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ITECH Ch 15

TermDefinition
Ad hoc reporting tools Tools that put users in control so that they can create custom reports on an as-needed basis by selecting fields, ranges, summary conditions, and other parameters.
Analytics A term describing the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.
AI Computer software that seeks to reproduce or mimic (perhaps with improvements) human thought, decision making, or brain functions.
Big data A general term used to describe massive amount of data available to today's managers.
Business intelligence A term combining aspects of reporting, data exploration and ad hoc queries, and sophisticated data modeling and analysis.
Canned reports Reports that provide regular summaries of information in a predetermined format.
CAPTCHAs An acronym for Completely Automated Public Turing Test to Tell Computers and Humans Apart
Column/field A column in a database table. Columns represent each category of data contained in a record (e.g., first name, last name, ID number, date of birth).
Dashboards A heads-up display of critical indicators that allow managers to get a graphical glance at key performance metrics.
Data Raw facts and figures
Data aggregators Firms that collect and resell data.
Database A single table or a collection of related tables.
Database administrator (DBA) Job title focused on directing, performing, or overseeing activities associated with a database or set of databases.
Data management system (DBMS) Sometimes referred to as database software; software for creating, maintaining, and manipulating data.
Data cube A special database used to store data in OLAP reporting.
Data lake A catch-all term for storage and access technologies used in Big Data
Data mart A database or databases focused on addressing the concerns of a specific problem (e.g., increasing customer retention, improving product quality) or business unit (e.g., marketing, engineering).
Data mining The process of using computers to identify hidden patterns in, and to build models from, large data sets.
Data warehouse A set of databases designed to support decision making in an organization.
Deep learning A type of machine learning that uses multiple layers of interconnections among data to identify patterns and improve predicted results
E-discovery The process of identifying and retrieving relevant electronic information to support litigation efforts
Hadoop A set of mostly open-source tools to manage massive amounts of unstructured data for storage, extraction, and computation
Information Data presented in a context so that it can answer a question or support decision making
Knowledge insight derived from experience and expertise
Legacy systems Older information systems that are often incompatible with other systems, technologies, and ways of conducting business
Loyalty card Systems that provide rewards and usage incentives, typically in exchange for a method that provides a more detailed tracking and recording of customer activity.
Machine learning A type of artificial intelligence that leverages massive amounts of data so that computers can improve the accuracy of actions and predictions on their own without additional programming.
Neural networks Statistical techniques used in AI, and particularly in machine learning. Neural networks hunt down and expose patterns, building multilayered relationships that humans can't detect on their own.
Optical character recognition (OCR) Optical Character Recognition. Software that can scan images and identify text within them.
Omnichannel Providing customers with a unified experience across customer channels, which may include online, mobile, catalog, phone, and retail. Pricing, recommendations, and incentives should reflect a data-driven, accurate, single view of the customer.
Online analytical processing (OLAP) A method of querying and reporting that takes data from standard relational databases, calculates and summarizes the data, and then stores the data in a special database called a data cube.
Over-engineer Build a model with so many variables that the solution arrived at might only work on the subset of data you've used to create it.
Relational database The most common standard for expressing databases, whereby tables (files) are related based on common keys.
Row/record A row in a database table. Records represent a single instance of whatever the table keeps track of (e.g., student, faculty, course title).
Serverless A type of cloud-computing where a third-party vendor managers servers, replication, fault-tolerance, computing scalability and certain aspects of security
Structured query language (SQL) A language used to create and manipulate databases.
Table A list of data, arranged in columns (fields) and rows (records)
Transaction some kind of business exchange
Transaction processing system (TPS) Systems that record a transaction (some form of business-related exchange), such as a cash register sale, ATM withdrawal, or product return.
Created by: user-1740947
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