How to Succeed with Advanced Analytics at Scale

Free Live Webinar
October 15, 2015
10:00 am PDT, 1:00 pm EDT
Register here

Leading organizations today are looking to scale their advanced analytics capabilities, especially data mining and predictive analytics, to improve business performance, reduce fraud and improve customer responsiveness. However traditional analytic project approaches are hard to scale and difficult to implement in the real-time environment required in modern enterprise architectures.

In this live webinar, learn best practices from leading organizations adopting decision modeling to scale their analytic software investments and improve the ROI. Learn:

  • The critical obstacles for an analytic operating model.
  • How decision modeling provides the framework needed to easily and clearly align the business objectives with the analytics.
  • How decision management eases deployment and integration of analytics into operational systems.

Register today! This is a live webinar with a Q&A following. If you would like to attend but can’t make the webinar time, please register to receive a copy of the presentation and a link to the recording.

Advanced Analytics for the Business Professional

Advanced Analytics is not just for data scientists anymore. Many businesses adopt their analytics by degree of complexity, limiting business professionals to reporting and dashboard views of their business. But recent research has found that with modern tools and techniques it is of much higher value to adopt the analytic capability needed where needed, enabling […]

The Value of Predictive Analytics and How Using Decision Modeling Helps You Succeed

Successful predictive analytic projects follow a well-defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that improve business performance. In this live webinar, James Taylor, CEO and Principal Consultant at Decision Management Solutions and Matt Kitching, Senior Data Scientist at Apption, an award winning analytics consulting company, discuss […]

Framing Analytic Requirements with Decision Modeling

One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT, and analytics teams. A decision requirements model makes it clear how to best leverage analytics.

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 why decision modeling with DMN addresses these challenges, making it easier for business users to fully participate.

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.

4 Key Benefits of Integrating BPMN and DMN

The landscape of process modeling has evolved, as have the best practices. The Decision Model and Notation (DMN) is an evolution of Business Process Model and Notation (BPMN) 2.0 into an even more powerful and capable tool set.

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