Karteikarten
CMIS 351 Lesson 5 Decision Making and Intelligence
Karten in diesem Stapel (7)
- 1Decision making challenges1. concept of rationality is hard to define
2. good outcomes result from irrational processes; bad outcomes result from good processes
3. limit in cognitive capabilities
4. uncertainty and complexity
5. info. overload
6. data quality - 2OLTP vs OLAPOnline Transaction Processing (OLTP):
-collects data electronically and process transaction online
-backbone of all functional, cross-functional and inter-organizational systems in organization
-provides raw info about transactions and status to support decision-making
Online Analytic Processing (OLAP):
-focus on making OLTP collected data useful for decision making
-provides ability to sum, count, average, and perform other simple arithmetic operations on groups of data
-report has measures, or facts and dimensions - 3What is a data resource challenge?-data are collected in OLTP but are not used to improve decision making
- 4What is a business intelligence system? How do they provide competitive advantage?business intelligence (BI) system: provides info for improving decision making
-group decision support systems: reduce biases inherent in group discussion and option evaluation
-reporting systems: provide relevant, accurate, and timely info to right person
-data-mining systems: discover patterns and relationships in data to predict future outcomes
-knowledge management systems: publish employee and others' knowledge; create value from existing intellectual capital; foster innovation, improve customer service, increase organizational responsiveness, and reduce costs
-expert systems: encode saving, and processing expert knowledge - 5What are the purpose and components of a data warehouse?Purpose:
extract and clean data from operational systems and other sources
Components:
-operational databases
-other internal data
-external data
-data extraction/cleaning/preparation programs
-data warehouse metadata
-data warehouse database
-data-warehouse DBMS
-business intelligence tools - 6What is a data mart and how is it different than a data warehouse?-database that prepares, stores, and manages data for reporting and data mining for specific business functions
-created to address particular needs
-smaller than data warehouse
-address particular component of function area of business
-users may not have data management expertise - 7Types of data-mining applications-unsupervised data mining: analysts do not create model or hypothesis before running analysis
*cluster analysis: identify groups of entities that have similar characteristics
-supervised data mining: model developed before analysis; statistical techniques applied to data
*regression analysis: measures impact set of variables on another variable
* neural networks: predict values and make classifications such as "good/poor prospect" customers
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- Der Nutzer hat seine Fachbereichs-Information gelöscht. Karteikarten am CMIS 351 Lesson 5 Decision Making and Intelligence, erstellt von Gelöschter Nutzer am 31/03/2021.
- Erstellt von
- Gelöschter Nutzer · Mär 2021
- Aktualisiert
- 31 Mär 2021
- Aufrufe
- 8
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- Erstellt von Adriana Vincelli-Joma · 15 Dez 2019
- Kopiert von Adriana Vincelli-Joma · 31 Mär 2021
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