Chapter 6 (ITM100): Data Business Intelligence

These flashcards cover key vocabulary and concepts from Chapter 6 on Data Business Intelligence.

Data

Unprocessed facts and figures without any added interpretation or analysis.

Information

Data that has been processed, organized, or structured to provide meaning.

Database

A structured collection of data that can be easily accessed and managed.

Relational Database Management System (RDBMS)

A type of database management system that stores data in a structured format using rows and columns.

Data Quality

The measure of the condition of data based on factors such as accuracy, completeness, consistency, and timeliness.

Transactional Data

Data that supports day-to-day operations and reflects real-time transactions.

Analytical Data

Data that is used for analysis, summarization, and decision-making purposes.

Data Cleansing

The process of correcting or removing inaccurate records from a database.

Business Intelligence (BI)

Technologies and strategies used by enterprises for data analysis of business information.

Data Warehouse

A centralized repository that stores integrated data from multiple sources for analysis and reporting.

Metadata

Data that provides information about other data, including its content, quality, and condition.

Data Governance

The overall management of the availability, usability, integrity, and security of the data employed in an organization.

Blockchain

A distributed ledger technology that maintains a permanent and tamper-proof record of transactional data.

ETL (Extraction, Transformation, Loading)

A process that involves extracting data from various sources, transforming it into a suitable format, and loading it into a data warehouse.

Data Integrity

The accuracy and consistency of data over its entire lifecycle.

Data Mining

The practice of examining large databases to generate new information and discover patterns.