Help
Options
Didn't know it?
click below
click below
Knew it?
click below
click below
Don't Know
Remaining cards (0)
Know
retry
shuffle
restart
0:00
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
DAC1 Comp 5
WGU DAC1 Information Systems Management Competency 5
| Term | Definition |
|---|---|
| analytics | the science of fact-based decision making |
| operational level | employees develop, control, and maintain core business activities required to run the day-to-day operations |
| structured decisions | involves situations where established processes offer potential solutions |
| managerial level | employees are continuously evaluating company operations to hone the firm's abilities to identify, adapt to, and leverage change |
| semistructured decisions | occurs in situations in which a few established processes help to evaluate potential solutions, but not enough to lead to a definite recommended decision |
| strategic level | managers develop overall business strategies, goals, and objectives as part of the company's strategic plan |
| unstructured decisions | occurs in situations in which no procedures or rules exist to guide decision makers toward the correct choice |
| model | a simplified representation or abstraction of reality |
| online transaction processing (OLTP) | the capturing of transaction and event information using technology to (1) process the information according to defined business rules, (2) store the information, (3) update existing information to reflect the new information |
| transaction processing system (TPS) | the basic business system that serves the operational level (analysts) in an organization |
| source document | describes the basic transaction data such as its date, purpose, and amount that includes cash receipts, canceled checks, invoices, customer refunds, employee time sheet, etc. |
| online analytical process (OLAP) | the manipulation of information to create business intelligence in support of strategic decision making |
| decision support system (DSS) | models information to support managers and business professionals during the decision-making process |
| what-if analysis | checks the impact of a change in an assumption on the proposed solution |
| sensitivity analysis | the study of the impact that changes in one (or more) parts of the model have on other parts of the model |
| goal-seeking analysis | finds the inputs necessary to achieve a goal such as a desired level of output |
| optimization analysis | an extension of goal-seeking analysis, finds the optimum value for a target variable by repeatedly changing other variables, subject to specified constraints |
| executive information system (EIS) | a specialized DSS that supports senior-level executive and unstructured, long-term, non-routine decisions requiring judgement, evaluation, and insight |
| granularity | the level of detail in the model or the decision-making process |
| digital dashboard | integrates information from multiple components and tailors the information to individual preferences |
| consolidation | involves the aggregation of information and features simple roll-ups to complex groupings of interrelated information |
| drill-down | enables users to get details, and details of details, of information |
| slice-and-dice | the ability to look at information from different perspectives |
| artificial intelligence (AI) | simulates human intelligence such as the ability to reason and learn |
| intelligent system | various commercial applications of artificial intelligence |
| expert systems, neural networks, genetic algorithms, intelligent agents, virtual realities | Examples of Artificial Intelligence |
| expert systems | computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems; example of artificial intelligence |
| neural network / artificial neural network | a category of AI that attempts to emulate the way the human brain works; example of artificial intelligence |
| fuzzy logic | a mathematical method of handling imprecise or subjective information |
| genetic algorithm | an AI system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem; example of artificial intelligence |
| mutation | the process within a genetic algorithm of randomly trying combinations and evaluating the success (or failure) of the outcome |
| intelligent agent | a special-purpose knowledge-based information system that accomplishes specific tasks on behalf of its users; example of artificial intelligence |
| shopping bot | software that will search several retailer websites and provide a comparison of each retailer's offerings including price and availbility |
| virtual reality | a computer-simulated environment that can be a simulation of the real word or an imaginary world; example of artificial intelligence |
| augmented reality | the viewing of the physical world with computer-generated layers of information added to it |
Created by:
csmi384
Popular Business sets