For decades, archiving was a narrowly defined practice. In regulated industries such as financial services, healthcare, and government, it meant retaining data for years (sometimes decades) to satisfy governance, risk, and compliance (GRC) mandates. Archiving was rarely questioned; it was simply the cost of doing business.
That definition no longer holds.
Over the past five years, and especially following the post-COVID shift to cloud-first IT, archiving has taken on a far broader role. Explosive data growth, widespread adoption of platforms like Microsoft 365, and rising per-terabyte storage costs have made archiving a financial issue affecting nearly every organization.
Today, archiving is as much about controlling costs and managing growth as it is about compliance.
From Digital Attics to Runaway Storage Costs
Traditional archiving resembles storing boxes in an attic: data is moved out of sight, kept “just in case,” and largely forgotten. That approach worked when data volumes were manageable and when primary storage was relatively cheap. But the scale has changed dramatically.
Organizations now generate and retain far more data than ever before. Collaboration platforms such as SharePoint, Exchange, and OneDrive have become default repositories for documents, emails, and shared content. Remote work, cloud collaboration, and data-hungry AI tools have only accelerated this trend. What was once a tidy attic now looks more like a full, expensive, and difficult-to-manage warehouse.
Compounding the problem, cloud storage costs continue to rise on a per-terabyte basis. In platforms like Microsoft 365, front-end storage is particularly costly, and unchecked data growth directly impacts IT budgets. As a result, archiving has shifted from a passive retention exercise to an active cost-optimization strategy.
Modern Archiving: Reducing Primary Storage Without Losing Access
Modern archiving focuses less on how long data is retained and more on where it lives and how it’s accessed. The goal is to reduce expensive primary storage by removing inactive or infrequently accessed data while keeping it available when needed.
Techniques such as data stubbing make this possible. Instead of keeping full data sets in high-cost production environments, organizations can archive data to lower-cost storage tiers and leave behind lightweight placeholders. These stubs preserve essential metadata and access paths, allowing users to retrieve archived content seamlessly, without knowing or caring where it physically resides.
This approach is especially critical in Microsoft 365 environments, where data growth averages around 20% per year. Without intelligent archiving, SharePoint sites and Exchange mailboxes quickly become cluttered with redundant and inactive content, driving up costs and complicating governance.
The Fragmentation Problem
Despite these advances, archiving today remains fragmented. File data is often archived using one set of tools, while Microsoft 365 workloads are handled by another. Backup systems operate separately, creating their own copies of the same data for recovery purposes.
This fragmentation leads to inefficiency: multiple passes over the same data, multiple copies stored in different places, and unnecessary data movement, all of which increase complexity and cost.
Yet every organization already collects data daily for another reason: backup and recovery. Whether defending against ransomware, system failures, or natural disasters, backup is non-negotiable. And like archiving, it contributes significantly to storage growth and expense.
Which raises an obvious question: why are backup and archiving still treated as separate processes?
Converging Backup and Archiving
A more forward-looking approach is to converge backup and archiving into a single operation. Rather than creating separate copies for recovery and long-term retention, organizations could create a single intelligent secondary copy that serves both purposes. In this model:
- Data is captured once.
- It is moved once to a lower-cost storage tier.
- The primary copy can be safely removed when it becomes inactive.
- The secondary copy supports both disaster recovery and archival access.
This unified approach reduces duplication, minimizes data movement, and shrinks the footprint of expensive front-end storage. Built-in deduplication and compression further lower costs, while policy-driven controls determine what data should be retained, archived, or retired altogether.
Crucially, accessibility is preserved. Data stubs ensure that archived content remains discoverable and retrievable, preventing the “out of sight, out of mind” problem that plagued older archiving strategies.
Rethinking Archiving for What Comes Next: A Simpler, More Cost-Effective Future
Compliance will always matter, particularly in highly regulated industries. But in today’s cloud-first world, archiving is no longer just a regulatory obligation; it’s a strategic lever for controlling cost, complexity, and data sprawl. And as AI-driven analytics mature, organizations will gain even more visibility into inactive, redundant, or low-value data, making archiving smarter and more proactive.
Organizations must rethink archiving not as a standalone function, but as part of a broader data management strategy. Unifying backup and archiving offers a compelling path forward: fewer copies, lower costs, simpler operations, and a more sustainable way to manage data in the years ahead.
About the Author
