GDAC follows an enterprise data governance process for managing the availability, usability, integrity, security and privacy of the data in enterprise systems, based on state data standards and policies. Effective data governance ensures that data is consistent and trustworthy and doesn't get misused.
GDAC has established a data governance model ensuring a safe, secure and legally compliant information sharing environment that establishes consistent and standardized data sharing agreement processes with agencies and organization who are either data contributors, consumers or both. The data governance model promotes trust among agencies through common rules for data security, privacy, confidentiality and audit according to state IT security and privacy standards and protocols.
A data catalog maintains an inventory of data assets through the discovery, description and organization of datasets. The catalog provides context to enable data consumers to find and understand a relevant dataset for the purpose of extracting business value.
GDAC uses an information catalog tool to capture and enrich metadata of all data assets including information on entities, attributes, relationships and domains. It enables us to discover and document how data fits together and provides a common vocabulary around data.
Data as a service (DaaS) is a data management strategy that uses the cloud to deliver data storage, integration, processing and/or analytics services.
Our data management strategy and framework provide a strong foundation for consistent project approaches to manage data effectively, as well as reliable methods to access, integrate, govern, prepare and store data for analytics.