We are living in a progressively more connected world where smarter products and changing consumer expectations are disrupting nearly every industry. While the connected world is data intensive, complex to manage and challenging to harness, the opportunities for generating more value and new propositions are nearly endless.
Octo Telematics has invested in the development of algorithms and analytical tools to help our industry partners maximize opportunities from the connected world – and we continue to do so today. Through actionable intelligence based on the accurate analysis of data, industry partners can differentiate their products and services with innovative customer experiences.
In building globally recognized analytical capabilities to serve the global insurance marketplace, Octo Telematics acquired the usage-based insurance (UBI) assets of Willis Towers Watson, including its market-leading DriveAbility® solution. DriveAbility aggregates and analyses granular telematics and insurance data to provide an industry-leading driving score and assist insurers to design, score, issue and bind telematics-based insurance policies. It also facilitates relationships between stakeholders including automotive OEMs, telecommunication companies and insurers to present convenient, personalized insurance offers to customers using pre-analyzed driving data. Today, a strategic alliance with Willis Towers Watson on additional opportunities continues to enhance both companies’ suite of products and services.
Historically, insurance companies have made underwriting and pricing decisions based on static risk factors that are largely proxies for how, how much, when and where a vehicle is operated. By leveraging actual driving data, data scientists can build telematics-based risk scores that are significantly more predictive than any risk factor used by insurance companies today.
To get the full value from telematics, data scientists must have the right data and employ different techniques than those used for traditional actuarial analysis. Done correctly, insurers can create a score that provides
- double-digit lift,
- optimizes the lift above and beyond traditional factors
- and identifies factors that cause accidents to happen.
Failure to follow best practices for model development will result in sub-optimal lift that makes the business case less compelling. Lift is just one factor that should be considered. To be truly effective, any risk score should also be transparent, cost-effective, flexible, implementable and acceptable to regulatory bodies. Even the most predictive scores may not be effective if they fail one or more of these categories.