Chapter 1/2 Flashcards
What is a system?
Set of related components that produce specific results.
What does RADDI stand for?
Requirements Analysis Design Development Implement
Mission-critical system:
System that is vital to a company’s operations.
Data:
Basic facts that are the systems raw material.
Information:
Data that has been transformed into output that is valuable to users.
5 components of information systems and their definitions:
- Hardware: consists of everything in the physical layer of the information system.
- Software: programs that control the hardware and produce the desired information or results. Consists of system software and application software.
- Data: raw material information system uses to be transformed into useful information.
- Processes: describe the tasks and business functions that users, managers, and IT staff members perform to achieve specific results.
- People: people who have an interest in an information system. AKA “stakeholders”
Stakeholders:
Include:
- management of info. System
- users inside/outside company who use the system.
- IT staff members.
Business-to-consumer and business-to-business E-commerce:
B2C: business selling to consumers( retail)
B2B: purchasing and data exchange between businesses.
Enterprise computing:
Information systems that support company-wide operations and data management requirements.
Examples: Wal-Mart’s inventory system, Boeing’s production control system, Hilton Hotels’ reservation system.
Transaction processing (TP) system:
Systems that process data generated by day-to-day business operations.
Examples: Customer order processing, accounts receivable, warranty claim processing.
Business Support Systems:
Provide job-related information support to users at all levels of a company.
Analyze transactional data, generate info needed to manage and control business processes and provide info that leads to better decision making.
Knowledge management systems:
Also called “expert systems”
Simulate human reasoning by combining a knowledge base and inference rules that determine that determine how knowledge is applied.
Knowledge base:
Large database that allows users to find info by entering keywords or questions in normal English phrases.
Inference rules:
Logical rules that identify data patterns and relationships.
User productivity systems:
Provide employees of all levels an array of tools to improve job performance.
Ex: email, word processing, groupware.