Untapped Opportunities in Data Analytics for P&C Insurance

This Week in Analytics: News

Best practices for post-implementation predictive models, 2017’s record hurricane season put insurance transformation to the test, Insurers: Data Science doesn’t need to be so complicated, 5 Tips for Overcoming a Change-Averse Culture

Best practices for post-implementation predictive models

In 2017, 62% of insurers incorporated predictive analytics into their underwriting, according to the “2018 Outlook Report” from Valen Analytics. The majority of insurers are utilizing data-driven approaches to better understand their risks in underwriting commercial business. Read the full article…

2017’s record hurricane season put insurance transformation to the test

Insurers spent much of the first half of 2017 focused on transforming the industry with digital innovation. And in late summer, many of those investments were put to massive real-world tests in one of the most remarkable and memorable catastrophe seasons ever for the property and casualty insurance industry. Read the full article…

Insurers: Data Science doesn’t need to be so complicated

There has been quite a bit of activity – if not outright hype – regarding the promise of big data and data science. Read the full article…

5 Tips for Overcoming a Change-Averse Culture

The environment for change in many organizations is unfriendly at best, creating a challenge for leaders trying to push for innovation. In a recent article for the blog Lead Change, leadership consultant Jon Lokhorst offered these five tips for leaders trying to initiate and navigate change in a change-averse culture: Read the full article…