Graphical Business Rules Management

Shown with the Business Case Master Data Management at EUREX Graphical Business Rules Management Volker Grossmann, Innovations Jan Trnka, STABIL IT

Business Rules
change most frequently
are difficult to reconcile
bear a high risk
are error-prone
hazards: incompleteness, contradiction, redundancy
are hard-wired
Business IT Systems Rules Rules Rules Rule changes are tedious, risky and expensive

How to Solve This Dilemma?
separate from program code
do not hard-wire
make them easy to reconcile
manage by Business and IT
test separately
apply changes automatically
manage centrally
Business IT Systems Rules Rules Rules Rules All this is accomplished by a BRMS that makes rule changes fast, safe and easy BRM

Cooperation between Business and IT Business IT Results from using Visual Rules
Architecture
Integration
Deployment
Infrastructure
Focus on technical aspects
Clear specs from business
Less maintenance efforts
Agile software Less costs Better quality
Focus on business aspects
Fast and easy changes
Business logic ownership
Target
Define,
Simulate,
Test and
Document business rules
Tasks

Visual Rules

Rule Elements Decide Make a decision Assign Calculate values and update data Fire Action Execute an action Call Flow Rule Call a flow rule Call Decision Table Call a decision table Call Service Call a service Done & Return Immediately return to the calling rule Repeat Repeat the following part of the rule End Repeat Immediately exit a Repeat Return Exception Create exception and continue at exception handling Handle Exception Specify what to do when an exception is thrown

Flow Rules
Flow rules are created using simple drag&drop
Flow rules consist of decisions, assignments, actions and exceptions

Decision Tables
Decision Tables can also be created via drag & drop
Decision Tables can contain decisions, assignments, actions and exceptions

Testing
Test cases define input and expected output of a rule
Detected deviations of input/output/internal data or actions are reported

Management
Rules are fully versioned
Visual compare & merge capabilities

Package and Rule Dependencies
Rule and rule package dependency visualization

Documentation

Introduction: EUREX
Joint venture of Deutsche Boerse and SIX Swiss Exchange
One of the world largest derivative exchanges
One of the largest Repo and SLB markets providers in Europe
> 500 Participants (Banks)
Repo Market
Leading European Repo market place since 1995
Exclusive usage by the Swiss Federal Bank (SNB) for conducting monetary interventions
SLB Market
Leading European market place for securities lending & borrowing = 60‘000 securities from 87 countries worldwide
www.eurexrepo.com
Introduction

Problem Description: Master Data Maintenance
10‘000 securities is a limit for manual maintenance
Problems:
Data quality
Consistency
Compliancy with specifications
Time (time to market)
Goals for new solution:
Automate the process => lower costs
Increase the quality
Process much higher data volume (100’000 securities) => increase performance
Problem description

Rule-Based Data Maintenance
Rule-based Data Maintenance Valid & consistent Data Automated Process
Valid
Consistent
Unified format
How? Data, or Data fragments
Incomplete
Inconsistent
Various formats
complete filter & merge capture validate release distribute

Rule-Based Data Maintenance
Rule-based Data Maintenance Minimal Human Interaction Persistent Data Storage Information Capture Presentation Data Dissemination
Valid Data:
File
WebService
DB Table
E-Mail
Automated, Rule-driven Process
Incomplete Data
Fragments:
File
WebService
Web-Extract
E-Mail
DB Table

What it really does
Data input as e-mail, file, Web-page
Various formats (XML, csv, text, Edifact)
Consolidation of data from different sources (Bloomberg, Telekurs, ..)
Rule-based validation of all data according to business requirements
Rule-based composition of securities into baskets and markets
Rule processing uses 35 decision trees > 2,000 rules
Automatic data dissemination to the trading platform
Rule-Based Data Maintenance at Eurex
Automated, Rule-driven Process

Impact of Visual Rules
Change of business logic without change of source code
Responsibility is with the business unit, not with IT (the natural know-how owner is responsible)
Experiments with data and rules are possible
Intuitive and easy to use user interface
Side effects
User must know his business
Rule outcome is exclusively “yes” or “no”
Bad rules may screw-up the system (versioning required)

Business Impact
100’000 securities processed within 3 hours
Data volume increase by factor 10
Degree of automation = 98%
Cost saving
Eurex data quality is now market reference!

What do Analysts say?

Visual Rules Components

Detailed Eclipse-based Modeler Architecture Visual Rules Modeler Test Editor Flow Rule Editor Workspace Decision Table Editor Eclipse Platform JDT (Java Development Tools) EMF (Eclipse Modeling Framework) GEF (Graphical Editing Framework) EMF Commands Rule Meta Model (Ecore) EMF Validation Rule Model Validation (OCL and Java) BIRT (Business Intelligence and Reporting Tools) Equinox (OSGi) Java Code Generator (Velocity Templates) Rule Model Export (HTML) Java Integration API Rule Navigator Java Import Ant Tasks Rule Models (EMF Resources) Rule Integration API Data Model Synch API Extension Points Advisor Security Functions Actions Services Custom UI Debugger Debugging Framework Execution/ Testing JDT Launch Compare/Merge Team API

Visual Rules Enterprise Platform

Any Questions ? Volker Grossmann, Product Management Visual Rules [email_address] Jan Trnka, CEO STABIL IT [email_address]

Graphical Business Rules Management

by guest5a591 on Nov 11, 2008

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Graphical Business Rules Management — Presentation Transcript