Data Classification
and Data Archive
Policy Design
and Data Archive
Policy Design
Data classification and identification is all about tagging your data so it can be found quickly and efficiently.
Classification can help an organisation to meet legal and regulatory requirements for retrieving specific information within a set time frame, and this is often the motivation behind implementing data classification technology.
Organisations can also gain from de-duplicating their information, which helps to cut storage and backup costs, whilst speeding up data searches.
Design centralised data management policies that determine which information should be archived and how long it should be retained.
Identify candidate data for removal from source locations (i.e., data stubbing) to reduce storage costs.
Managing the legal preservation of candidate sampling data for eDiscovery purposes.
Assess the readiness of your existing infrastructure for current archive requirements — creating a site migration plan if necessary to allow for data growth and flexibility.
Migration plan for candidate data that considers bandwidth, data type, access time, last-modified time, retention policies and more.
Ensure your proposed solution aligns data types with an appropriate level of resiliency as defined by your specific business requirements.
Evaluate how your compliance and archive strategy will affect your disaster recovery operations.