F-Teya

CHAPTER 9 :ENABLING THE ORGANIZATION -DECISION MAKING

sons for the growth of decision-making information systems :

- People need to analyze large amounts of information.

- People must make decisions quickly

- People must protect the corporate assets of organizational information

Transactional Processing Systems :

• Transaction processing system
• Online transaction processing (OLTP)
• Online analytical processing (OLAP)

Models is a simplified representation or abstraction of reality and IT systems in an enterprise.

Transaction Processing Systems : 

Three quantitative models used by DSS includes : 

• Sensitivity Analysis
• What-if Analysis
• Goal-seeking Analysis 

Most EISs offering the following capabilities :

• Consolidation
• Drill-down
• Slice-and-dice 

Digital dashboard integrates information from multiple components and present it in a unified display.

Artificial Intelligence :

• Intelligent systems - is the various commericial applications of artificial intelligence

• Artificial intelligence (AI) - is simulates human intelligence such as the ability to reason and learn.

Four common categories of Al include :

1. Expert systems - for EXAMPLE: Playing Chess
2. Neutral Network - for EXAMPLE : Washing machines that determine by themselves how much water to use or how long to wash.
3. Genetic algorithm - for EXAMPLE : Business executives use genetic algorithm to help them decide which combination of projects a firm should invest.
4. Intelligent agent - for EXAMPLE : Shopping bot.software that will search several retailer's websites and provides a comparison of each retailer's offering including prive and availability.

 what is the DATA MINING : 

Common forms of data-mining analysis capabilities includes :

• Cluster analysis - a technique used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible.

• Association detection - reveals the degree to which variables are related and the nature and frequency of these relationship in the information.

• Statistical analysis - performs such functions as information correlations, distributuion, calculations, and variance analysis.