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Smarter systems for uncertain times

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Smarter systems for uncertain times

  1. 1. Smarter systems for uncertain times<br />James Taylor,<br />CEO<br />
  2. 2. About me<br />Independent consultant working with clients to help automate and improve decisions<br />Previously a VP at Fair Isaac whereI developed the concept of Decision Management<br />20 years experience in all aspects of software including time in PeopleSoft R&D and at Ernst & Young<br />Blogger, speaker, writer<br />james@decisionmanagementsolutions.com<br />
  3. 3. AGENDA<br />1<br />Why?<br />2<br />What ?<br />3<br />How?<br />
  4. 4. Why smarter systems?<br />Timeliness<br />Real-time <br />Days<br />Objectives <br />Complex Trade-Offs<br />Straightforward<br />Regulations <br />Complex and global<br />Local and simple<br />Changes to Strategy <br />Uncertainty<br />Constant<br />Every 3-5 Years<br />Low<br />Very High<br />
  5. 5. Not THIS smart<br />"I'm sorry, Dave. I'm afraid I can't do that." <br />
  6. 6. ©2009 Decision Management Solutions<br />6<br />This smart<br />
  7. 7. ©2009 Decision Management Solutions<br />7<br />Decision Management is<br />A business discipline that builds on existing enterprise applications to<br />put data to work<br />manage uncertainty<br />increase transparency<br />give the business control<br />
  8. 8. ©2009 Decision Management Solutions<br />8<br />5 principles of decision management<br />Little decisions add up so focus on operational decision making<br />The purpose of information is to decide so put your data and analytics to work<br />You cannot afford to lock up your logic so externalize it as business rules<br />No answer, no matter how good, is static so experiment, challenge, simulate, learn<br />Decision Making is a process so manage it<br />
  9. 9. ©2009 Decision Management Solutions<br />9<br />Delivering Decision Management<br />3 stages to better operational decisions<br />Create a “closed loop” between operations and analytics to measure results and drive improvement<br />Design and build independent decision processes to replace decision points embedded in operational systems <br />Identify the decisions (usually about customers) that are most important to your operational success<br />
  10. 10. The Decision Management technology stack<br />Business Process Management<br />Web Services<br />PerformanceManagementKPIs<br />VisualizationBI<br />Adaptive Control<br />Decision Service<br />DescriptiveAnalytics<br />PredictiveAnalytics<br />Optimization<br />DatabaseData Warehouse<br />In-databaseAnalytics<br />Business Rules<br />Enterprise Platform<br />
  11. 11. ©2009 Decision Management Solutions<br />11<br />Action Plan<br />1<br />2<br />3<br />4<br />5<br />6<br />
  12. 12. ©2009 Decision Management Solutions<br />12<br />Shameless commerce<br />Decision Management Solutions can help you<br />Focus on the right decisions<br />Implement a blueprint<br />Define a strategy<br />For assistance, to find out more or if you have questions<br />decisionmanagementsolutions.com/learnmore<br />

Notas do Editor

  • 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.

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