A next best action pilot delivers data-driven marketing decisions directly into the customer journey. Using real-world examples, learn how you can maximize Customer Lifetime Value while providing a decision-centric, continuous improvement business architecture. Our proven decisions-first approach delivers the 5 elements of a powerful next best action platform: decision model, business rules, marketing analytics, impact […]
Learn how you can automate decisions to handle more claims without manual intervention. Boost your Jet or Straight Through Processing rates to new heights to reduce costs, control risk, manage fraud and improve customer satisfaction. The webinar has taken place. Watch the webinar recording here. See how to enforce policies and regulations consistently and automatically. Learn […]
Learn how you can quickly deploy next best action decisions that deliver the right marketing or customer service message to each customer, each time you interact with them. Learn from real world projects how you can deliver targeted, automated customer treatment decisions at every step in the customer journey. Discover the key elements of a […]
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 customer, each time. And they need to deliver the next best action across a portfolio of […]
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.
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 to unfocused requests, and too often the final model results in a positive analytic result that […]
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 framework for connecting business problems to possible analytics solutions. Decision modeling brings clarity to analytics […]
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.
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. Learn best practices from leading organizations […]
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 for analytics-driven organizations today is closing the gap between deriving an analytic result and getting […]