Decision modeling is the cornerstone of a Digital Business Platform. Successful digital programs extend their Digital Business Platforms with three critical elements: decision modeling, advanced 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.
Decision Modeling enables the right mix of analytics, AI, rules, machine learning, optimization, decision support and decision automation in a single model. As the world moves beyond rigid programming logic to data-driven decision-making, decision modeling with DMN is critical to the future of your business.
Business Rules/BRMS Projects
Simplify business rules analysis and maintenance, sustain business engagement, improve traceability and impact analysis and extend rule coverage and re-use.
Deploy a working decision automation pilot in just 8-10 weeks. Example application areas: Customer Next Best Action, Claims Handling, Credit Risk, Fraud Detection and Healthcare Clinical Guidelines.
Decision Support Systems
Developing systems that truly support data-driven decisions by focusing on the decision to be made not the data available.
Going beyond information presentation to predictions and recommendations.
Machine Learning Value
Realize value from Machine Learning by developing a shared business understanding and deployment context for multi-functional data science teams and their business partners.
Decision modeling with DMN materials and collaborative software for academic programs.