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21 Cards in this Set
- Front
- Back
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what is the purpose of Operational Systems? Give 1 example. |
aka transaction processing systems
process both financial and non-financial transactions
i.e. accounting system |
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What is the purpose of a MIS? When are they used? |
designed to support routine management problems with data from TPS; compare forecasts to actual reports
used for well-defined, structured problems
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What are Accounting Information Systems an example of? |
subset of MIS |
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define DSS |
provide info to mid- and upper-level managers to assist them in managing non-routine problems and long-range planning
-some emphasis on external data |
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What is Data-Driven DSS? Give 2 examples. |
processes large amounts of data to find relationships and patterns
i.e. data warehousing, data mining |
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What is Model-Driven DSS? |
feeds data into a previously constructed model to predict outcomes |
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Define Executive Support Systems |
aka Strategic Support Systems
subset of DSS designed for forecasting and long-range, strategic levels of the organization decisions, non-routine issues
-STRONG emphasis on external data |
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Define Knowledge Work Systems |
facilitate the work activities of professional-level employees by providing day-to-day info and automating routine functions
-usually separate from operational systems but can be integrated |
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Define Office Automation Systems (OAS) |
Knowledge Work Systems, except for clerical-level employees |
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What do ERP systems provide? |
provide transaction processing, management support and decision-making support in an integrated package |
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What are the two main ways in which IT systems are identified? |
1. type of activities the systems support 2. the way in which data is captured and processed |
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What are the characteristics of Flat-file systems? What are the 3 main negatives? |
-used in early IT systems
Negatives: -independent programs and data sets: complicated to share & integrate data -data redundancy -difficulty in cross-functional reporting (combining info from multiple apps into a single report) |
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Is a higher level of integration good? Why? |
YES; the higher the required integration, the less data redundancy |
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What is the goal of Knowledge Management? What outcomes do they seek? |
to ensure that the right info is available at the right time to the right user
specific outcomes: shared intelligence, improved performance, competitive advantage, etc.
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define Knowledge Base |
Database designed for retrieval of knowledge; collects and organizes info and develops relationships among information components |
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define Expert Systems (knowledge-based systems) |
computer programs containing subject-specific knowledge from experts; set of rules to analyze information provided by system user
-recommends a course of action |
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define Data Warehouse |
database designed to archive an organization's operational transactions over a period of years
-includes external data, such as economic indicators and political issues |
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define Data Mart |
specialized version of a data warehouse; contains data pre-configured to meet specific needs |
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define Drill Down & what it is used in |
used in Data Warehouses
summary info broken down into smaller parts |
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define Slicing and Dicing & what it is used in |
used in Data Warehouses
view a single data item in multiple dimensions (i.e. by company, by time period) |
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define Data Mining |
performing statistical analysis and automatically searching for patterns and relationships in large volumes of data |
