Glossary Archive

Also known as data scrubbing, data cleansing is the process of ensuring that a set of data is correct and accurate. During this process, records are checked for accuracy and consistency, and they are either corrected or deleted as necessary.

Graphical tool that represents the flow of data through a system and the various processes hat manipulate or change the data.

The practice of dividing or splitting data into smaller, manageable units for storage, processing, or distribution protecting data assets within an organization, ensuring data quality, compliance, and accountability.

The overall management of the availability, usability, integrity and security of data used in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures and a plan to execute those procedures.

Refers to the validity of data and having data that is correct and accurate.

The way organizations manage data. It includes data architecture, quality, storage and access to accurate data when and where it is needed.

A database, or collection of databases, designed to help managers make strategic decisions about their business. Whereas a data warehouse combines databases across an entire enterprise, data marts are usually smaller and focus on a particular subject or department. Some data marts, called dependent data marts, are subsets of larger data warehouses.

The process of transferring data from one source to another.

Process that finds relationships and patterns within a large amount of data stored in a database. The process uses tools based on algorithms to sift through mounds of data to find relationships.

A representation of the data structures in a table for a company’s database and is a very powerful expression of the company's business requirements. This data model is the guide used by functional and technical analysts in the design and implementation of a database.