BIG DATA ANALYTICS IN MOTOR AND HEALTH INSURANCE

whitePaper | August 25, 2022

From climate change to Covid-19, shifting customer demand to ever-evolving regulatory compliance, the challenges are ongoing and today present some of the biggest barriers to success faced by the insurance industry. The sheer amount of upheaval has been unprecedented, and its pace is only accelerating. It comes as no surprise that as a result, 64% of global insurance CEOs plan to significantly increase their digital transformation investment over the next three years.

whitePaper | December 5, 2022

The convenience of embedded insurance is making it one of the most desirable forms of insurance distribution for all parties involved. On the demand side, consumers’ appetite for convenience — and their willingness to conduct transactions online — are both higher than ever. The technologies involved in embedding insurance coverage into other products and services have been perfected. As a result, insurers are uniquely positioned to benefit from the rise of embedded insurance.

whitePaper | December 13, 2022

A recent roundtable hosted by Insurance Post in association with LexisNexis Risk Solutions saw an expert panel discuss how data enrichment can be used from a post-loss perspective and what this change could mean for the future of property claims. This article provides a summary of the discussion.

whitePaper | July 18, 2023

Insurance companies and providers of health care benefits lose hundreds of millions of dollars yearly due to fraudulent claims for health benefits. Some of these are bogus claims that originate from insured persons, while others are payments for insured services that are not needed but are wrongly prescribed by providers who stand to make illegal profits.

whitePaper | January 10, 2020

The annual EY Insurance Outlooks represent a perspective on key issues shaping the industry in the near term (three years). They complement the NextWave series, which takes a longer-term perspective (five years and beyond) and examines specific market scenarios that will shape the future of the industry.

whitePaper | June 16, 2022

Data has always been an important asset in the insurance industry, which is largely built on algorithms and financial models. Today, that is truer than ever before. Data can be analyzed to provide insurers with deeper business insights and the ability to target the right customers through the right channels with the right offerings in the right sequence. It also has opened the door to a growing group of digital natives and insurtechs that bring innovative ideas and solutions to help accelerate and improve the customer journey. Today, the advent of artificial intelligence (AI) is increasing the importance of data across the industry. AI is widely recognized for its potential to bring greater efficiency and innovation to the entire insurance value chain, from customer acquisition to claims processing, and for all stakeholders, including customers, agents and employees. However, effective AI depends on current, accurate and relevant data. AI is key to competitiveness, and data is key to AI.