Congratulations! You just finished your first migration of file systems to a cloud collaboration platform. Don’t stop there!
You can generate even more savings from decommissioning, repurposing and downsizing additional storage systems. Fewer on-premises servers and applications mean less hardware and software to buy and lower maintenance costs. Even better…fewer IT headaches.
Several data sources can potentially be moved onto your cloud platform:
- End-of-life servers
- Legacy content management platforms
- Unauthorized cloud platforms (shadow IT)
- Systems utilized by remote offices and isolated workgroups
When migrating any system, the key is to run file analysis first. It’s almost impossible to determine what to do with content that is not understood.
The Power of Storage Analytics
When considering which data sources to move to the cloud, an analytics tool can be extremely powerful, helping identify the best opportunities for reducing storage. You can also discover, segment and organize data to maximize the ROI of moving to the cloud.
Here’s a sampling of what you might find:
Unnecessary Directories: A storage analytics tool can analyze directories to see how many folders and files they contain and to determine the size of each directory. This pinpoints directories that are unnecessary or take up too much room.
Collaborative End Users: Your business will reap rewards by identifying and moving collaborative end users to the cloud where they can work more efficiently with files. Analysis shows sharing and permissions; from there, you can group users by department to see how much sharing and collaboration occurs.
Heavy Storage Users: Some end users need extra storage. They can be sorted by ownership or the location of their files, and organized by number of files and size of files per user. Identifying heavy storage users to migrate with a storage analytics tool accelerates server decommissioning.
Cold Data: As your IT team knows only too well, some users never throw anything away. Filter files by last modified date or creation date to identify content that can be left behind, archived in cold storage, or deleted altogether.
Ghost Users: Using an analytic tool to discover former employees or “ghost users” who still own files presents another opportunity to reduce costs by eliminating unnecessary user accounts. If your cloud platform charges for additional storage space, sending these files to an archival service generates additional savings.
It’s Not a One-and-Done Scenario
Deleting, archiving or migrating file systems by going through the analysis above helps decommission storage systems sooner and frees up space to consolidate. But keep the process in motion—as more servers reach end-of-life, as data grows old, as new shadow IT pops up, and as mergers or acquisitions take place, you can move additional segments of your environment to the cloud. And by utilizing a storage analytics tool, you can efficiently identify which systems and files need to be moved so you can maximize the ROI of your cloud environment.
To find out more about the benefits of storage analysis when moving data to the cloud, check out our white paper, Moving Data to the Cloud? How to Make It Happen and Boost ROI Using Pre-Migration Analytics.