BPM and The Decision Model
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Why BPM modeling requires The Decision Model to reduce process model complexity.

Why BPM modeling requires The Decision Model to reduce process model complexity.

By Suleiman Shehu
www.azinta.com

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BPM and The Decision Model Presentation Transcript

  • 1. An Azinta presentation for DevCSI Developer 2011 Suleiman Shehu, CEO Azinta Systems Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 2.  Business Process Modelling (BPM) ◦ Model business processes using graphical notations ◦ Model the sequences of tasks within a business process ◦ Expected Benefits:  Great for the automation of business processes using a BPM execution engine (e.g. jBPM, Activiti, Intalio BPM, etc.)  Improved business process agility and optimisation ◦ Potential Problems:  Most BPM models are too complex due to the unstructured mixing of business logic (rules) within process models  Difficult to make (and test) changes to BPM models resulting from changes in business logic (rules)  Complexity of large scale BPM projects can often lead to significant project over-runs and project failure. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 3.  Business Logic (Rules) ◦ Business logic (rules) are critical for making business decisions and the key competitive differentiator ◦ Business Rules are the “why” behind use cases, processes and systems ◦ Expected Benefits:  Logic (rules) are the means of guiding business behaviour toward business objectives  Can be automated using a BRE engine (e.g. Drools, OpenRules, etc.) ◦ Current Problems:  Prior to The Decision Model, there was no universal rigorous way to separate business logic (rules) as something totally unique in its own right with its own look-and-feel and its own agile change cycle Commercial In Confidence - (c) Azinta 2011 16 February 2011
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  • 7.  Changes the way we  Changes the way we manage, leverage and manage, leverage and store data store business logic  Recognises that business Recognizes that data has logic has its own its own existence existence Elevate data as an  Elevates business organisational asset decisions (logic) as an organisational asset Introduces rigor through  Introduces rigor through normalisation principles normalisation principles Impacts technology,  Impacts technology, methodology and best methodology and best practises practisesThe Relational Model The Decision Model Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 8. Before Decision Model After Decision Model Commercial In Confidence - (c) Azinta 2011 16 February 2011
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  • 10.  Business logic is the means by which the business derives conclusions from facts. The simplest case is the evaluation of a single fact leading to a single conclusion Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 11.  An atomic piece of business logic ◦ Consists of zero to many conditions ◦ Leading to a conclusion about one fact type ◦ Each condition is an atomic logical expression about an atomic fact type ◦ Conditions are ANDed together, never ORed Commercial In Confidence - (c) Azinta 2011 16 February 2011
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  • 20.  The Decision Model contains: ◦ Structural Principles – Structural simplicity ◦ Declarative Principles – Declarative Structure ◦ Integrity Principles – Optimal Logical IntegrityThese normalisation principles ensure that RuleFamilies and their relationships are free oflogical errors and that there are no conflict orduplication in the business logic. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 21. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 22. Decisions Rule or Decision Methodology Rule Families Gateway to Production Gateway to ProductionProcess Models Business Rule (Business Rules) Engine (BRE) Glossary Automated System (non-BRE) Rule Sources Analysis Manual Business Governance Process Process ExcellenceDecision Models Results / Statistics / Metrics © 2010-2011 New Wisdom Software. All Rights Reserved.
  • 23.  Download The Decision Model Primer from KPI International website www.kpiusa.com Read The Decision Model Book Contact Suleiman Shehu at Azinta Systems to: ◦ Get details of Decision Model Training courses ◦ Evaluate the RuleGuide product ◦ Conduct a Decision Model pilot projectAzinta Systems contact details:Email: suleiman.shehu@azinta.comTelephone: +44(0) 845 658 6909Acknowledgement:Azinta acknowledges that several slides in this presentation arecopyright to KPI International Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 24. Millennium House 3 Humber Trading Estate Humber Road London NW2 6DW Tel: +44 (0) 845 658 6909 www.azinta.com suleiman.shehu@azinta.comCommercial In Confidence - (c) Azinta 2011 16 February 2011