We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Book Review – Agile Business Rules Development
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Business Rules > Book Review – Agile Business Rules Development
Book ReviewBusiness RulesDecision Management

Book Review – Agile Business Rules Development

JamesTaylor
JamesTaylor
6 Min Read
Book Review – Agile Business Rules Development
Illustrative image generated with OpenAI gpt-image-1.
SHARE

Decision Management can only succeed if the business rules for decisions can be effectively managed. Effective management must involve both business and IT organizations. There must be alignment and collaboration if the business rules are to be managed correctly. Indeed empowering this collaboration is the primary value of a business rules management system. Yet most systems development methodologies are predicated on a separation between the business and IT. These methodologies create artifacts and manage processes to try and minimize this separation but they take it for granted. To successfully adopt business rules and manage decisions an agile systems development approach specifically for business rules is required.

Some months back Jerome Boyer and Hafedh Mili published a great book on Agile Business Rule Development: Process, Architecture, and JRules Examples. ABRD is unique in that it is an agile methodology that promotes iteration and the early use of a business rules management system. Focusing on incremental and iterative development it has been specifically developed to handle new artifacts like business rules, decision points and more. It applies the key tenets of the agile manifesto and takes advantage of the power of business rules management systems to deliver on those tenets. It shows how using a shared business rules definition allows you to value “Individuals and interactions over processes and tools”. It prototypes early using these shared rule definitions to ensure “Working software over comprehensive documentation” It leverages the ability of non-technical business people to understand and even edit business rules to deliver “Customer collaboration over contract negotiation”. Finally it relies on the faster update and deployment cycles of a business rules management system to ensure projects put “Responding to change over following a plan”.

The Agile Business Rules Development (ABRD) methodology at the heart of the book was donated to the open source community several years ago by ILOG, now part of IBM. I was immediately impressed with both ABRD and the Eclipse Process Framework in which it was presented. I have worked on many decision management system projects that used business rules and business rules management systems and I have a background in methodology. ABRD is a well thought out methodology, embodying many best practices for business rules-based development that could help organizations build Decision Management Systems and adopt business rules management systems.

Some companies make the mistake of assuming that decision management and business rules can be adopted by an IT department without changing existing governance and development approaches. Others assume that they can handle business rules as part of modeling and managing business processes. In fact, new approaches and techniques are required. An agile approach combined with the use of business rules management systems for managing the logic in decision-making components has allowed the companies I work with to empower business users and analysts to collaborate effectively with their IT teams and even to control some of the logic themselves. Effective management of the decision logic has improved decision accuracy, compliance and consistency.

More Read

Run IT as a responsive business, beat the cloud vendors at their own game
Run IT as a responsive business, beat the cloud vendors at their own game
Are Your Systems Just Interfaces to a Data Structure?
Digital data explosion highlights need for new-age Database and Business Intelligence technologies
BI: 5 Tips to Remember When Training New Hires Virtually
The Higher You Are, the Less You Know

Companies that adopt a business rules management system and use it to manage decisions are more agile, better aligned and have systems and processes that are just plain smarter. ABRD has many important characteristics for such an organization: It treats business rules, and decisions, as separate artifacts; It links these artifacts to your business motivation and shows how they can be packaged up to deliver decision services, coherent decision-making components in a Service-Oriented Architecture; And it focuses on using this technology to get a core component up and running quickly so that it can be involved and continuously improved as you learn and as your business changes.

With this book, Jerome and Hafedh have written more than just a complete guide to ABRD. This book provides an introduction to business rules and to the ABRD methodology. It discusses key ABRD topics like rule harvesting (from elicitation to analysis) and rule prototyping and design. It outlines key design patterns and covers critical issues in everything from rule authoring to deployment and testing. Rule performance, rule governance and detailed descriptions of how to do all this with IBM’s business rules management system round out a thorough and complete book.

If you plan to use business rules to extend and manage the decisions in your operational environment, something I highly recommend, this book will show you how to use an agile approach to do so. You can buy it here.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive
Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the contrast between fragmented inherited data infrastructure (wh
Data Stack Consolidation as a Data Quality and Governance Strategy for Mid-Market Teams
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Predictive Analytic Strategies to Out-Predict the Competition
AnalyticsBig DataDecision ManagementModelingPredictive Analytics

Predictive Analytic Strategies to Out-Predict the Competition

6 Min Read
Universal Decision Engine - How so?
Business IntelligenceDecision Management

Universal Decision Engine – How so?

4 Min Read
Business Analytics – Opposition or Proposition?
AnalyticsDecision ManagementPredictive Analytics

Business Analytics – Opposition or Proposition?

4 Min Read
Game Changers
AnalyticsBusiness IntelligenceData MiningDecision ManagementMarket Research

Game Changers

2 Min Read

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

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?