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 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
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 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

Admissibility of Big Data is Changing Tactics in Criminal Court Cases
Admissibility of Big Data is Changing Tactics in Criminal Court Cases
Embracing Business Intelligence for a Better Tomorrow
Target variables matter but so do decisions.
The Future of Business Intelligence is collaborative
Collaboration Is Vital to Success [VIDEO]
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

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
Analytics Artificial Intelligence Big Data Exclusive
Flat editorial illustration: The article connects commercial drone capture with integrated software workflows that organize and r
Drone Technology as a Business Investment: Calculating ROI, Costs, and Long-Term Value
Business Intelligence Marketing Software
Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Want More Actionable Information from Your BI? Support Your IT Team’s Need for Data Warehouse Automation
AnalyticsBig DataBusiness IntelligenceData ManagementData QualityData VisualizationData WarehousingDecision ManagementKnowledge ManagementPredictive AnalyticsRisk Management

Want More Actionable Information from Your BI? Support Your IT Team’s Need for Data Warehouse Automation

6 Min Read
The Fallacy of the Data Scientist Shortage
AnalyticsBusiness IntelligenceBusiness RulesCloud ComputingCollaborative DataCommentaryData MiningData WarehousingDecision ManagementHadoopJobsMapReducePredictive AnalyticsR Programming LanguageSentiment AnalyticsStatisticsText AnalyticsUnstructured Data

The Fallacy of the Data Scientist Shortage

8 Min Read
Public CIOs Can Help Attract Tech Incubators
Culture/LeadershipDecision ManagementITJobsKnowledge ManagementWorkforce AnalyticsWorkforce Data

Public CIOs Can Help Attract Tech Incubators

4 Min Read
A Billion Dollar Purchase: Why Google Bought Nest
Decision Management

A Billion Dollar Purchase: Why Google Bought Nest

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
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?