omis ch1-4 Flashcards
data about data, labels, give context
metadata
Processes transaction data from terminal
Transaction processing system (TPS)
Integrates all functional areas of the organization
Enterprise resource planning
(ERP)
Supports the activities within specific functional area
Functional area IS
Provides access to data and analysis tools
Decision support system
Mimics human expert in a particular area and makes decisions
Expert system (ES)
Present structured, summarized information about aspects of business important to executives
Dashboards
Manages flows of products, services, and information among organizations
Supply chain management system
Enables transactions among organizations and between organizations and customers
Electronic commerce system
Information systems that connect two or more organizations
Interorganizational Information Systems (IOSs)
lowest level of data measurement. Numbers representing nominal data can be used only to classify or categorize. (arithmetic operations don’t make sense)
Nominal
ordinal-level measurement can be used to classify, categorize, rank or order objects, qualitative data, imprecise measurements, distance between ranks not always equal, arithmetic still doesn’t make sense but excellent > poor
Ordinal
where the distances between consecutive numbers have meaning and the data are always numerical, quantitative, arithmetic operations can be performed, zero has a meaning (not an absence)
Interval
Highest level of data measurement. Ratio data has the same properties as interval data, but ratio data have an absolute zero and the ratio of two numbers is meaningful, quantitative, defined zero point that means absence of characteristic being studied
Ratio
require that data be interval or ratio
Parametric statistics
data values are nominal or ordinal
Non-parametric statistics
takes traditional data and describes what has happened or is happening in a business
Descriptive analytics
finds relationships in the data that are not readily apparent with descriptive analytics
Predictive analytics
follows descriptive and predictive analytics in an attempt to find the best course of action under certain circumstances
Prescriptive analytics
process of collecting, exploring, and analyzing large volumes of data in an effort to uncover hidden patterns and/or relationships that can be used to enhance business decision-making
Data mining
data quality, correctness and accuracy
Veracity
-32,768 to 32,767, 16 bits
Short value
-(2^63) to 2^63, 64 bits
Long value