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INFORMATION Submitted to Sir mairaaj Bhatti Syed Zaffar Hussain MBA 14-ii Roll# 02 Shaheed Benazir Bhutto University SBA
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System Information

Apr 13, 2017

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Page 1: System Information

INFORMATIONSubmitted to Sir mairaaj Bhatti

Syed Zaffar HussainMBA 14-ii

Roll# 02Shaheed Benazir Bhutto University SBA

Page 2: System Information

Office Automation Systems - Examples• Word processing• Desktop publishing• Imaging & Web publishing• Electronic calendars• Email• Audio & video conferencing

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Page 3: System Information

“An integrated man-machine system for providing information to support the operations, management and decision making functions in an organization.”

Prof. Gordon DavisUniversity of

Minnesota.

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Page 4: System Information

Characteristics of DSS

• Criteria for designing models and systems to support management decisions:

• Robustness• Ease of control• Simplicity• Completeness of relevant detail

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Definition of DSS

Decision Support System is defined as a system used to support managerial decisions. Usually DSS involves the analysis of many units of data in a heuristic fashion. As a rule, DSS processing does not involve the update of data. 5

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Heuristic

• Heuristic is a particular technique of directing one’s attention in learning, discovery or problem solving.

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Functionalities of MIS & DSSMIS DSS

1 Provides information on monitoring and controlling the business.

Helps in non routine decision making.

2 Fixed and regular reports are generated from data kept in TPS.

Users are not linked with the structured information flows.

3 Report formats are predefined. Greater emphasis on models, display graphics & ad hoc queries.

4 User is part of the system. DSS is a small part of users’ actions.

5 Controlled by IT Department. Directly used by middle level managers

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Model Driven DSS

Model driven DSS uses following techniquesWhat-If analysisAttempts to check the impact of a change in the assumptions (input data) on the proposed solutionGoal Seek AnalysisAttempts to find the value of the inputs necessary to achieve a desired level of output. Uses “backward” solution approach. 8

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Data Driven DSS

• Data driven DSS uses Techniques like • Online analytical processing, and• Data mining

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Components of DSSThere are two major components• DSS data base – is a collection of current and

historical data from internal external sources. It can be a massive data warehouse.

• Decision Support Software system – is the set of software tools used for data analysis.• Online analytical processing (OLAP) tools• Data mining tools• Models

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Data Warehouse

– A data warehouse is a logical collection of information.

– It is a record of an enterprise's past transactional and operational information, stored in a database designed to favour efficient data analysis and reporting.

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Data Mart

– Data warehouses can become enormous with hundreds of gigabytes of transactions. As a result, subsets, known as "data marts," are often created for just one department or product line.

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