2. About me Independent consultant working with clients to help automate and improve decisions Previously a VP at Fair Isaac whereI developed the concept of Decision Management 20 years experience in all aspects of software including time in PeopleSoft R&D and at Ernst & Young Blogger, speaker, writer james@decisionmanagementsolutions.com
4. Why smarter systems? Timeliness Real-time Days Objectives Complex Trade-Offs Straightforward Regulations Complex and global Local and simple Changes to Strategy Uncertainty Constant Every 3-5 Years Low Very High
5. Not THIS smart "I'm sorry, Dave. I'm afraid I can't do that."
10. The Decision Management technology stack Business Process Management Web Services PerformanceManagementKPIs VisualizationBI Adaptive Control Decision Service DescriptiveAnalytics PredictiveAnalytics Optimization DatabaseData Warehouse In-databaseAnalytics Business Rules Enterprise Platform
In an uncertain world, businesses require agility more than ever. Agile businesses cannot be bound by fixed or hard to change systems. Equally the realities of the modern business environment do not allow for manual processes and purely human decision making. Outsourcing, customer service delivered through complex business webs, a need for real-time response and huge data volumes all force the issue – we must automate processes and decision-making. Yet we must ensure this automation gives us flexibility to change our approach, allows us to experiment and sets us up to learn. This keynote shows applying Decision Management to existing systems builds in agility, supports experimentation and ensures our systems learn from the data they collect.
Decision Management builds on a standard technology platform – typically an SOA oneUses the existing data architecture and performance management environment – provides contextSupports the move to BPM and web services/composite applications – more contextWithin this framework build decision servicesAutomate them using business rules and predictive models – rules for policies, expertise and analytics for analysis and experience.Enhance them using adaptive control and optimization – for learningNote there is no technology to simulate biases and pre-conceptions but that’s probably a good thingThere was a recent argument in the blogosphere between SAS and IBM on predictive analytics, optimization and business rules. They were taking pot shots at each other about who had what technology but I think they both tended to miss the point – we are trying to improve decision making here so let’s focus on that, the technology should be selected to deliver on that promise. You might need all of this or just some of it – that does not matter. Making better decisions does.
Identify decisions that matterExternalize them from legacy systems, processesBuild decisioning components, decision servicesBuild in experimentation, test and learnConsider business rules and analytics togetherManage organization, change, readiness issues
Decision Management Solutions can help youFind the right decisions to apply business rules, analyticsImplement a decision management blueprintDefine a strategy for business rule or analytic adoptionYou are welcome to email me directly, james at decision management solutions.com or you can go to decision management solutions.com / learn more. There you’ll find links to contact me, check out the blog and find more resources for learning about Decision Management.
