Category Archives: Analytics

Payback time: What your CFO wants to know about your loyalty rewards program

Advanced analytics techniques are enhancing loyalty program investment cases and helping to more consistently blend financial and marketing objectives. Most customers love being rewarded for brand loyalty, and businesses love loyal customers. It’s a simple formula that has seen loyalty … Continue reading →

Small business insurance offers fertile ground for InsurTech

As InsurTech continues to scythe a modernizing path through the insurance industry and disrupt traditional value chains, the $100 billion small business insurance sector is shaping up as one of the most promising for investment. Rarely out of the specialist … Continue reading →

The impact of artificial intelligence in transportation

In October 2016 an experimental driverless truck made by Otto, an Uber-owned company, delivered 50,000 cans of beer after travelling 120 miles from Fort Collins, Colorado to Colorado Springs. It did so travelling at 55mph, with a human in the … Continue reading →

How can insurers find real value in their predictive models? Experiment thoughtfully with practical implementation top of mind.

There’s a lot of conversation about new modeling approaches and novel sources of data poised to revolutionize insurance. This extraordinary industry transformation actually began about a decade ago. Analytical methods such as generalized linear models (GLMs) and decision trees were … Continue reading →

Insurers: Is your IT ready for usage-based insurance?

Usage-based motor insurance (UBI) is generating a huge amount of interest at the moment. But are insurers’ IT infrastructure ready for it? In the space of around 15 years, 6 to 7 million American drivers have agreed to have their … Continue reading →

8 things to keep in mind when selecting talent analytics technology

Technology is supposed to help make business decisions related to talent quick and effective. However, selecting the right technology for talent analytics can be challenging. Continue reading →

The coming data revolution in insurance telematics

The mass of new telematics data sources coming on stream for usage-based auto insurance (UBI) providers will take the analytics required in new directions. Connected cars, the Internet of Things (IoT) and other new point-of-sale data sources make information about … Continue reading →

Leveraging data analytics to address workforce challenges

Human resources professionals are under intense pressure to use the wealth of employee data they have available to address a variety of workforce issues, from compensation to finding the right people. Yet many struggle with where and how to start … Continue reading →

How P&C insurers are using, or plan to use, big data

Companies are focused on the importance of big data in a predictive analytics framework to improve their decisions with respect to their overall business strategy. Continue reading →

How are life insurers planning to use big data and predictive analytics?

Life insurers should think ahead about how they want to use and deploy big data and predictive analytics in order to invest in areas that will be needed to succeed. Continue reading →