ISA 235 Vocabulary

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134 Terms

1

Backup

An exact copy of a system’s information.

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2

Recovery

The ability to get a system up and running in the event of a system crash or failure that included restoring the information backup.

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3

Disaster Recovery

A detailed process for recovering information or a system in the event of a catastrophic disaster.

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4

Enterprise Architect

A person grounded in technology, fluent in business, and able to provide the important bridge between MIS and the business.

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5

Virtualization

Creates multiple “virtual” machines on a single computing device. A good analogy is a computer printer.

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6

IT’s Role in Environmental Sustainability

Combating ewaste, energy consumption, and carbon emissions requires a form to focus on creating sustainable MIS infrastructures.

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7

Portability

Refers to the ability of an application to operate on different devices or software platforms, such as different operating systems.

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8

Software as a Service (SaaS)

Delivers applications over the cloud using a pay-per-use revenue model.

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9

Platform as a Service (PaaS)

Supports the deployment of entire systems, including hardware, networking, and applications, using a pay-per-use revenue model.

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10

Infrastructure as a Service (IaaS)

Delivers hardware networking capabilities, including the use of servers, networking, and storage, over the cloud using a pay-per-use revenue model.

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11

Usability

The degree to which a system is easy to learn and efficient and satisfying to use.

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12

Accessibility

Refers to the varying levels that define what a user can access, view, or perform when operating a system.

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13

High Availability

Occurs when a system is continuously operational at all times.

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14

Scalability

Describes how well a system can scale up or adapt to the increased demands of growth.

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15

Maintainability (Flexibility)

Refers to how quickly a system can transform to support environmental changes.

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16

Vulnerability

A system weakness, such as a password that is never changed or a system left on while an employee goes to lunch, that can be exploited by a threat.

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17

Reliability

Ensures a system is functioning correctly and providing accurate information.

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18

Business Continuity Planning

Details how a company recovers and restores critical business operations and systems after a disaster or extended disruption.

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19

Data Steward

Responsible for ensuring the policies and procedures are implemented across the organization and acts as a liaison between the MIS department and the business.

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20

Data Stewardship

The management and oversight of an organization’s data assets to help provide business users with high-quality data that is easily accessible in a consistent manner.

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21

Blockchain

A type of distributed ledger, consisting of blocks of data that maintain a permanent and tamper-proof record of transactional data.

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22

Data Granularity

Refers to the extent of detail within the data (fine and detailed or coarse and abstract).

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23

Database Management System (DBMS or RDMS)

Creates, reads, updates, and deletes data in a database while controlling access and security.

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24

Data Mart

Contains a subset of data warehouse data.

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25

Data Cleansing or Scrubbing

A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete data.

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26

Primary Key

A field (or group of fields) that uniquely identifies a given record in a table.

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27

Data Lake

A storage repository that holds a vast amount of raw data in its original format until the business needs it.

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28

Data Model

Logical data structure that details the relationships among data elements by using graphics or pictures.

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29

Data Dictionary

Compiles all of the metadata about the data elements in the data model.

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30

Foreign Key

A primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables.

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31

Dirty Data

Erroneous or flawed data.

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32

Data Integirty

A measure of the quality of data.

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33

Record

A collection of related data elements. Each record in an entity occupies one row in its respective table.

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34

Database

Maintains data about various types of objects (inventory), events (transactions), people (employees), and places (warehouses).

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35

Data Warehouse

A logical collection of data - gathered from many different operational databases - that supports business analysis activities and decision-making tasks.

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36

Data Visualization

Describes technologies that allow users to see or visualize data to transform information into a business perspective.

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37

Mobile Application Management (MAM)

Technology that allows corporations to lock down, control, and enforce specific applications, generally the corporate applications specifically, on mobile devices such as tablets and smartphones.

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38

Bandwith

The maximum amount of data that can pass from one point to another in a unit of time.

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39

Location-based Services

A GPS is a global navigation satellite system that uses at least 24 satellites, a receiver and algorithms to provide location, velocity and time synchronization for air, sea and land travel.

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40

Geographic Information System (GIS)

A computer system for capturing, storing, checking, and displaying data related to positions on Earth’s surface in order to help individuals and organizations better understand spatial patterns and relationships.

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41

Radio-frequency Identification (RFID)

A process that uses a tag, that consists of a tiny radio receiver and transmitter, attached to objects that is scanned by a device that creates an electromagnetic field to identify and track the objects.

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42

Digital Divide

The gap between those who have access to digital technologies and those who do not.

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43

WiFi

One form of wireless technology that has grown, not so much in newer capabilities, but the range of available devices have greatly increased.

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44

Integrations

Allow separate systems to communicate directly with each other, eliminating the need for manual entry into multiple systems.

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45

Enterprise Systems

Provide enterprisewide support and data access for a firm’s operations and business processes.

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46

Enterprise Application Integration (EAI)

Connects the plans, methods, and tools aimed at integrating separate enterprise systems.

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47

Supply Chain

Consists of all parties involved, directly or indirectly, in obtaining raw materials or a product.

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48

Sales Force Automation

Automatically tracks all the steps in the sales process.

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49

Operational CRM

Supports traditional transactional processing for day-to-day front-office operations or systems that deal directly with the customers.

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50

Analytical CRM

Supports back-office operations and strategic analysis and includes all systems that do not deal directly with the customers.

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51

Accounting and Finance ERP Components

Manage accounting data and financial processes within the enterprise with functions such as general ledger, accounts payable, accounts receivable, budgeting, and asset management.

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52

Production and Materials Management ERP Components

Handle production planning and execution tasks such as demand forecasting, production scheduling, job cost accounting, and quality control.

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53

Human Resources ERP Components

Track employee information including payroll, benefits, compensation, and performance assessment and ensure compliance with all laws.

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54

Legacy Systems

An old system that is fast approaching or beyond the end of its useful life within an organization.

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55

Planning Phase

Establishes a high-level plan of the intended project and determines project goals.

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56

Analysis Phase

The firm analyzes its end-user business requirements and refines project goals into defined functions and operations of the intended system.

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57

Design Phase

Establishes descriptions of the desired features and operations of the system, including screen layouts, business rules, process diagrams, pseudo code, and other documentation.

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58

Development Phase

Takes all the detailed design documents from the design phase and transforms them into the actual system.

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59

Testing Phase

Brings project pieces together into a special testing environment to eliminate errors and bugs and verify that the system meets all the business requirements defined in the analysis phase.

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60

Implementation Phase

The organization places the system into production so users can begin to perform actual business operations with it.

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61

Maintenance Phase

Organizations perform changes, corrections, additions, and upgrades to ensure the system continues to meet business goals.

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62

Business Requirements

The specific business requests the system must meet to be successful, so the analysis phase is critical because business requirements drive the entire systems development effort.

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63

Agile Methodology

Aims for customer satisfaction through early and continuous delivery of useful software components developed by an iterative process using the bare minimum requirements.

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64

Waterfall Methodology

A sequence of phases in which the output of each phase becomes the input for the next.

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65

Prototyping

A modern design approach where the designers and system users use an iterative approach to building the system.

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66

Outsourcing

An arrangement by which one organization provides a service or services for another organization that chooses not to perform them in-house.

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67

Project Management

The application of knowledge, skills, tools, and techniques to project activities to meet project requirements.

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68

Feasibility

The measure of the tangible and intangible benefits of an information system.

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69

Value Chain

Groups a firm’s activities into two categories, primary value activities, and support value activities.

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70

Internet of Things (IoT)

A world where interconnected, Internet-enabled devices or “things” have the ability to collect and share data without human intervention.

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71

Knowledge

Includes the skills, experience, and expertise, coupled with information and intelligence, that create a person’s intellectual resources.

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72

Porter’s Five Forces Model

Analyzes the competitive forces within the environment in which a company operates to assess the potential for profitability in an industry.

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73

Data Silo

Occurs when one business unit is unable to freely communicate with other business units, making it difficult or impossible for organizations to work cross-functionally.

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74

Data

Raw facts that describe the characteristics of an event or object.

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75

Business Intelligence (BI)

Information collected from multiple sources such as suppliers, customers, competitors, partners, and industries that analyzes patterns, trends, and relationships for strategic decision-making.

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76

System

A collection of parts that link to achieve a common purpose.

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77

Big Data

A collection of large, complex datasets, which cannot be analyzed using traditional database methods and tools. Four characteristics: Variety, Veracity, Volume, and Velocity.

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78

Information

Data converted into a meaningful and useful context.

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79

Analytics

The science of fact-based decision-making.

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80

Business Analytics

The scientific process of transforming data into insight for making better decisions.

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81

Systems Thinking

A way of monitoring the entire system by viewing multiple inputs being processed or transformed to produce outputs while continuously gathering feedback on each part.

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82

SWOT Analysis

Evaluates an organization’s strengths, weaknesses, opportunities, and threats to identify significant influences that work for or against business strategies.

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83

Metrics

Measurements that evaluate results to determine whether a project is meeting its goals.

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84

Business Process

A standardized set of activities that accomplish a specific task, such as processing a customer’s order.

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85

Artificial Intelligence

Simulates human thinking and behavior, such as the ability to reason and learn.

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86

Best Practices

The most successful solutions or problem-solving methods that have been developed by a specific organization or industry.

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87

Algorithms

Mathematical formulas placed in software that perform an analysis on a dataset.

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88

Machine Learning

A type of artificial intelligence that enables computers to both understand concepts in the environment and to learn.

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89

Granularity

Refers to the level of detail in the model or the decision-making process.

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90

Business Process Modeling

The activity of creating a detailed flowchart or process map of a work process that shows its inputs, tasks, and activities in a structured sequence.

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91

Business Process Model and Notation (BPMN)

A graphical notation that depicts the steps in a business process.

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92

Business Process Automation

The process of computerizing manual tasks, making them more efficient and effective, and dramatically lowering operational costs.

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93

Key Performance Indicator (KPI)

The quantifiable metrics a company uses to evaluate progress toward critical success factors. KPIs are far more specific than CSFs.

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94

Robotic Process Automation (RPA)

The use of software with artificial intelligence and machine learning capabilities to handle high-volume, repeatable tasks that previously required a human to perform.

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95

Vizualization

Produces graphical displays of patterns and complex relationships in large amounts of data (Bar Chart Histogram, Pie Chart, etc.).

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96

Business Process Reengineering

The analysis and redesign of workflow within and between enterprises.

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97

Business Process Streamlining

Improves business process efficiencies by simplifying or eliminating unnecessary steps.

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98

Critical Success Factors (CSF)

The crucial steps companies perform to achieve either goals and objectives and implement their strategies.

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99

Disruptive Technology

A new way of doing things that initially does not meet the needs of existing customers.

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100

Sustaining Technology

Produces an improved product customers are eager to buy, such as a faster car or larger hard drive.

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