Decision Services SOA Symposium

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    Page The modern business climate requires smarter systems than most organizations have. Existing systems, even re-vamped business processes, do not act intelligently on behalf of their operators. Businesses cannot wait for new technologies; they need to make existing systems smarter now. While SOA provides an architectural framework for building these smarter systems, a new class of service must be used to fully realize this goal. Decision Services that manage and improve the high-volume operational decisions that underpin core processes are the best way to make your systems smart enough to run your operations. Decision Services automate these critical operational decisions by providing centralized access to business rules, allowing for the enhancement of those rules with data-driven analytics and support for the ongoing improvement of those decisions over time. The session will: Recap the business challenges that create a need for smarter systems. Show how a focus on decision automation can deliver these smarter systems. Discuss how to identify and classify the decisions involved. Describe the core Decision Service pattern in relation to SOA and the characteristics of decision services. Outline the pattern's impact and its relationship to other SOA design patterns (such as Rules Centralization) and to business process management in general. Discuss the role of business rules and analytics in decision services. Introduce the concept of adaptive control for continuous improvement of Decision Services.

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    Decision Services SOA Symposium - Presentation Transcript

    1. Decision Services A Pattern for Smarter Service-Oriented Systems James Taylor Principal Smart (enough) Systems LLC
    2. Why Smarter Systems? Decision-Making Well-Defined Increasingly Complex Timeliness Days Real-time Objectives Local and clear Complex Trade-Offs Regulations National and simple Complex and global Changes to Strategy Every 3-5 Years Constant Operational Volume Low High
    3. So What IS A Smarter System
      • Operational
      • Real-Time
      • Rapidly evolving - agile
      • Learning
      • Demonstrably Compliant
      • Cost-Effective
      • Business-Driven
    4. Smarter Systems Make More Decisions People Not Made Embedded People Embedded Not Made New Before After Larger boxes represent more decisions, by volume
    5. Different kinds of decisions Low High High ECONOMIC IMPACT OF INDIVIDUAL DECISION Low DECISION VOLUME High-value, low-volume decisions Medium-value, medium-volume decisions Low-value, high-volume decisions
    6. Decisions, Decisions, Decisions
    7. Decision Services – A Pattern
      • Automated decision systems have been a common element of Financial Services application portfolios for some time
      • With the advent of SOA and component architectures, the idea of a separate Decision Service has become widely accepted
      • As the cost of technology has fallen and awareness increased, the approach has been validated
    8. Applications have evolved Data Process Logic User Interface Browser BPM Services
    9. Evolution Completed A self-contained, callable service with a view of all the conditions and actions that need to be considered to make an operational business decision. Decision Services A service that answers a business question for other services and processes. What is a decision service? Services
    10. Problem
      • Some business services implement decisions
      • These services must follow policies and regulations
      • These services must be easy to change
      • These services must be driven “by the numbers”
      • These services simplify business processes
      • These services often replace high-change elements of legacy applications
    11. Many Forces At Work
    12. The Solution
      • ENTERPRISE DECISION MANAGEMENT is an approach for automating and improving high-volume operational decisions.
      • Focusing on operational decisions,
      • it develops decision services
      • using business rules to automate those decisions,
      • adds analytic insight to these services using predictive analytics
      • and allows for the ongoing improvement of decision-making through adaptive control and optimization .
      • Process Management
      • Standardizes processes How should a process be carried out?
      • Facilitates collaboration and workflow
      • Process automation around decision-making
      • Workflow definition and management
      • Integration broker
      • Decision Management
      • Standardizes decision-making What should the decision be based on?
      • Facilitates decision automation and maintenance
      • Replaces manual decision-making within processes
      • Business rules definition and management
      • Decision broker
      Decisions and Processes Complementary but not the same
    13. Applicability
      • Large numbers of policies or regulations apply
      • Policies and regulations that change a lot
      • Decisions that require business domain knowledge to understand
      • Decisions that are complex or have complex interactions
      • Decisions that the business insists on owning
      • Decisions requiring analytic insight
      • Some Combination
    14. Consequences Isolation of Decisions Control and Agility in Business Processes Business Control of Decisions Integration Points for Advanced Analytics Externalization from Legacy Applications
    15. Decision Services in BPM
      • Processes become complex when decision making is mismanaged
      • Explicit decision services simplify processes dramatically
    16. Context
    17. Delivering Decision Management
    18. The Evolution Of An Interaction
      • Automate Decision
      • Apply rules
      • Segment customers
      • Predict risk, value
      • Optimize decision
      Web http://www.f Email Call Center Mobile
    19. Business Rules Are Everywhere Experienced Personnel Regulations Policy Manuals Legacy Systems Historical Data Managed Business Rules
    20. Manageable Business Rules Smart (Enough) Systems, Prentice Hall June 2007. Fig 4.3 If customer is GoldCustomer and Home_Equity_Loan_Value is more than $100,000 then college_loan_discount = 0.5% If member has greater than 3 prescriptions and prescription’s renewal_date is less than 30 days in the future then set reminder=“email” If patient’s age is less than 18 and member’s coverage is “standard” and member’s number_of_claims does not exceed 4 then set patient’s coverage to “standard”
    21. Data Mining - Improve Rules * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Low-moderate income, young High Income High income, low-moderate education Moderate-high education low-moderate income High Moderate education, low income, middle-aged Low education, low income Education Age High
    22. Predictive Analytics – Add Insight 10 20 30 40 Member renews Member fails to renew
    23. Business Rules and Decision Services
    24. Impact May Take Time to Play Out
    25. Use Adaptive Control to Continuously Improve
    26. Adaptive Control Inside a Decision Service
    27. Building Decision Services Smart (Enough) Systems, Prentice Hall June 2007. Fig 5.1 Production Process Enterprise IT Infrastructure Data Warehouse Operational Data Store Business Rules Predictive Analytics Decision Service Adaptive Control
    28. Known Uses
      • Recommendations
      • Next Best Action
      • Underwriting
      • Fraud Detection
      • Eligibility
      • Scheduling
      • Accounting Allocation
      • Billing
      • Dynamic Pricing
    29. Wrap Up
      • Smarter Systems are Needed
      • Systems must make more decisions
      • In an SOA world this means Decision Services
      • Decision Services are a pattern
        • Well proven
        • Built on existing technology
        • Compatible with Rules Centralization
        • Ready for analytics
    30. Smart (Enough) Systems – The Book
      • How key business trends impact the decision-making process
      • Why organizations need systems smart enough to cope with these trends
      • How decision automation can make their systems smart enough
      • How to translate decisions into a corporate asset and competitive advantage
      • The ROI and business impact of better decisions and smarter systems
      • The core concepts and technologies needed and how they work together
      The book is full of insightful examples of problems solved by applying Enterprise Decision Management across various industries and outlines a practical and incremental method for implementing the technology.
    31. Thank You James Taylor [email_address] http://www.smartenoughsystems.com Blog : www.smartenoughsystems.com/wp

    + Decision Management SolutionsDecision Management Solutions, 2 years ago

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    My presentation to the SOA Symposium in Amsterdam

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