INSY 2299 Study Guide - Final Guide: Web Service, Electronic Data Interchange, Open-Source Software
22 Jun 2018
School
Course
Professor
Final Exam Review Guide
Business Analytics (Beyond Excel)
OLAP (multidimensional data cubes)
Performance Dashboards (visual displays that consolidate important info onto one screen)
Datamining (use of tech to sift through data looking for patterns that humans might miss)
The Four Vs of Big Data
oVolume: Businesses are collecting mountains of data
oVelocity: The speed with which the data is being collected
oVariety: Structured and unstructured data
oVeracity: The data need to be correct
Predictive vs. Descriptive vs. Prescriptive Analytics
oDescriptive: Summarizes what has happened
oPredictive: Makes predictions about the future based on past data
oPrescriptive: Recommends actions and shows likely outcomes
Design of a Digital Computer
Principle components and their purpose
oCentral Processing Unit (CPU): The microprocessor; the fastest, most expensive
part of the computer
oMain Memory (Primary Storage): The component that stores programs while
they’re executing (fast enough to keep up with the CPU)
Largely Random Access Memory (RAM), which is volatile
oSecondary Storage: Augments the more expensive main memory; permanently
stores programs/data
oInput devices, output devices, communications devices
*Applies to all devices that embed information technology*
Software: Applications and Operating System
Applications (the things that provide us with business value and personal productivity -
the reasons that a person/organization purchases a computer)
Operating System (the systems software that supports and facilitates applications,
connects users and apps to the hardware)
oExample: Windows
Total Cost of Ownership (TCO)
One must assess a proposed IS project to determine whether the expected benefits exceed
the expected costs by considering the TCO
Not just direct costs (purchase price), but also indirect costs (maintenance, training,
technical support) and hidden costs (costs of nonoperational technology)
Client-Server Computing
An arrangement in which two computers work together to complete a task
find more resources at oneclass.com
find more resources at oneclass.com
Document Summary
Performance dashboards (visual displays that consolidate important info onto one screen) Datamining (use of tech to sift through data looking for patterns that humans might miss) The four vs of big data: volume: businesses are collecting mountains of data, velocity: the speed with which the data is being collected, variety: structured and unstructured data, veracity: the data need to be correct. Predictive vs. descriptive vs. prescriptive analytics: descriptive: summarizes what has happened, predictive: makes predictions about the future based on past data, prescriptive: recommends actions and shows likely outcomes. Largely random access memory (ram), which is volatile: secondary storage: augments the more expensive main memory; permanently stores programs/data, input devices, output devices, communications devices. *applies to all devices that embed information technology* Applications (the things that provide us with business value and personal productivity - the reasons that a person/organization purchases a computer)
