By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
    predictive analytics for amazon pricing
    Using Predictive Analytics to Get the Best Deals on Amazon
    8 Min Read
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Decisions in IBM WebSphere/ILOG BRMS
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Business Rules > Decisions in IBM WebSphere/ILOG BRMS
Business RulesDecision Management

Decisions in IBM WebSphere/ILOG BRMS

JamesTaylor
Last updated: 2011/03/23 at 3:51 PM
JamesTaylor
4 Min Read
SHARE

Christian de Sainte Marie from the ILOG group at IBM presented to the OMG Decision Model Notation day on the role of decisions in the ILOG Business Rules Management System. Christian started by describing a BRMS (see my brief on what is a BRMS) and the ILOG BRMS in particular.

Christian de Sainte Marie from the ILOG group at IBM presented to the OMG Decision Model Notation day on the role of decisions in the ILOG Business Rules Management System. Christian started by describing a BRMS (see my brief on what is a BRMS) and the ILOG BRMS in particular. He drilled down a little into rulesets – stand-alone executable containers for a set of rules that can represent a decision and be deployed as a decision service or can be part of a decision (see this post on decisions, rulesets and rules and how they relate). Obviously these rules must act against business objects – fact types – and like most BRMS the IBM environment takes technical object models (database designs, XML structures, Java objects) and presents them as a business friendly object/fact model by layering a vocabulary on top. Christian also made the point that the use of an underlying conceptual model that can be shared is critical for modeling and sharing.

The ILOG BRMS supports a number of metaphors to describe rulesets – decision tables and decision trees for example. Their use of decision tables is just as Jan described in this presentation and decision trees are used where segmentation or sharing of common conditions are important. At the end of the day, both metaphors execute as a set of business rules – a ruleset. Essentially the metaphors describe the structure of the rules and the data in the decision table, for instance, is combined with this structure to create a set of executable rules. With IBM’s acquisition of SPSS the integration of predictive analytics with business rules has moved on with models being imported as decision trees using PMML. Finally of course many decisions require multiple rulesets and so ILOG like other BRMS supports the notion of a ruleflow – perhaps better described as a decision flow. These looks like simple processes but are limited to basic flow concepts (a small subset of BPMN for instance). A step might be a simple ruleset but it might also be multiple packages of business rules with pre-conditions etc.

In general the use of a BRMS is different from decision modeling – it tends to be bottom up (assembling rulesets into a decision for deployment as a decision service) and much more technical (specifying execution styles etc). It is also true that there are non-declarative elements of business decisions.

More Read

big data and accounting

Strategies to Make Better Profits for CPAs During Tax Season

What to Consider When Choosing a Masters in Business Analytics
Understanding the Tremendous Benefits of IoT for Small Businesses
5 Essential Cybersecurity Tips For Data Centric Businesses In 2021
How To Interact With Power BI Data In A PowerPoint Presentation

Christian wrapped up by saying that business rule application design and decision modeling are complementary but not the same – that they are orthogonal to some degree. To be interoperable, to work well together, they need to share vocabulary and the “process” of decision making must be manageable as well as the rules.

Previous in series
Copyright © 2011 http://jtonedm.com James Taylor

JamesTaylor March 23, 2011
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Best Practices Big Data Data Collection Data Management Privacy
data protection for SMEs
8 Crucial Tips to Help SMEs Guard Against Data Breaches
Data Management
How AI is Boosting the Customer Support Game
How AI is Boosting the Customer Support Game
Artificial Intelligence
AI analytics
AI-Based Analytics Are Changing the Future of Credit Cards
Analytics Artificial Intelligence Exclusive

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

big data and accounting
Business RulesData ManagementITSoftware

Strategies to Make Better Profits for CPAs During Tax Season

10 Min Read
Business,Analytics,(ba),Technology,Using,Big,Data,,Cloud,Computing,And
Analytics

What to Consider When Choosing a Masters in Business Analytics

15 Min Read
Benefits of IoT in Small Business
Internet of Things

Understanding the Tremendous Benefits of IoT for Small Businesses

8 Min Read
cybersecurity tips for data centric businesses
Security

5 Essential Cybersecurity Tips For Data Centric Businesses In 2021

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?