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 […]
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.
Operational decision making is not optimized in the majority of organizations because it is buried in business processes and information systems. This matters because business processes are ultimately what deliver value to the business. More and more of this value creation is associated with decisions and approvals. This trend is accelerating as more processes are […]
Learn the decision and process management capabilities that drive excellence in mobile applications with leading experts Sandy Kemsley and James Taylor. Mobile devices have gained enough traction with consumers and employees to require mobile applications as a part of an enterprise strategy. However, these mobile apps must be more than mere information presenters. In this […]
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.
Business Rules projects consistently deliver costs savings, agility, and happy customers, but there are challenges – business alignment, automation complexity, re-use. Applying Decision Management and modeling decision requirements speaks the language of business, reduces automation complexity, and enables re-use.