Three Secrets to Creating a Successful Predictive Enterprise


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 companies to rapidly and effectively turn their data into more profitable and effective decisions.

Wednesday, January 23, 2019 7:00:00 PM PST – 8:00:00 PM PST

Register now.


Decision Modeling for Decision Led Analytics

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.

Getting Started with Decision Discovery

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.

An Introduction to Decision Management

Join James Taylor, CEO of Decision Management Solutions, and Dr. Juergen Pitschke, Founder and Managing Director at BCS Enterprise Modeling, as they answer your most asked questions about Decision Management.