Posted By: DMS Marketing | Posted On: 17th December 2020 |
Our world looks very different today than it did nine months ago, and so does your business. As one of the most turbulent years in recent history comes to a close, it’s critical in these uncertain times to prepare for the future. With the pandemic still in full play and economic uncertainty across nearly every […]
Posted By: Meri Gruber | Posted On: 26th January 2016 |
Learn how to innovate risk management and customer processes with decision and process management, from leading experts Roger Burlton and James Taylor. Click here to register for this Free Live Webinar. Operational decision making is not optimized in the majority of organizations because it is buried in business processes and information systems. This matters because […]
Posted By: Meri Gruber | Posted On: 2nd June 2015 |
The presentation and recording from our recent webinar, The Value of Predictive Analytics and Decision Modeling, are now available. 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 recording, James Taylor, CEO and Principal Consultant […]
Posted By: James Taylor | Posted On: 28th October 2014 |
For live updates from IBM Insight 2014, follow @jamet123 and www.jtonedm.com. Here are the live blogging updates from conference: Table of contents for IBM Insight 2014 Opening #IBMInsight Keynote: Seize This Moment: Envision Your Future #IBMInsight Keynote: Envision you journey: Are you ready for real-time decision-making? #IBMInsight Powerful Analytics for Everyone #IBMInsight Keynote: Seize this […]
Posted By: James Taylor | Posted On: 31st August 2014 |
This week’s white paper is an oldie but goodie – The Case for Centralized Customer Decisioning An Imperative for Every Channel, Every Interaction Marketing understands customers better than any other single group, and should own customer treatment decisions.As marketers strive for a genuine dialogue with their customers, an interactive and personalized experience that builds brand and […]
Insurers of all sizes know they must adopt analytics, especially predictive analytics, to maximize the value of their customers, manage risk and compete effectively. One-off, ad-hoc approaches to analytics can demonstrate the value of analytics but are no basis for ongoing success. To succeed, Insurers need to industrialize their approach to analytics, making it integral to day-to-day operations.
In this session leading expert James Taylor will share the three keys to success based on his experience of helping insurers industrialize their analytic efforts and so u
What opportunities are you looking for to improve your business performance? In this webinar you will learn six opportunities that are readily available when you adopt a decision management approach to business rules and predictive analytics. These are opportunities to:
Simplify business processes and so reduce costs and increase business agility by externalizing decisions from them.
Increase straight through processing and so reduce costs by applying decision management technologies to automate decisions.
Increase the speed and accuracy of tactical and managerial decision-making through decision modeling and improved decision support systems.
Use analytics to eliminate “one size doesn’t really fi
When it comes to analytics, many organizations focus on using analytic insight to improve executive decision making. Yet there is often an even greater opportunity when using analytics to improve operational decision making. Operational decisions about a single customer or transaction are made by call centers, local staff, and automated systems. These decisions affect everything from fraud to customer satisfaction, from risk management to resource utilization. Although each decision has a localized impact, enterprises make so many of these decisions that the cumulative impact is enormous.
The right time to make decisions for organizations is increasingly real time. Customers want responses in real time; supply chains must adapt to disruption in real time; fraud must be caught before it gets into the system while self-service and Web applications can’t wait for human intervention. At the same time, organizations have discovered the value of analytic, data-driven decisions. The challenge is to reconcile these demands—to provide real-time, analytic decision making.
Posted By: Meri Gruber | Posted On: 2nd April 2014 |
How do you harness the power of big data to make it practical and actionable in real time? Read our new white paper Real-Time Responses with Big Data sponsored by Oracle to learn more about: Finding value in fast-moving data Identifying high-ROI applications of real-time response Implementing the technologies you need to respond in real […]