Comprehensive Information Systems and Data Management Glossary

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A complete set of vocabulary flashcards covering basic Information Systems concepts, Database management from Chapter 6, and modern AI/Analytics topics.

Last updated 7:15 PM on 5/29/26
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102 Terms

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Big Data (General)

Extremely large quantities of structured and unstructured data that are too vast or complex to process using traditional methods; generated by IoT devices, websites, social media, and other sources.

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Business Model

Describes how a company produces, delivers, and sells a product or service to create wealth.

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Business Processes

Logically related tasks and behaviors for accomplishing work within an organization (e.g., developing a new product, fulfilling an order, hiring a new employee).

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Change Management

The many techniques used to bring about successful change in a business, including redesigning processes, training employees, and providing incentives for adoption.

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Cloud Computing

A centralized system for storing, managing, and processing data across the Internet using a network of remote computing centers; allows access from any Internet-connected device.

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Computer Hardware

Physical equipment used for input, processing, and output in an IS — computers, input/output/storage devices, and networking devices.

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Computer Literacy

Knowledge of information technology (hardware and software) only; a narrower concept than information systems literacy.

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Computer Software

Detailed, preprogrammed instructions that control and coordinate computer hardware components in an IS.

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Cobot

Short for 'collaborative robot'; works alongside humans in shared workspaces.

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Data

Streams of raw facts representing events in organizations or the physical environment before being organized into meaningful form.

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Data Management Technology

Software governing the organization of data on physical storage media.

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ESG

Environmental, Social, and Governance — the three criteria used to assess a firm's leadership in responsible business conduct; now a strategic business imperative.

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Extranet

A private intranet extended to authorized users OUTSIDE the organization to coordinate activities with other firms.

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Feedback

Output returned to appropriate members of an organization to evaluate or correct the input stage of an IS.

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Information

Data that have been shaped into a meaningful and useful form for human beings.

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Information System (IS)

A set of interrelated components that collect, process, store, and distribute information to support decision making, coordinating, and control in an organization.

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Information Systems Literacy

A broad understanding of IS encompassing people, organizational, and technical dimensions — including behavioral as well as technical awareness.

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Information Technology (IT)

All hardware and software a firm needs to achieve its business objectives.

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Input

The activity that captures or collects raw data from within an organization or from its external environment.

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Internet

The world's largest and most widely used network; a global network of networks using universal standards, connecting millions of networks in 230+230+ countries.

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Internet of Things (IoT)

A network of physical objects ('things') embedded with sensors, software, and other technologies for connecting and exchanging data with other devices over the Internet.

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Intranet

Internal corporate networks based on Internet technology.

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IT Infrastructure

All technologies — hardware, software, data management, networking — plus the people required to run them; the platform on which specific IS are built.

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Management Information Systems (MIS)

The study and application of IS that managers and employees use, dealing with both behavioral and technical issues surrounding IS development, use, and impact.

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Network

A system that links two or more computers to share data or resources such as a printer.

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Networking & Telecommunications Technology

Physical devices and software that link hardware components and transfer data between locations.

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Output

The activity that transfers processed information to people who will use it or to activities for which it will be used.

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Processing

The conversion of raw input into a meaningful form by classifying, arranging, and performing calculations.

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RPA (Robotic Process Automation)

Software bots that emulate human actions in interacting with digital systems — faster and more consistent than humans.

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World Wide Web (WWW / the Web)

A service provided by the Internet using universal standards for storing, retrieving, formatting, and displaying information in a page format; pages are linked to each other.

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Analytic Platform

Specialized preconfigured hardware-software system designed for query processing and analytics, using both relational and nonrelational technologies; can be 1010-100×100\times faster than traditional systems.

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Apache Spark

A Big Data processing engine that uses RAM (rather than a file system like Hadoop) to cache and process data; includes built-in machine learning algorithm libraries.

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Attribute

A specific characteristic of an entity. Each attribute becomes a field (column) in the entity's database table.

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Big Data (Chapter 6)

Data sets with volumes so huge they are beyond the ability of typical relational DBMS to capture, store, and analyze. Characterized by three 'Vs': extreme Volume, wide Variety, and high Velocity.

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Bit

Short for binary digit; the smallest unit of data a computer can handle — a value of 00 or 11.

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Blockchain

A distributed database technology enabling organizations to create and verify transactions on a P2P network without a central authority; stored as an unalterable chain of blocks.

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Byte

A group of bits representing a single character — a letter, number, or symbol.

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Data Cleansing / Scrubbing

Processes for detecting and correcting database data that are incorrect, incomplete, improperly formatted, or redundant.

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Data Definition

A DBMS capability for specifying the structure and content of a database — creating tables and defining each field's characteristics.

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Data Dictionary

A file that stores definitions and characteristics of every data element.

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Data Governance

Policies and procedures through which data can be managed as an organizational resource; establishes rules for sharing, acquiring, and securing data.

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Data Lake

A repository for raw, unstructured or structured data stored in native formats until needed; often stored using HDFS.

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Data Manipulation Language (DML)

A specialized language for adding, changing, deleting, and retrieving data from a database (e.g., SQL).

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Data Mart

A subset of a data warehouse containing a summarized or highly focused portion of the organization's data for a specific user population.

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Data Mining

Discovery-driven analysis that finds hidden patterns and relationships in large databases to predict future behavior (e.g., associations, sequences, classification, clustering, forecasting).

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Data Quality Audit

A structured survey of the accuracy and completeness of data in an information system.

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Data Warehouse

A database storing current and historical data from multiple operational systems for management reporting; data can be accessed but NOT altered.

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Database

A group of related files organized together — the highest level of the data hierarchy.

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Database Management System (DBMS)

Software for creating, storing, organizing, and accessing data from a database; separates logical view from physical view.

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Database Server

A dedicated computer on which the DBMS resides in a client/server environment.

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Distributed Database

A database stored in multiple physical locations simultaneously — parts or copies maintained in different sites while operating as a single unified database.

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Entity

A generalized category representing a person, place, or thing about which information is stored (e.g., CUSTOMER, SUPPLIER).

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Entity-Relationship Diagram

A schematic diagram showing database entities as boxes, their relationships as connecting lines, and the type of relationship (one-to-one, one-to-many, many-to-many).

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Field

A grouping of characters forming a word, name, or number; also called a column in a relational database.

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File

A group of records of the same type.

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Foreign Key

A field in one table that refers to the primary key of another table, creating a link between the two.

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Hadoop

Open-source framework for distributed, parallel Big Data processing across clusters of inexpensive computers; includes HDFS, MapReduce, and HBase.

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In-Memory Computing

Data processing that relies primarily on RAM for data storage rather than disk storage to shorten query response times.

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Join

A relational DBMS operation combining two or more tables into one result set using a shared common data element.

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Key Field

A field that uniquely identifies each record in a table, allowing records to be retrieved, updated, or sorted.

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MapReduce

Hadoop's data processing component; breaks down huge data processing jobs and distributes work to various nodes in a cluster.

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NoSQL (Nonrelational) Database

DBMS using a flexible data model instead of traditional row/column tables; designed for large distributed and unstructured Big Data.

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Normalization

The process of streamlining data groups to minimize redundant data elements and complications, increasing stability and flexibility.

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OLAP (Online Analytical Processing)

A tool supporting multidimensional data analysis, enabling users to view data through multiple dimensions using cube-based data models.

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Primary Key

The unique identifier field designated for each table in a relational database; cannot be duplicated.

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Project

A relational DBMS operation creating a subset of specific COLUMNS — a vertical filter.

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Query

A request for data from a database.

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Record

A group of related fields — one complete set of information about a single entity instance; also called a row.

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Referential Integrity

DBMS-enforced rules ensuring consistency between coupled tables by preventing records with foreign keys that have no corresponding primary key.

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Relational Database

Organizes data into two-dimensional tables (relations) with columns and rows, linked through shared data elements.

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Select

A relational DBMS operation creating a subset of all ROWS that meet stated criteria — a horizontal filter.

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Sentiment Analysis

Software that mines text in emails, blogs, or social media to determine favorable and unfavorable opinions about specific subjects.

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Smart Contract

A computer program embedded in blockchain that implements rules governing transactions among firms (price, timing, shipping).

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SQL (Structured Query Language)

The standard data manipulation language for querying and manipulating relational databases.

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Text Mining

Tools that analyze unstructured text data to extract key elements, reveal patterns, and summarize information.

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Web Mining

Discovery and analysis of useful patterns from the web, encompassing content, structure, and usage mining.

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Unstructured Decision

A novel, non-routine decision requiring judgment and insight where no agreed-on procedure exists; common at senior management level.

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Structured Decision

A repetitive, routine decision with a well-defined procedure; typically made at operational levels.

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Semistructured Decision

A decision where only part of the problem has a clear-cut procedure; common at middle management.

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Decision-Making Process

Simon's four-stage model: Intelligence, Design, Choice, and Implementation.

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High-Velocity Automated Decision Making

Decisions made entirely by computer algorithms in milliseconds or nanoseconds without human involvement.

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Business Intelligence (BI)

Infrastructure for warehousing, integrating, reporting, and analyzing data from the business environment to support decision making.

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Business Analytics (BA)

Tools and techniques for analyzing and understanding data (OLAP, statistics, data mining) to derive insight from BI infrastructure.

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Predictive Analytics

Use of statistical analysis and historical data to forecast future trends and behavior patterns.

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Operational Intelligence

Real-time monitoring and analysis of data streams from IoT devices and sensors to support day-to-day operational decisions.

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Geographic Information Systems (GIS)

Software tools that tie location data to points, lines, and areas on a map to help visualize and solve problems.

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Balanced Scorecard

A management methodology measuring performance across four dimensions: Financial, Business Process, Customer, and Learning & Growth.

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Key Performance Indicators (KPIs)

Specific measures proposed by senior management to understand firm performance along balanced scorecard dimensions.

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Sensitivity Analysis

A modeling technique that repeatedly asks what-if questions, changing variables to predict a range of outcomes.

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Augmented Reality (AR)

Technology that overlays digital data and images onto a real-world environment to enhance user perception.

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Artificial Intelligence (AI)

Computer systems that take environmental data as input and process it using specialized techniques to perform tasks normally requiring human intelligence.

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Expert Systems

AI systems that capture expert knowledge as IF-THEN rules in a knowledge base and use an inference engine to reach conclusions.

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Machine Learning (ML)

An AI paradigm that finds patterns in large datasets through statistical inference without explicit rule programming.

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Supervised Learning

ML where the system is trained on a labeled dataset (human-identified inputs and desired outputs).

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Unsupervised Learning

ML where the system discovers patterns and clusters on its own without human-labeled examples.

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Neural Network

An AI system of interconnected units (neurons) loosely modeled on the brain, using a Learning Rule algorithm for pattern recognition.

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Deep Learning

A complex neural network with many layers of transformation used for pattern detection on unlabeled data; basis of modern image and speech AI.

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Genetic Algorithm

A machine learning technique that finds optimal solutions by simulating evolutionary processes (selection, crossover, mutation).

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Natural Language Processing (NLP)

AI that enables computers to analyze, understand, and generate human language.

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Intelligent Agent

A software program that works in the background to carry out specific tasks for a user or process (e.g., Siri, Alexa).