McKinsey recently reported that “Most carriers are struggling to meet their cost of capital, and productivity has barely moved over the past decade” and that “The insurance industry is facing a serious structural challenge … the majority of carriers are not making their cost of capital.” Growing productivity by improving operations is an essential ingredient […]
In many of our decision management projects, we are helping clients adopt the technologies and approaches they need to succeed with digital decisioning and decision automation. One of the key technologies for these types of projects is a Business Rules Management System (BRMS). Sometimes, we clients are initially resistant to using business rules because current […]
Companies are increasingly looking to predictive analytics and machine learning to manage risk, detect fraud, maximize customer value and reduce operational costs. These data-driven decision-making initiatives are compelling companies to move beyond their initial analytics efforts to become predictive enterprises that apply predictive analytics both broadly and deeply. New technologies and new approaches are allowing […]
Many organizations still struggle to get a business return on their investment on advanced analytics. The biggest barrier? An inability to integrate analytics, especially predictive analytics, into frontline systems and business processes. Work with a number of global companies has revealed three critical success factors. By adopting a more decision-centric approach to analytics, changing the […]
A claims handling pilot delivers data-driven claims risk, fraud and wastage decisions directly into your claims process. Using real-world examples, learn how you can maximize straight through “Jet” processing while minimizing risk and fraud using a decision-centric, continuous improvement business architecture. Our proven decisions-first approach delivers the 5 elements of a powerful claims handling platform: […]
Successful digital programs extend their Digital Business Platforms with 3 critical elements: decision modeling, predictive analytics and business rules technology. Coordinating these technologies into a virtual decision hub, Decision Management automates and improves every digital interaction and delivers agile, data-driven, real-time outcomes.
Learn from leading organizations who are broadly deploying decision management and decision modeling at scale. These organizations have learned valuable lessons about using decision management technologies, rolling out the approach and adopting decision modeling. This webinar gives you the opportunity to learn from their experience so you can scale your own decision management efforts more […]
Drools is a technically strong, high performance BRMS. But many organizations trying to engage their business users in maintaining and updating rules find there are challenges in requirements gathering, implementation, and navigation. In this webinar, you will learn why decision modeling with DMN addresses these challenges, making it easier for business users to fully participate.
Learn how to get started quickly with decision modeling with DMN for success with selecting and adopting analytic capabilities for your organization. Organizations today are turning to analytic capabilities to drive decision-making. With the growing focus on using analytics to improve decision-making, it makes sense to select analytic capabilities in a decision-led way.
The path to a better bottom line is paved by large numbers of operational decisions made by people, by processes, and by software applications. Systematically improving each operational decision – at scale – is at the core of Decision Management. Business Architects and Analysts identify, describe, and model operational decisions in Decision Discovery.