The webinar has taken place. The presentation and recording are available here. 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 […]
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 […]
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 […]
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 that include visualization, data discovery, and advanced analytics. Business analysts are in a powerful position to help […]
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.