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Predictive Analytics Deployment to Mainframe or Hadoop

Learn how to achieve a standards-based, efficient approach to analytics deployment from open source like R and commercial analytics products to a wide range of platforms including mainframes like IBM zSystems and new data infrastructure like Hadoop. The big challenge...

Upcoming Webinars

Upcoming Webinars

Top Three Success Factors for Delivering the Business Value of Predictive Analytics and Machine Learning Learn three critical success factors in delivering business value from your advanced analytics investments. Free Webinar December 12, 2018, 11:00 AM ET / 8:00 AM...

How to Innovate Risk Management and Customer Centricity

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...

Smarter Mobile Apps with Process and Decision Management

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...

How to Scale Your Decision Management Program

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...

How Business Analysts Can Power the New Analytics Landscape

Companies are taking the next step from Business Intelligence to a truly intelligent business by integrating business analytics into their operations. Today’s BI capabilities like reporting and ad-hoc query are rapidly expanding to a landscape of analytic capabilities...

Engaging Business Users with Drools

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...

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...

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...

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.

The Decision Management Manifesto Explained

The Decision Management Manifesto lays out key principles of Decision Management - why decisions are central to your requirements process and why it makes sense to explicitly design decisions before applying technology.

4 Ways Decision Modeling Creates a Data-Driven Culture

Decision modeling plays a key role as organizations transition to a data-driven culture. A recent Harvard Business Review survey revealed that data-driven decision-making is taking root in leading organizations and showing a positive return. As organizations seek to...

Designing Smart Portals with Decision Management

How to design intuitive, relevant, and personalized Portals using the power of Big Data, Analytics, and Business Rules. Traditional Portals are geared towards presenting the best information for users to make good decisions. Smart Portals are automating knowledge...

Predictive Analytics at the Speed of Business

Organizations are looking to maximize the value of their analytics investment. They need to accelerate the deployment process, reduce costs, and get the analytic insight where they need it, when they need it. Increasingly, organizations must deploy and manage many...