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
    Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
    Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
    11 Min Read
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: More on keeping decisions and processes separate
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 > More on keeping decisions and processes separate
Business IntelligenceCRMData MiningPredictive Analytics

More on keeping decisions and processes separate

JamesTaylor
JamesTaylor
4 Min Read
More on keeping decisions and processes separate
Illustration generated with Qwen Image.
SHARE

Copyright © 2009 James Taylor. Visit the original article at More on keeping decisions and processes separate.

Syndicated from ebizQ

Neeli Basanth posted this in response to my post Here’s how decision management simplifies process management and asked an interesting question:

No doubt the diagram on the right looks much simpler and purely shows the flow. Although it no longer tells the viewer on how the decisions were made.

And this is, at some level, true. In response I would make a couple of points:

More Read

Data Mining Fundamentals: Khabaza’s 9 Laws of Data Mining
Data Mining Fundamentals: Khabaza’s 9 Laws of Data Mining
Major Trends Involving Artificial Intelligence in Retail
3 Tips for Delivering Mobile BI to Your Company
Big Data and the End of Civilization as We Know It
Get Ready For These Six 2020 Business Intelligence Trends
  • While the simple example shows the viewer how the decision is made this “benefit” wears off quickly as the number of branches multiplies. Take a look at this example from my friends at IDS Scheer and the fact that the decision logic is displayed in the diagram no longer seems like a benefit.
  • Even in simpler examples, the business person who defines the decision rules may not be the person who defines the process steps – if risk assessment is part of the decision it could be handled by a risk group while the process itself was handled by a customer service group. In these circumstances a degree of opacity in the decision-making logic may actually help by separating the concerns of the two groups.
  • The pace of change might be quite different between the process and the decision. For example a discount calculation decision might change all the time as different groups are targeted and as competitors respond. None of this changes the order to cash process itself so separating the two isolates change more completely.
  • In a long running process it may be more effective not to commit to the decision making approach when the process is instantiated, instead invoking (say) a rules engine to make the decision when the process reaches the relevant point. Separating the decision logic out makes this easier.
  • Branches are not a great way to display logic. If there were even 10 rules that contributed to the risk it might be easier to understand them if they were displayed as a ruleset in a rules environment rather than as branches. Even with the extra look-up step the developer of the process might reach understanding quicker.
  • Separating the decision logic allows it to be reused. Perhaps this is not the only process that needs to know how high risk an applicant someone is. Embedding the logic for the decision in the process might make the process easier to read but it embeds the logic making reuse hard if not impossible.

At the end of the day the decision logic is not the same as process flow or even process logic and I believe it should be managed separately.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
Analytics Exclusive
Flat editorial illustration: The article surveys AI finance apps that analyze and explain financial information, sometimes take a
10 Financial Apps Empowered by AI: Assistants and Agents
Artificial Intelligence Exclusive Fintech
Flat editorial illustration: The article links specialist ecommerce SEO agency evaluation to joined-up organic and paid search da
Choosing an Ecommerce SEO Agency When Search Data Drives the Decision
Big Data Exclusive
Flat editorial illustration: The article’s core relationship is that restoring a refrigeration system does not establish trustwor
After the Cyberattack, Can You Trust the Machine?
Artificial Intelligence News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

5 Massively Important AI Features In Time Tracking Applications
Artificial Intelligence

5 Massively Important AI Features In Time Tracking Applications

6 Min Read
Analyzing big data with Revolution R Enterprise
AnalyticsData MiningR Programming Language

Analyzing big data with Revolution R Enterprise

3 Min Read
Academy Awards and Analytics-based Performance Management
AnalyticsData VisualizationDecision Management

Academy Awards and Analytics-based Performance Management

4 Min Read
Miss the Right Connections at Your Own Peril
AnalyticsPredictive AnalyticsSocial DataSocial Media Analytics

Miss the Right Connections at Your Own Peril

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.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?