Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 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
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 reposit…


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.

More Read

3d,concrete,printing,(3dcp).,cement,printed,objects,from,building,printer
AI Technology Leads to Breakthroughs in 3D Printed Concrete
Could these be great days for data miners?
Business Rules vs Programming
Risk by risk – a decision-centric approach to risk management
Five Data Mining Techniques That Help Create Business Value


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic
Ai agents
AI Agent Trends Shaping Data-Driven Businesses
Artificial Intelligence Exclusive Infographic
Why Businesses Are Using Data to Rethink Office Operations
Why Businesses Are Using Data to Rethink Office Operations
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Top 10 mistakes on data mining – on YouTube!

2 Min Read

How to Score 300,000,000 Customer Records for $3

5 Min Read

Smarter (and Social) Science Spacehack » data…

1 Min Read

Business of Carbon Management from Special Reports

1 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?