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Varonis: How Saia Cleaned Up 20 Years of Legacy Data for Cloud Migration

Varonis
07/21/2026
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never really managed the permissions, didn't know who had access to what. And it had just been years of it snowballing and growing. We needed to move a ton of data from on-premise file servers over to SharePoint Online and OneDrive. And we saw that as a big opportunity for us to review the data that was out there and really decide what could we get rid of and clean up. Save us a lot of money. Varonis has come in and they've given us visibility into where all of our sensitive data is located, who has access to it, who isn't using it. And they've made recommendations of what we should do with it. The confidence that I have in the data classification engine and its ability to recognize sensitive data is outstanding. With a lot of other tools, there's going to be a ton of time that you'll invest tuning it to make sure that a social security number is really a social security number. But with Varonis, you don't have to do that. Out of the box, data classification engine is very accurate. We're partnering with the business, so I'm on a call with them. We're reviewing it in real time in Varonis where we've been able to reduce our exposure of hits of sensitive data for around 30 million hits, which is huge. That's a big win. It's really been easy to do. It's really been easy to do with Varonis. The visibility that it's given us has empowered the business to make decisions about their data.

TL;DR

  • Saia needed to clean up 20 years of legacy data with unmanaged permissions before migrating from on-premise file servers to SharePoint Online and OneDrive.
  • Varonis provided visibility into sensitive data locations, access patterns, and usage to identify what could be deleted or remediated before the cloud move.
  • The Data Classification Engine's out-of-the-box accuracy eliminated the tuning overhead typically required with other data classification tools.

Summary

This customer testimonial from Saia, a transportation and logistics company, highlights the challenges of managing two decades of accumulated legacy data before a major cloud migration initiative. Julia Bruce, Identity and Data Governance Manager at Saia, explains how the organization faced significant data sprawl with unmanaged permissions and unknown access patterns across on-premise file servers. By deploying Varonis, Saia gained comprehensive visibility into sensitive data locations, access rights, and usage patterns, enabling the team to make informed decisions about data remediation. The Data Classification Engine's out-of-the-box accuracy eliminated the typical tuning overhead associated with competing tools, allowing Saia to reduce sensitive data exposure by approximately 30 million hits. The platform's real-time collaboration capabilities enabled business stakeholders to participate directly in data review sessions, empowering departments to take ownership of their data governance decisions while preparing for migration to SharePoint Online and OneDrive.

Chapters

0:00 - Legacy Data Challenge
0:29 - Varonis Visibility and Recommendations
0:51 - Data Classification Accuracy
1:07 - Business Impact and Results

Key Quotes

0:41 "The confidence that I have in the data classification engine and its ability to recognize sensitive data is outstanding."
1:14 "We've been able to reduce our exposure of hits of sensitive data for around 30 million hits, which is huge. That's a big win."

FAQ

What was Saia's primary challenge before implementing Varonis?

Saia had accumulated over 20 years of legacy data with unmanaged permissions and no visibility into who had access to what. Before migrating to SharePoint Online and OneDrive, they needed to review, clean up, and secure this data to reduce costs and risk.


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