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: Flexible yet permanent – the power of business rules
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 > Flexible yet permanent – the power of business rules
Business Intelligence

Flexible yet permanent – the power of business rules

JamesTaylor
JamesTaylor
5 Min Read
SHARE

Sapphire, SAP’s big show, is on this week and I have been following the twitter stream (I was invited but couldn’t make it). Merv Adrian (@merv) had a sequence of posts about some SAP customers (Shell and Unilever) that really struck me:

  • Shell … “Once you pour electronic concrete, it’s hard to get out.”
  • Unilever: “There is no such thing as a temporary solution. Don’t put in things you don’t want to keep.”
  • Shell – you MUST combine IT and functional people across different systems

To me these are a clarion call for the use of business rules and decision management. Let’s think about these comments.

Big systems implementations tend to be “electronic concrete”. In particular you can’t easily change the logic in those systems. You can add process management across and within them, but many business processes are actually pretty stable – it is the decisions within them that are constantly changing. For instance, your order to cash process does not change but your pricing decision does. Identifying the decisions in your applications and processes explicitly and then automating them using business rules …

More Read

unstructured data
Managing Unstructured Data: The Next BI Point of Emphasis
Decision Automation: How To Augment Predictive Analytics with Human Intelligence
Data Collection: Get All Your Customers to Sign Up for Your Digital Campaigns
Editing Guide for AI-Driven YouTube Video Creators
Data Mining Book Review: The Value of Business Analytics

Copyright © 2010 http://jtonedm.com James Taylor

Syndicated from ebizQ

Sapphire, SAP’s big show, is on this week and I have been following the twitter stream (I was invited but couldn’t make it). Merv Adrian (@merv) had a sequence of posts about some SAP customers (Shell and Unilever) that really struck me:

  • Shell … “Once you pour electronic concrete, it’s hard to get out.”
  • Unilever: “There is no such thing as a temporary solution. Don’t put in things you don’t want to keep.”
  • Shell – you MUST combine IT and functional people across different systems

To me these are a clarion call for the use of business rules and decision management. Let’s think about these comments.

Big systems implementations tend to be “electronic concrete”. In particular you can’t easily change the logic in those systems. You can add process management across and within them, but many business processes are actually pretty stable – it is the decisions within them that are constantly changing. For instance, your order to cash process does not change but your pricing decision does. Identifying the decisions in your applications and processes explicitly and then automating them using business rules allows you to develop a system that is both robust and flexible.

IT systems are notorious for lasting longer than expected. They rapidly evolve from “temporary solutions” to permanent ones. Those who think business rules are overkill (see this whole thread, for instance) often tell me that “this code isn’t going to change” and “it will always be easy for someone to change this code” despite decades of evidence that this is not the case. Instead of assuming it won’t change or that making changes will be easy, companies would do better assuming that they will need to change the logic in their systems more often than they think and that the people making the changes won’t be those who wrote it originally. The ease with which business rules can be changed and re-deployed and the greater clarity of business rules syntax make this work. Assuming that your systems will be permanent, and making sure that critical flex points in the system are easy to change (because they are externalized as rules-based decision services) will ensure that your have permanence with flexibility.

Finally, the use of business rules in this way helps improve business and IT collaboration. Because both technical and business people can read and understand the business rules, there is less confusion and more collaboration. It does not matter if IT still own the rules, if the business people edit the rules themselves or if business analysts take point – rules-based decisions deliver effective IT/business collaboration.

Externalizing your decisions and using business rules to manage them gives you systems that are flexible yet permanent. I wrote a white paper on this topic for SAP recently, Business Rules and Decisioning for Process Experts. Use business rules, focus on decisions and get concrete you can change!

Link to original post

TAGGED:business rulesdecision management
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

RuleSpeak – some useful guidelines for writing rules

1 Min Read

Some thoughts on rules, decisions, agility and more

7 Min Read

Scorecards in PMML: A Primer

8 Min Read

Risk by risk – a decision-centric approach to risk management

4 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
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?