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
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Interesing debate on business process and decisions
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 > Interesing debate on business process and decisions
Business IntelligenceCRMData MiningPredictive Analytics

Interesing debate on business process and decisions

JamesTaylor
JamesTaylor
5 Min Read
SHARE

Copyright © 2009 James Taylor. Visit the original article at Interesing debate on business process and decisions.Syndicated from ebizQ
I have posted a couple of times recently on the interaction of decisions and processes – Another way decision management and process interact, More on keeping decisions and processes separate and Here’s how decision management simplifies process […]


Copyright © 2009 James Taylor. Visit the original article at Interesing debate on business process and decisions.

Syndicated from ebizQ

I have posted a couple of times recently on the interaction of decisions and processes – Another way decision management and process interact, More on keeping decisions and processes separate and Here’s how decision management simplifies process management. This last one prompted Stephen Zisk (of Pega) and Dan Selman (of ILOG) to respond.

More Read

ai in marketing with 3D rendering
Marketers Use AI to Take Advantage of 3D Rendering
Data Management for Better Business in the New Age
Forecasting: It’s What’s Hot in Supply Chain Analytics
Yellowfin’s Year in Review: Top 9 Business Intelligence developments of 2011
Considering Embedded BI

The good news is that we are all in agreement on the silliness of using BPMN branches to manage decisions and on the value of a separation of concerns between process and decision. Then it gets interesting:

First the issue of changes to data. Stephen makes the point that

“if someone needs to add a piece of data to the calculation…you need to change three things to handle the new data: the interface to the decision service, the process activity to pass in the data, and the decision rule itself.”

and contrasts this with a merged process/rule environment such as Pega’s. Dan takes issue with this arguing that

“Services have well defined interfaces…If you share amorphous state between a process and a set of rules then you explicitly tie your decision service to the process. This is an anti-pattern IMO”

Me, I think that Stephen has a point but that it does not obviate the value of a clear division. After all, the discount calculation might be made in several places and so any change to it has a greater impact than just this one process. If I tie it into this process then I don’t necessarily make it easier to change if there are other processes using it. I can and should refactor the decision service so that it works with or without the new data element (if I can) and then change each process as and when it makes sense to pass the new data. So, yes it takes three changes but I am not sure that (in the general case) a merged process/rule environment makes a difference to that.

Stephen then goes on to address the second point:

“In your “long-running process” example, what if you need to make a decision based on things that may happen at different stages or even external to the case?…If the sources have different costs and response times, having the decision rule pick which sources it needs to best make the decision would save time and money in most cases. But if you have a separate decision engine, you either have to do the calls for external data inside the decision engine or you have to introduce convoluted processes inside the BPM to support the backward chaining. Resolving the rule in the same “space” as the process engine fixes the problem.”

Dan does not see what he’s getting at here but I think I do. I agree that decision services need to be able to reach out and collect additional data required to make a decision and that limited backward chaining support is ideal for this. I am not fond of decision services that only work with the data passed in for this reason. And I can see how a process/rule engine has more options for this kind of data access. I am not sure it changes the basic dynamic, however, and I still believe a formal separation of the decision from the process (even if you use the same platform for both) is the way to go.

There are lots of examples where processes can be made simpler and more effective using a rules-based process definition (something at which Pega excels) but I don’t think this means that decision services are not a good idea even so.

Love the debate and, like Dan, I agree with Neeli that we need better visualization and refactoring tools between processes and rules.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Big Bad Boucher Bill, and Its Possible Exceptions

7 Min Read

How the Internet of Everything Is Changing Consumer Behavior

2 Min Read
collect and transform data into business
AnalyticsBig DataBusiness IntelligenceSecurity

How to Collect and Transform Data into Value for Your Business

8 Min Read

10 Guiding Principles for Better Business Intelligence

3 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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?