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An Azinta presentation for DevCSI Developer 2011
                              Suleiman Shehu, CEO
                                    Azinta Systems




             Commercial In Confidence - (c) Azinta 2011   16 February 2011
   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
   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
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
   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                              practises

The Relational Model                  The Decision Model

                         Commercial In Confidence - (c) Azinta 2011   16 February 2011
Before Decision Model            After Decision Model

                    Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
   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
   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
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
   The Decision Model contains:
    ◦ Structural Principles – Structural simplicity
    ◦ Declarative Principles – Declarative Structure
    ◦ Integrity Principles – Optimal Logical Integrity

These normalisation principles ensure that Rule
Families and their relationships are free of
logical errors and that there are no conflict or
duplication in the business logic.



                          Commercial In Confidence - (c) Azinta 2011   16 February 2011
Commercial In Confidence - (c) Azinta 2011   16 February 2011
Decisions



                          Rule or Decision Methodology
                                                           Rule Families




                                                                                Gateway to Production
                                                                                Gateway to Production
Process Models                                                                                           Business Rule
                                                         (Business Rules)
                                                                                                         Engine (BRE)

                                                            Glossary
                                                                                                        Automated System
                                                                                                            (non-BRE)
 Rule Sources                                                Analysis

                                                                                                        Manual Business
                                                           Governance                                      Process

                                                            Process
                                                           Excellence
Decision Models
                                                           Results / Statistics / Metrics
                  © 2010-2011 New Wisdom Software. All Rights Reserved.
   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 project

Azinta Systems contact details:
Email: suleiman.shehu@azinta.com
Telephone: +44(0) 845 658 6909

Acknowledgement:
Azinta acknowledges that several slides in this presentation are
copyright to KPI International



                                 Commercial In Confidence - (c) Azinta 2011   16 February 2011
Millennium House
                                       3 Humber Trading Estate
                                                   Humber Road
                                                          London
                                                        NW2 6DW
                                     Tel: +44 (0) 845 658 6909
                                                 www.azinta.com
                                   suleiman.shehu@azinta.com




Commercial In Confidence - (c) Azinta 2011   16 February 2011

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BPM and The Decision Model

  • 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
  • 4. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 5. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 6. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 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 practises The 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
  • 9. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 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
  • 12. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 13. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 14. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 15. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 16. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 17. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 18. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 19. Commercial In Confidence - (c) Azinta 2011 16 February 2011
  • 20. The Decision Model contains: ◦ Structural Principles – Structural simplicity ◦ Declarative Principles – Declarative Structure ◦ Integrity Principles – Optimal Logical Integrity These normalisation principles ensure that Rule Families and their relationships are free of logical errors and that there are no conflict or duplication 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 Production Process Models Business Rule (Business Rules) Engine (BRE) Glossary Automated System (non-BRE) Rule Sources Analysis Manual Business Governance Process Process Excellence Decision 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 project Azinta Systems contact details: Email: suleiman.shehu@azinta.com Telephone: +44(0) 845 658 6909 Acknowledgement: Azinta acknowledges that several slides in this presentation are copyright 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.com Commercial In Confidence - (c) Azinta 2011 16 February 2011