Why make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
How a US-based non-profit health insurance corporation improved their claim processing operations and saved money thanks to data analytics.
Banks can use data to better understand the risks and profitability of each loan, and make better pricing decisions.
As lenders adapt technology that makes data easier to work with, here’s why they require a “single source of truth” to power their mortgage business applications with confidence.
Standard General Liability policies don't cover IT companies for property damage liability to electronic data. Find out what to do to get this coverage.
It’s important for property managers to have an overall picture of their portfolio, but cumbersome tech systems can make property information confusing. Here’s how to find the right solution.
Access to metrics provides insight into the operations of the real estate portfolio.
This introductory-level course is an important first step in developing your knowledge of data science and artificial intelligence (AI) within the context of insurance. It provides an overview of data tools and technologies and develops your understanding of data analysis, data visualisation techniques, an ethical approach to AI and data science techniques for insurance.
Alternative data are proving that there is segment of consumers that is eligible for auto loans-- even if they don't have the traditional credit history to prove it.
High-quality catastrophe exposure data is key to a resilient and competitive insurer’s business. It can improve a wide range of risk management decisions, from