Identity
What the information is and how it is persistently identified.
DATA LIFECYCLE MANAGEMENT
Govern information
according to what it requires.
Savartus Data Lifecycle Management evaluates and governs information based on what it is, what it means, what obligations apply to it, what it is worth, and what the organization needs from it. DLM is not a storage tier and does not require Savartus optical storage.
90 DAYSAge is one signal. It is not the governance model.
ENTERPRISE DATA STATE VECTOR
Age is only
one characteristic.
Lifecycle governance depends on a much richer understanding of information — its identity, relationships, obligations, value, risk, protection requirements, integrity, availability, location, provenance, and other governance-relevant context.
Relationships
How the information relates to people, systems, records, and other information.
Business Value
The current and potential importance of the information to the enterprise.
Risk
Business, operational, legal, security, and preservation risk.
Retention
How long the information must or should remain available.
Protection
The protection requirements that apply to the information.
Security
Access, confidentiality, isolation, and security requirements.
Compliance
Regulatory, legal, contractual, and governance obligations.
Classification
The information's governing classification and handling requirements.
Integrity
The trustworthiness and integrity requirements of the information.
Availability
How accessible the information must be to authorized users and systems.
Provenance
Where the information came from and the history relevant to its trust.
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Other governance-relevant context
The canonical Enterprise Data State Vector also incorporates dimensions such as Confidence, Storage, and Location as part of the governed understanding of information.
INFORMATION IN CONTEXT
Govern what the information means —
not just where it lives.
Savartus establishes persistent identity and connects metadata, assertions, relationships, events, provenance, and business context so information can be understood consistently across systems and over time.
POLICY-DRIVEN GOVERNANCE
Understand. Evaluate. Decide.
Act. Verify. Reevaluate.
Governance is a continuous cycle. Savartus evaluates enterprise context against policy, determines what should happen, preserves the distinction between decision and authorization, verifies the outcome, and governs again from the resulting context across cloud, NAS, object storage, applications, databases, SSD/HDD, optical, tape, and other repositories.
ENTERPRISE DATA LIFECYCLE™
Information has a
business lifecycle.
Lifecycle stages describe the business and governance state of information. They do not define the storage technology that holds it.
Created
Information has been created and enters enterprise context.
Active
Information is actively used in business operations.
Collaborative
Information is actively changed by multiple users or systems.
Managed
Information remains operationally valuable while governance becomes increasingly important.
Protected
Protection requirements become a defining part of the information's governed state.
Archived
Information is retained primarily for historical, evidentiary, analytical, or governance value.
Preservation
Long-term integrity, authenticity, context, and usability become primary requirements.
Disposition Eligible
Policy conditions permit disposition, subject to authority and authorization.
Disposed
Authorized disposition has been completed and appropriately evidenced.
←POLICY-DRIVEN TRANSITIONS→
Lifecycle transitions may move forward or backward as information requirements change. The appropriate transition is determined by policy and governed context — not merely by elapsed time.
A CRITICAL DISTINCTION
Information state is
not storage state.
An information object can remain in the same lifecycle state while its storage placement changes — or change lifecycle state without requiring a storage migration.
PRACTICAL EXAMPLE
Archived information can become
operationally important again.
A dataset may remain in an Archived lifecycle state while moving from low-cost storage back to a high-performance tier because a new analytics or AI workload requires it.
LIFECYCLE STATEArchived
→
NEW BUSINESS REQUIREMENTAI / Analytics
→
STORAGE PLACEMENTHigh Performance
Its storage changed. Its lifecycle state did not.
ENTERPRISE DATA LIFECYCLE™ SPECIFICATION
The architecture
behind Savartus DLM.
Savartus Data Lifecycle Management is based on the architectural principles defined by the Enterprise Data Lifecycle™ Specification: persistent information identity, governed state, policy-driven decisions, authorized action, verification, evidence, and continuous reevaluation.
DATA LIFECYCLE MANAGEMENT
DLM decides.
Storage strategies execute.
Understand what information is, what it means, and what it requires. Then coordinate the appropriate action across enterprise systems, including Active Archive or Preservation when those are the right storage strategies.