INFORMATION Submitted to Sir mairaaj Bhatti Syed Zaffar Hussain MBA 14-ii Roll# 02 Shaheed Benazir Bhutto University SBA
INFORMATIONSubmitted to Sir mairaaj Bhatti
Syed Zaffar HussainMBA 14-ii
Roll# 02Shaheed Benazir Bhutto University SBA
Office Automation Systems - Examples• Word processing• Desktop publishing• Imaging & Web publishing• Electronic calendars• Email• Audio & video conferencing
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“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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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
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
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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