such as adjusting premiums, offering preventive services, or identifying fraudulent claims.
Fraud Detection and Prevention
Identify anomalies or suspicious patterns in insurance claims data, to detect and prevent fraudulent activities.
Data Visualization
Transform complex data sets into easy-to-understand charts, graphs, and dashboards. Visualize trends in claim frequency, policy renewals, or customer satisfaction scores over time.
Compliance and Regulatory Reporting
Address compliance requirements specific to the insurance industry, such as data privacy regulations (e.g., GDPR, CCPA), insurance industry standards (e.g., NAIC reporting), and regulatory mandates (e.g., Solvency II). Configure DCI to ensure data governance, audit trails, and regulatory reporting capabilities.
AI-driven Insights
Leverage Microsoft Copilot to uncover hidden patterns, correlations, and predictions from insurance data. Receive recommendations for personalized marketing strategy and insurance products or policy options based on individual customer profiles and preferences. For example, you can ask Copilot how many of your customers fit the profile of currently residing in Seattle WA, who are over the age of 25, who have also attended a promotional event in the last six months. With just a few clicks, Copilot will present the results of their query, including the number of customers that match the attributes or behaviors, as well as other useful information such as the customer lifetime value, product preferences, or average purchase price.
