Smarter systems for uncertain times
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This document discusses smarter systems for uncertain times and introduces decision management. It argues that decision management can help businesses manage uncertainty, increase transparency, and give businesses more control. Decision management builds on existing enterprise applications to put data to work. It focuses on operational decision making, puts information to work by making decisions, externalizes logic as business rules, experiments and learns, and manages decision making as a process. The document outlines a three stage process for delivering decision management and discusses the decision management technology stack. It concludes by offering Decision Management Solutions' assistance to help focus on the right decisions, implement a blueprint, and define a strategy.
Smarter systems for uncertain times
- 1. Smarter systems for uncertain timesJames Taylor,CEO
- 2. About meIndependent consultant working with clients to help automate and improve decisionsPreviously a VP at Fair Isaac whereI developed the concept of Decision Management20 years experience in all aspects of software including time in PeopleSoft R&D and at Ernst & YoungBlogger, speaker, writerjames@decisionmanagementsolutions.com
- 4. Why smarter systems?TimelinessReal-time DaysObjectives Complex Trade-OffsStraightforwardRegulations Complex and globalLocal and simpleChanges to Strategy UncertaintyConstantEvery 3-5 YearsLowVery High
- 5. Not THIS smart"I'm sorry, Dave. I'm afraid I can't do that."
- 6. ©2009 Decision Management Solutions6This smart
- 7. ©2009 Decision Management Solutions7Decision Management isA business discipline that builds on existing enterprise applications toput data to workmanage uncertaintyincrease transparencygive the business control
- 8. ©2009 Decision Management Solutions85 principles of decision managementLittle decisions add up so focus on operational decision makingThe purpose of information is to decide so put your data and analytics to workYou cannot afford to lock up your logic so externalize it as business rulesNo answer, no matter how good, is static so experiment, challenge, simulate, learnDecision Making is a process so manage it
- 9. ©2009 Decision Management Solutions9Delivering Decision Management3 stages to better operational decisionsCreate a “closed loop” between operations and analytics to measure results and drive improvementDesign and build independent decision processes to replace decision points embedded in operational systems Identify the decisions (usually about customers) that are most important to your operational success
- 10. The Decision Management technology stackBusiness Process ManagementWeb ServicesPerformanceManagementKPIsVisualizationBIAdaptive ControlDecision ServiceDescriptiveAnalyticsPredictiveAnalyticsOptimizationDatabaseData WarehouseIn-databaseAnalyticsBusiness RulesEnterprise Platform
- 11. ©2009 Decision Management Solutions11Action Plan123456
- 12. ©2009 Decision Management Solutions12Shameless commerceDecision Management Solutions can help youFocus on the right decisionsImplement a blueprintDefine a strategyFor assistance, to find out more or if you have questionsdecisionmanagementsolutions.com/learnmore
Editor's Notes
- #2: 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.
- #11: 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.
- #12: 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
- #13: 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.