Dss Vs. Mis

  • June 2020
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MIS vs. DSS Management Information Systems vs. Decision Support Systems

MIS: The Big Picture 





MIS provides information about the performance of an organization Think of entire company (the firm) as a system. An MIS provides management with feedback

MIS: The Big Picture

The Firm Processing Input: Raw Materials, Supplies, Data, etc.

MIS Managers, VPs, CEO

Output: Products, Services, Information etc.

MIS: Feedback for a Firm  

Q: How are we doing? A: Look at the report from the MIS 

 



Generic reports: Sales, Orders, Schedules, etc. Periodic: Daily, Weekly, Quarterly, etc. Pre-specified reports

Obviously, such reports are useful for making good decisions.

How is a DSS different? MIS DSS  Periodic reports  Special reports that may only be generated once 

Pre-specified, generic reports



May not know what kind of report to generate until the problem surfaces; specialized reports.

MIS vs. DSS: Big Differences 

In a DSS, a manager generates the report through an interactive interface 



Flexible & Adaptable reports

DSS Reporting is produced through analytical modeling, not just computing an average, or plotting a graph. 

Business Models are programmed into a DSS

Types of Decisions Operational Unstructured

Tactical

Cash Re-engineering a Management process

Strategic New e-business initiatives Company re-organization

Semistructured

Production Scheduling

Structured Payroll

Employee Performance Mergers Evaluation Site Location Capital Budgeting

MIS vs. DSS: Another Difference

TPS

DSS

Operational Management Decisions

Tactical Management Decisions

MIS

Strategic Management Decisions

EIS

Strategic Management 

The People  



Board of Directors Chief Executive Officer President



Decisions   

Develop Overall Goals Long-term Planning Determine Direction   

Political Economic Competitive

Tactical Management 

People 



Business Unit Managers Vice-President to Middle-Manager



Decisions 

    

short-medium range planning schedules budgets policies procedures resource allocation

Operational Management 

People   

Middle-Managers to Supervisors Self-directed teams



Decisions      

short-range planning production schedules day-to-day decisions use of resources enforce polices follow procedures

Decision Structure

Information Characteristics

Unstructured

Strategic Management

Ad Hoc Unscheduled Summarized Infrequent Forward Looking External Wide Scope

Semi-structured Tactical Management

Structured

Operational Management

Pre-specified Scheduled Detailed Frequent Historical Internal Narrow Focus

MIS vs. DSS MIS

DSS

Support

Info about performance

Info and modeling to analyze problems

Report Form

Periodic reports or On Demand Pre-specified Fixed format

Interactive Inquiries

Processing Extract and manipulate data

Analytical modeling of data

Format

Flexible and Adaptable

What is Analytical Modeling? Examples  Supply Chain Modeling – Simulate what would happen if you reduced your inventory?   

How many items would go out of stock? How much would you save? Is reducing inventory a good thing?

More Modeling Price Point Modeling – model what would happen if you lowered or raised the price of your product  uses information about  



your customers income and your competitors prices

uses well-know supply and demand models

Typical MIS Reporting 

Periodic Scheduled Reports 



Exception Reports 



Example: Monthly Financial Statements Example: List of items out of stock

These reports contain information but they might not directly help you determine the best decision to make.

More MIS Reports 

Demand Reports and Responses 



Push Reporting  



Available whenever a manager needs them, updated in real-time. Information is pushed to a managers computer Example: Report is pushed every time a supplier is late with a shipment

MIS Reporting is all about giving managers feedback and doesn’t necessarily help directly with decision making.

How is DSS reporting different? 



Modeling helps predict the outcome of a decision. This directly helps you make a decision 



Possibly an optimal decision

With a DSS you can explore possible alternatives.

Analytical Modeling is the key Type of Modeling What-if analysis

Example

Sensitivity analysis Goal-seeking analysis

Let’s cut advertising by 1% repeatedly so we can see its relationship to sales Let’s try increasing advertising until sales reach $1 million

Optimization analysis

What level of advertising maximizes our overall profit?

What if we cut advertising by 10% what would happen to sales?

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