FAIR Data Principles
FAIR data principles provide guidelines to easily find, access, integrate and reuse data
FAIR data principles provide guidelines to easily find, access, integrate and reuse data
Data Fabric is an end-to-end data integration and management solution that helps organizations effectively manage their data
Transactional data is the information that organizations capture from their business transactions
Data accessibility is the degree to which people in an organization can access and use data
Data Stewardship is a collection of functions that ensures all organizational data assets are accessible, usable, safe, and trusted
A data platform integrates disparate technologies to meet an organization’s end-to-end data needs
A Data Governance Maturity Model is a methodology to measure organizations' Data Governance initiatives
Master Data Management (MDM) helps ensure that the organization’s shared data is consistent and accurate
Data security protects an organization's data from internal and external threats
Data quality describes the degree to which data fits the purpose it was intended for
Metadata enriches the data with information that makes it easier to find, use and manage
Data Governance (DG) is the process of managing the availability, usability, integrity and security of the data in an organization