Question

Describe the DSS taxonomy?

Answer 1

Decision Support System (DSS)

" A Decision Support System is an informational system that assists a company or an organization in performing decision making activities in planning, operations and management levels of that company or organization."

As asked in the question, taxonomies of DSS are as following:

Haettenschwiler classifies DSS on the base of the relationship with the user as following:

• Passive DSS
• Active DSS
• Cooperative DSS

Passive DSS: This is the system which supports the process of decision making but could not be able to provide explicit decision solutions.

Active DSS: This DSS is the system that can bring out the explicit decision suggestions or solutions.

Cooperative DSS: This DSS is the system that allows an iterative process between human and system in order to get the consolidated solution and the decision suggestions provided by the system can be modified, refined or completed by the decision maker before sending them back to the system for validation. Decision suggestions are again improved, completed and refined by the system and the system sends them back for validation.

D. Power classifies DSS on the basis of mode of assistance as following:

• Communication-driven DSS
• Data-driven DSS
• Document-driven DSS
• Knowledge-driven DSS
• Model-driven DSS

Communication-driven DSS: This DSS facilitates cooperation, supporting when more people are working on a shared task or project. Examples are Google Docs and Microsoft SharePoint Workspace.

Data-driven DSS: This DSS focuses on the access to and manipulation of a time series of internal company data and sometimes external data.

Document-driven DSS: Unstructured information is managed, retrieved and manipulated in various electronic formats by Document-driven DSS.

Knowledge-driven DSS: Knowledge-driven DSS facilitates problem-solving expertise which can be stored as facts, rules, procedures or structures like interactive decision trees and flowcharts.

Model-driven DSS: While analysing a situation, decision makers can use model-driven dss which uses data and parameters given by users. Example of an open source model-driven dss generator is Dicodess.

Power classifies DSS on the basis of scope as following:

• Enterprise-wide DSS
• Desktop DSS

Enterprise-wide DSS: This DSS is connected or linked to large data warehouses and assists many managers in a company or organization.

Desktop DSS: This DSS is also called single-user DSS and it is a system which runs on an individual manager's desktop or PC.

Alter classifies DSS as following:

• File Drawer systems: This provide access to data items.
• Data Analysis systems: These support the manipulation of data by computerized tools for specific tasks or by more general tools and operators.
• Analysis Information systems: These provide access to a series of decision support databases and small models.
• Accounting and financial model-based DSS: These calculate the potential consequences of possible actions like profitability of a new product.
• Representational model-based DSS: On the basis of simulation models, these DSS estimate the consequences of actions. Examples are market response models, risk analysis models etc.
• Optimization model-based DSS: In order to support decision making, these DSS give an optimal solution which is consistent with a series of constraints. Examples are scheduling systems, resource allocation etc.
• Suggestion DSS: These are based on logic models and perform logical processing which leads to a specific suggested decision for a structured task. Examples are insurance renewal rate calculation, credit scoring etc.

So, these are the taxonomies of DSS which are used to support decision making process.

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