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
    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
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: From Decision Support Systems to Decision Management Systems
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 > Decision Management > From Decision Support Systems to Decision Management Systems
Decision Management

From Decision Support Systems to Decision Management Systems

JamesTaylor
JamesTaylor
6 Min Read
From Decision Support Systems to Decision Management Systems
Illustration generated with FLUX.2 [Klein 9B] via local ComfyUI.
SHARE

I am often asked about the difference between decision support systems and decision management systems. This is an interesting topic and one that is central to the value proposition of decision management systems so I thought I would revisit it.

All decisions involve a choice, a selection of a course of action from a set of alternatives and generally result in an action being taken, not just knowledge being added to what’s known. Decision Management Systems, unlike Decision Support Systems, are focused on taking or recommending this action. Decision Support Systems are focused, obviously, on helping (supporting) someone make the decision, not necessarily on the actions to be taken. This distinction is critical to the difference between the two classes of systems. If you want or need a system to make a decision (because there is no human present as in a web site or kiosk, because there is no time for a human intervention or just because the people available don’t have the skills to make a good decision), you need a Decision Management System. If you have the option, though, to do either it is worth considering 5 additional ways in which the two kinds of system differ:

  • Defined and known actions
    In general the available actions, the range of possible actions from which an action is selected, is implicit in a Decision Support System, with the user having an idea of the range of options even though this is not generally coded into the system. In contrast a Decision Management System has an explicit, defined, known set of possible actions coded into it. This means that the outcome is more predictable, more likely to be within expected bounds, critical for operational decisions.
  • Expertise and judgment
    While both Decision Support Systems and Decision Management Systems apply expertise and judgment, Decision Support Systems rely on the user to have experience and apply their own judgment. This means that decision support works better for strategic and management/control decisions where the user is likely to have some significant experience and that decision management is a better approach for operational decisions.
  • Policies and regulation
    In a Decision Support System the user is generally responsible for reading, understanding and applying the policies and regulations relevant to the decision. In contrast a Decision Management System uses business rules or other decision logic management capabilities to embed the relevant policies and regulations and so ensure the system is compliant with them. When compliance is critical, then, a Decision Management System is going to be more reliable.
  • Data analysis
    In a Decision Support System information is presented to a user so they can analyze it. Increasingly this means using advanced visualization and other approaches to both summarize more data and make it more obvious what patterns are in the data. In contrast a Decision Management System cannot rely on visuals but must instead apply analytics programmatically. This means using the output of data mining and predictive analytic techniques, for instance. What this means is that while a Decision Support System might help a user see the likely futures implicit in their data and so act appropriately, a Decision Management System will make any decision in the context of mathematical probabilities.
  • Repeatability
    In the final analysis a Decision Support System is not designed to produce a repeatable approach to decisions, at least not a completely repeatable one. The user has some degree of freedom they can apply to each decision, giving more flexibility but at the cost of less consistency and repeatability. A Decision Management System always applies the same logic, uses the same analysis techniques and so makes a repeatable decision.

Of course many scenarios involve a blended approach, with a Decision Management System rapidly determining a small set of possible actions, taking the best if this is clear and presenting the set of actions in the context of a Decision Support System for a user to resolve tricky situations for instance.

In find the graphic on the right to be an effective tool when it comes to deciding on the right balance between the two systems. In general the more strategic a decision and the less often it must be made, the more value a Decision Support System offers. For more repeatable, operational decisions the value shifts inexorably towards Decision Management Systems.

More Read

Learn More About Decision Management Systems Platform Technologies
Learn More About Decision Management Systems Platform Technologies
Why Data Isn’t The Only Factor Guiding Your Management Decisions
Decision Management Systems drive the second economy
New White Paper: Decisions at the Heart of Your Processes
Big Data Without Integration Is Broken
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Forecasting the Stock Market: Lessons Learned

5 Min Read
Benefits of Embedded Business Intelligence
AnalyticsBusiness IntelligenceData VisualizationDecision ManagementKnowledge ManagementSoftware

Benefits of Embedded Business Intelligence

15 Min Read
Big Data is Critical to the DoD Science and Technology Investment Agenda
AnalyticsData MiningData QualityDecision ManagementPolicy and Governance

Big Data is Critical to the DoD Science and Technology Investment Agenda

3 Min Read

Patient-Centered Data-Driven Care: Carolina Advanced Health

0 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
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?