Discover how our global business data & analytics can help you make smarter decisions on innovation, risk management, ESG, quoting, underwriting & more.
In today’s insurance landscape, the power of data cannot be overstated.
Dun & Bradstreet’s global business data, analytics and local industry expertise assist insurers and brokers to drive innovation across the value chain, including:
enabling master data management strategies throughout the enterprise
supporting the activation of technology investments
enhancing compliance and risk assessments
improving customer experience
understanding ESG insights
making smarter underwriting decisions.
Discover how Dun & Bradstreet data can help support innovation, enable ESG insights, improve compliance and risk assessments and facilitate faster, more accurate pricing and underwriting decisions.
We integrate a wide range of diverse data sets to create risk profiles, that allow for more efficient and accurate pricing and underwriting decisions.
At your point of quoting, instantly access information on 560m+ commercial entities across 220+ markets, along with automated risk analysis to uncover threats or profitable opportunities.
Transform the customer experience with intelligent form fills, streamlined risk assessments, and quotes underpinned by our data.
Using ESG metrics, insurers can better understand policyholder and supplier operations.
Going beyond traditional risk measures, D&B ESG Intelligence provides scores on 84m+ companies, offering deeper insights into the operational, financial, and reputational threats policyholders pose.
Quickly assess ESG risks across your portfolio of insureds and suppliers, understand the impact on propensity to claim, identify areas for improvement, and benchmark performance.
Often, what insurers know about their clients and third parties is only the tip of the iceberg. Disconnected systems and poor data limit visibility, increasing the risk of cash flow issues, costly penalties, and supply chain challenges.
We equip insurers with mastered, near real-time data to verify, assess, monitor, and manage these threats. Our unique policy-led risk engine allows insurers to define materiality rules, while automated screening flags when risk arises during the relationship.
Often, what insurers know about their clients and third parties is only the tip of the iceberg. Disconnected systems and poor data limit visibility, increasing the risk of cash flow issues, costly penalties, and supply chain challenges.
We equip insurers with mastered, near real-time data to verify, assess, monitor, and manage these threats. Our unique policy-led risk engine allows insurers to define materiality rules, while automated screening flags when risk arises during the relationship.
SMEs are typically underinsured, with around 44% not having business insurance.
D&B’s Unified Risk View (combined consumer + commercial data) improves pricing accuracy through better understanding of an SME’s financial risk, both before underwriting and monitoring during the customer lifecycle.
When Generali realised that they needed to become more agile and customer centric, they engaged Dun & Bradstreet to help support their exciting innovation and data strategy.
"Whilst the complexity of data increases, the integrated Dun & Bradstreet Solution across our global applications has allowed our organisation to consolidate our customer data to a single standardised view, giving us a complete view of our customer."
“Our screening solution allows us to have a fully integrated workflow with comprehensive data enrichment, covering everything from sales and underwriting activities to compliance and audit, all without system breaks or email traffic.”
Leveraging real-time data for risk management
This international medical insurance provider offers millions of customers access to high quality global health cover, whenever and wherever they need it. Their key challenge was how to deliver swift, clear and consistent risk decisions in a fast-evolving global landscape. Dun & Bradstreet solutions help them provide customers with insurance protection shaped by essential risk checks and due diligence, and without breaching any local or global regulations. That’s vital to upholding the brand’s great reputation amid increasing complexity of third-party risk monitoring.
Data is crucial for making informed insurance decisions.
When evaluating risk, insurers can evaluate data points like predictive analytics regarding business failure and/or financial metrics that review credit, cash flow, ESG credentials can help to inform underwriting and premium decisions. In this case, data ensures fair pricing and helps insurers assess the likelihood of claims.
When looking to better understand customer needs and improve the customer experience, insurers can collect and use data to tailor products and services.
The insurance industry is highly regulated and must comply with laws and rules set by multiple groups. Data can help surface risks which would make them incompliant if they were to insure or be supplied by a particular company.
Up to date data and predictive analytics regarding business failure and/or financial metrics can help to inform pricing and product decisions. By making effective decisions, insurers can improve their ability to compete on price and offerings.