Digital Disruption of the Insurance Industry

whitePaper | August 1, 2022

As the saying goes, “practice makes perfect.” In other words, people learn from experience. According to the Oxford Dictionary, “regular exercise of an activity or skill is the way to become proficient in it, especially when encouraging someone to become persistent in it.” While practice cannot truly make someone perfect in any industry or activity, persistence does usually lead to increased proficiency, and seasoned practitioners typically outperform those who are just starting out.

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 | December 12, 2022

At a recent roundtable held by Insurance Post in association with LexisNexis Risk Solutions, an expert panel discussed how motor insurers could make better use of data to improve the customer journey post-loss, improve efficiency and, ultimately, create a seamless claims process.

whitePaper | September 26, 2022

There are several developments that continue to impact the automotive industry to a significant extent. Among these factors are the push by governments towards vehicles powered by new energies, the COVID-19 pandemic with its subsequent economic fallout – such as chip and raw material shortages – war, socio-demographic changes, and technological advancements.

whitePaper | September 1, 2022

Insurers and reinsurers have engaged in a mutually beneficial, if somewhat co-dependent, relationship for centuries. It’s not only a partnership, but also a dance. And while it takes two to tango, reinsurance plays a key role in the well-being of insurers and when managed skilfully provides critical risk management for the long term.

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.