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: Using business rules to close the SOA knowledge gap
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 > CRM > Using business rules to close the SOA knowledge gap
Business IntelligenceCRMData MiningPredictive Analytics

Using business rules to close the SOA knowledge gap

JamesTaylor
JamesTaylor
3 Min Read
Using business rules to close the SOA knowledge gap
Illustration generated with Qwen Image.
SHARE

Dan Rosanova wrote a piece on The SOA Knowledge Gap that made me think (again) about the value of business rules as a way to manage requirements. Dan points out that

“A unique SOA challenge is its need to bring together SMEs from across the enterprise.”

Now this is true but I don’t believe that better management of requirements is the answer. In fact what is needed is a way to turn what the SMEs know into something that can be managed in a repository and used to power systems directly. Working with SMEs to create sets of business rules to represent their know-how not only allows this knowledge to be stored in an executable format – reducing the likelihood of implementation error and speeding deployment and maintenance – it also allows each SME or SME group to manage their own rules. A modern Business Rules Management System (BRMS) will allow different users to have different access to rule sets, allowing each set of rules to be managed by those who know them best or those who “own” them. The BRMS can then be used to package up the relevant rules – typically many sets from many SMEs – into a decision service that can be deployed into a service-oriented architecture.Because the SME’s can edit the rules directly, business agility is increased because the time from the SME realizing that a change is needed to the time when that change is deployed can be cut dramatically using the rule management features of a typical BRMS.Dan’s comments about how to gather the know-how from SMEs are all good, but gathering their know how as requirements and not rules is going to limit the good it can do. I have blogged a lot on this topic but check out these two posts on the difference between requirements and Requirements and on how to fit business rules into a software development lifecycle.

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

5 Tips to Stay Competitive as AI Technology Evolves
Artificial Intelligence

5 Tips to Stay Competitive as AI Technology Evolves

5 Min Read
Intelligence Input = Sales Output
AnalyticsBusiness IntelligenceData VisualizationData WarehousingPredictive Analytics

Intelligence Input = Sales Output

6 Min Read
SAP's New Fraud Management Analytical Application
AnalyticsBest PracticesBusiness IntelligenceCulture/LeadershipData ManagementInside CompaniesITPrivacySecuritySoftware

SAP’s New Fraud Management Analytical Application

12 Min Read
Editing Guide for AI-Driven YouTube Video Creators
Artificial Intelligence

Editing Guide for AI-Driven YouTube Video Creators

12 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?