Identity
What information object is this?
DATA LIFECYCLE MANAGEMENT
Your data has
more than a birthday.
Savartus Data Lifecycle Management evaluates 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 — not simply how long it has existed.
90 DAYSA file turning 90 days old isn't a business event.
UNDERSTAND THE INFORMATION
Age is only one
characteristic.
Lifecycle decisions become more meaningful when organizations understand the information itself — its identity, relationships, obligations, value, risk, availability, and operational context.
Relationships
What other information is connected to it?
Business Value
How important is it to the organization?
Risk
What is the consequence of loss, misuse, or exposure?
Retention
What obligations govern how long it must be kept?
Compliance + Legal
What regulatory, contractual, or legal requirements apply?
Integrity
Can authenticity and integrity be demonstrated?
Availability
How accessible must the information be?
Storage
Where and how is the information currently stored?
Location
What physical, logical, or jurisdictional constraints apply?
Lineage
Where did the information come from and how was it derived?
Analytic + AI State
What governed intelligence has been derived from it?
90 DAYS OLDtells you how old the information is — not what should happen to it.
POLICY-DRIVEN GOVERNANCE
Understand.
Evaluate. Decide.
Savartus DLM separates observation, policy evaluation, lifecycle decisions, and execution so that information can be governed consistently across applications, repositories, and storage technologies.
OBSERVE
Understand the information
Gather authoritative metadata, identity, relationships, state, context, and governance-relevant observations.
→
EVALUATE
Apply enterprise policy
Evaluate the conditions relevant to retention, protection, availability, preservation, compliance, value, and risk.
→
DECIDE
Determine what should happen
Produce an explainable lifecycle decision based on current information state and applicable policy.
→
EXECUTE
Carry out the authorized action
Protect, preserve, move, recall, retain, restrict, or dispose through the appropriate enterprise service.
↻
Then evaluate again.
Information, business requirements, risk, policy, and technology change. Lifecycle governance should respond when they do.
ENTERPRISE DATA LIFECYCLE
Information has a
business lifecycle.
Lifecycle state describes where information exists within its business and governance lifecycle. It is not a description of the disk, cloud tier, optical library, or other technology currently storing it.
01
Created
Information enters the enterprise lifecycle.
02
Active
Information supports current business activity.
03
Collaborative
Information is actively shared, changed, and developed.
04
Managed
Information enters governed enterprise management.
05
Protected
Additional protection requirements apply.
06
Archived
Primary operational activity has decreased.
07
Preserved
Long-term authenticity and accessibility become central.
08
Disposed
Authorized lifecycle completion has occurred.
Lifecycle transitions are policy-driven. The appropriate path is determined by the information and its requirements — 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.
INFORMATION LIFECYCLE
Created
Active
Collaborative
Managed
Protected
Archived
Preserved
What is the information's current lifecycle context?
≠
STORAGE PLACEMENT
HOTSSD / HDD
ONLINEOptical Object Storage
OFFLINEOptical Preservation
OTHERCloud / NAS / Object / Tape
Where and how should the information be stored right now?
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.
The access requirement changed. The lifecycle state did not.GOVERN INFORMATION. NOT INFRASTRUCTURE.
Technology changes.
Information persists.
Savartus Data Lifecycle Management provides a policy-driven framework for understanding, governing, protecting, preserving, and continuously optimizing enterprise information throughout its existence.