Posted By: James Taylor | Posted On: 24th May 2018 |
Jim Sinur of Aragon Research just released a new report: Decision Management Platforms Sharpen Decision Outcomes for Enterprises An organization’s ability to execute superior decisions will be a huge differentiator in today’s ever-changing business environment. Currently, enterprises are faced with the challenge of making faster decisions, despite the limited skill base to assist more frequent […]
Jim Sinur of Aragon Research just published The Decision Management Framework Delivers Better Decisions (subscription required): This research note defines the Decision Management Framework (DMF) so that business and IT leaders will be more equipped to make beneficial decisions for their organizations. The DMF can be applied to a wide range of business scenarios. It […]
Posted By: Meri Gruber | Posted On: 17th February 2015 |
Friday, March 13, 2015 12:30 pm PST, 3:30 pm EST Free Registration Here. Signup for a walkthrough of our free DecisionsFirst Modeler Tutorial. The tutorial covers every step in creating a first decision requirements model – from decisions to objectives, application context to decision requirements diagrams. The tutorial will also show you how to use the […]
Posted By: Meri Gruber | Posted On: 19th September 2014 |
The path to a better bottom line is paved by large numbers of operational decisions made by people, by processes and by software applications. Systematically improving each operational decision – at scale – is at the core of Decision Management. Business Architects and Analysts identify, describe and model operational decisions in Decision Discovery. In our […]
Posted By: James Taylor | Posted On: 17th September 2014 |
Brian McDonough has been writing (with Dan Vesset, Steve Hendrick, Henry Morris and others) on Decision Management at IDC for many years and he has recently published an IDC MarketScape: Worldwide Decision Management Software Platform 2014 Vendor Assessment. The report has an IDC MarketScape figure, IDC’s opinion on the Decision Management market, process and software as well as some […]
Posted By: James Taylor | Posted On: 30th August 2014 |
Michael Fitzgerald wrote a great piece of the MIT Sloan Management Review this week – The Four Traps of Predictive Analytics. Michael saw me present at an event for Predixion in Boston and then went on to chat with me a couple of times. It’s a great piece, highlighting four critical issues around predictive analytics: The […]
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
Posted By: James Taylor | Posted On: 1st August 2014 |
There was a fascinating piece in the Economist last week – Little things that mean a lot. This piece really resonated with me – even the title sounds a lot like my mantra of “Big Data, Little Decisions” (you can see a selection of the articles and webinars I have given on this topic here). So what were the critical points Schumpeter made?
First the point that constant experimentation and rapid iteration is critical when trying to get value from all this data. Experimentation is often the skill we tell clients they most need to develop and we regularly stress the importance of putting in place the infrastructure and processes for ongoing decision results analysis. To maximize the value of big data and beco
Posted By: James Taylor | Posted On: 30th July 2014 |
Tracy Allison Altman over at Ugly Research has a great new white paper – Data is easy: Deciding is hard – in which she quotes me (thanks Tracy). It’s a great paper and makes what I think is the critical point – that you don’t need a data culture but a decision culture. And I would add that you need this at every level – strategic, tactical and operational. The paper has some great advice and I would add a couple of additional thoughts:
For decisions you make often – some tactical and all operational decisions for instance – build a decision model so you know how you think you are going to/should make the decision moving forward. Here at Decision Management Solutions we use the new Decision Model and Notation (DMN) Standard and our modeling
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.