Strategy

What the Future Holds for Decision Optimization

A Guest Post by Neill Crossley, ACIB James, thank you for the opportunity to guest blog in your series on Decision Optimization. First to introduce myself….. I’m a veteran of 35 years in Retail Financial Services, 25 of which working in Decision Management, the last 17 focused on Decision Optimization, I currently work as a […]

New Analytic Approaches in Decision Optimization

There’s a lot you can do right now to optimize your decisions. You can model your decision-making to understand it better, experiment to gather data about what works and for whom. You can engage in continuous improvement, making small changes regularly. And you can optimize your decisions mathematically. But what will you be able to […]

COVID-19: Time to adapt your operations for the new normal

When you’re in the midst of a crisis, it can be hard to think past your short-term response. But, as a leader, your primary focus needs to be on the long term. … Your time should be dedicated to planning for the future. You need to anticipate the obstacles that will arise in the next […]

Using Technology to Reduce Operating Costs in Insurance

In February, we published a blog post on “Using Technology to Add Value in Insurance”. That post, referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question?, in which he states that there are only three levers of value in insurance: 1. Sell More, 2. Manage Risk Better, and 3. Cost Less […]

What is an Acceptable Analytic Failure?

Many speakers on predictive analytics, machine learning (ML) and AI talk about the need to allow data science teams to fail. Without failure, without a willingness to fail sometimes, it’s very hard to build a successful data science program. This is true and often a barrier for companies that find it hard to accept that not all analytics initiatives succeed.