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Classify · Retain · Protect

Data Lifecycle Management

Data lifecycle management is a design problem: what you keep, where it lives, how long it stays, and how it is protected. ianAsher LLC maps the current state and a target lifecycle you can operate.

Overview

Classification that matches how the business actually uses the data.

Retention, archive and deletion written down, not left in a default.

Backup and recovery paths that have an owner and a tested restore.

Protection controls sized to the class of data, vendor-neutral.

Capabilities

  • Data-class and location mapping
  • Retention and archive design
  • Backup and restore review
  • Protection and access patterns
  • Prioritized change lists
  • Handoff into implementation quotes

Use cases

Too much data, no policy

What should be archived or deleted, and who decides.

Backups that have never been restored

A restore path with an owner.

One tool for every class

Protection that matches the data, not a single product.

Growth without a plan

A lifecycle that can take the next application without a forklift.

Related catalog

Sample SKUs and sellable services in the categories that attach to this practice.

All products →

Ready to scope this?

Design session or a written quote — same Montgomery bench.