3 Critical Elements of a Digital Business Platform
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...
Success in Customer Next Best Action: Decision Modeling, Rules and Analytics
Digitizing, personalizing and improving customer interactions is critical to business growth, customer retention and market engagement. Executives want to ensure that every interaction with every customer adds value - they want to deliver the next best action for each...
5 Things You Need to Know Before You Deploy Your Model
Once you have a predictive analytic model, data mining output, a machine learning result or any other analytic output, the answers to these 5 questions determine how well deployment is going to go.
6 Questions to Ask Your Business Partner Before You Model
Get the business understanding right! Analytics Teams know that one of their biggest challenges is effective communication and collaboration with their business partners. Projects are plagued with too many iterations to get to a solution, too many detours responding...
3 Reasons to Adopt Decision Modeling in Your Existing BRMS Program
A decision modeling approach using DMN is the best practice for for scaling BRMS programs. Decision modeling address 3 key challenges of a existing BRMS program, improving traceability, sustaining business engagement and maximizing re-use while minimizing duplication.
Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study
Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a...
4 Reasons to Start with Decision Modeling on Your First BRMS Project
If you are kicking off your first BRMS project, don’t start by gathering the rules! Often teams will be advised to begin their business rules project by gathering all the relevant rules, in a natural language or rulebook approach. But these rules-first approaches...
DecisionsFirst Modeler Integration for IBM ODM
Watch the demonstration of the integration capability of DecisionsFirst Modeler Enterprise Edition with IBM Operational Decision Manager (ODM). DecisionsFirst Modeler enables organizations to accurately specify their business using decision requirements models;...
DecisionsFirst Modeler Integration for RedHat JBoss BRMS
Watch the demonstration the integration of DecisionsFirst Modeler Enterprise Edition with RedHat JBoss BRMS. DecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides...
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...