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
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 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
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 […]


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:

More Read

data automation for your business
Data Automation Has Become an Invaluable Part of Boosting Your Business
Is VoIP Offering You Any Real Benefit?
Gartner’s 2009Q1 Magic Quadrant for BI Platforms
AI Helps Businesses Develop Better Marketing Strategies
Find Value in Online/Social Text and Sentiment: Free Report, Conferences

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:

  • Crazy-EPC-Branchings.pngWhile 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.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Dietrich acknowledged that some of what she and her fellow…

2 Min Read

Twitter, Facebook, Customer Service and Surgery

5 Min Read
predictive analtyics
AnalyticsBig DataBusiness IntelligencePredictive Analytics

Predicting Lying and Predicting Dying

5 Min Read

Do Predictive Modelers Need to Know Math?

6 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?