IS 3003 Ch. 10

Descripción

Fichas sobre IS 3003 Ch. 10, creado por shoaib.z.hasan el 05/05/2013.
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Fichas por shoaib.z.hasan, actualizado hace más de 1 año
shoaib.z.hasan
Creado por shoaib.z.hasan hace casi 11 años
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Resumen del Recurso

Pregunta Respuesta
ESS Characteristics Tailored to individual Easy to use Provide data related to org Sophisticated graphics Future-oriented Support for unstructured problems Support consolidation, drill down, slice & dice capabilities
Digital Dashboard Integrates info from multiple sources & present in unified, understandable form
ESS Capabilities Consolidation- aggregation of info & simple roll-ups to complex groupings of interrelated info Drill-down- details of details of info Slice & dice- look at info from diff. perspectives
Group-Decision-Support Systems (GDSS) Interactive, computer-based systems facilitating solving of unstructured problems by set of decision makers Used in conference rooms Promote collaborative atmosphere by guaranteeing contributor's anonymity Support increased meeting sizes with increased productivity
Digital Dashboard Integrates info from multiple sources & presents in unified, understandable format, charts & graphs, key performance indicators & critical measurements to support executive, up-to-minute snapshots of info & assist executive in trends & potential problems
GDSS (Group Decision-Support Systems) Interactive system that facilitates solving of unstructured problems by set of decision makers, used in conference rooms, promote collaborative atmosphere with anonymity, support increased meeting sizes with increased productivity
Decision type Structured Repetitive, routine, easy to automate, involve definite procedure for handling, "programmable" decisions
Semi-structured Not as well defined, only part of problem has clear-cut answer provided by accepted procedure, include human or subjective element
Unstructured Novel, unique, important, non-routine; no well-understood or agreed-upon procedure; decision maker must provide judgment, experience, intuition to solve
Decision characteristics Unstructured- senior mgt Semi-structured- middle mgt Structured- operational mgt
Simon's decision making process 1. Intelligence- understanding problem 2. Design- explore alts. 3. Choice- choose among alts. 4. Implementation- make chose alt work & monitor how well
Quality dimensions of decisions Accuracy Comprehensiveness Fairness Speed Coherence Due process
Business intelligence Applications & tech to help users make better decisions 1. Data from biz environment 2. Biz intelligence infrastructure 3. Biz analytics toolset 4. Managerial users & methods 5. Delivery platform (MSS, DSS, ESS) 6. User interface
Mgt Information Systems (MIS) Help managers monitor & control biz by providing info on firm's performance Regularly scheduled reports based on data from TPS Exception reports- when situation is unusual or requires MGT action Trigger points- parameters or criteria for initiating exception report
Decisions Support System (DSS) Interactive info system combining data & sophisticated mathematical & statistical models for complex analysis Support semi and unstructured decision making Support at all org levels Incorporate human element Use internal & external data
Model-driven DSS Model of situation/problem developed, various input factors changed & output changes measured
Data-driven DSS Use OLAP & data mining to analyze large pools of data in major corporate systems
Components of DSS DSS database- collection of current/historical data from apps or groups DSS user interface- permits easy interaction between users of DSS and software program and analysis tools
DSS: Model Driven Analysis Model- simplified representation of reality that illustrates components of phenomenon Statistical models help establish relationships Optimization models- determine optimal resource allocation to maximize/minimize specified variables Forecasting models- used to forecast future performance
DSS: Model Driven Analysis Continued Sensitivity analysis model asks "what-if" repeatedly to determine impact on outcome of changes Makes hypothetical change to data and observes "what will happen" Goal seeking analysis- setting target value to achieve and determining how to get it
Data Driven DSS Spreadsheet tables answer multiple dimensions of questions Pivot table- displays 2+ dimensions of data in convenient format
Data Visualization Tools Present data in graphical form to help users see patterns & relationships in large quantities of data
Geographic Information Systems (GIS) Use data visualization tech to analyze & display data in form of digitized maps Support decisions that require knowledge about geographic distribution of people/resources
Executive Support Systems (ESS) Help senior managers address strategic issues & long-term trends Address non-routine decision making Draw summarized info from MIS, DSS & data from external sources Use portal with web interface to present content
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