ADP's Results, At-a-Glance
30 MinutesTo deliver test data | Fully MaskedSensitive HR data | Higher QualityFaster iterations create better solutions |
ADP's Story
The Challenge: Slow, Risky Data Copying Blocked Innovation
ADP needed a faster, safer way to move full production data into lower environments for development, QA, and customer support. Their existing process for copying data was slow and manual, often taking many hours—or days—for larger clients. At the same time, the data included highly sensitive HR and payroll information, making privacy and security non‑negotiable. These delays limited agility and slowed innovation in a fast‑changing market.
The Solution: Delivering Secure, Production‑Like Data in Minutes
With Perforce Delphix intelligent data automation platform, ADP can copy production data in place and deliver complete, production‑like data sets to non‑production environments quickly and efficiently. Delphix enables ADP to move data faster while masking sensitive information, ensuring developers can work with realistic data without exposing private employee details. This approach reduces storage usage, protects sensitive data, and supports secure development at scale.
The Result: Faster Time to Market With Higher‑Quality Releases
ADP reduced data delivery times from days to hours—and in some cases, as little as 30 minutes. Faster access to full data sets allows development teams to identify edge cases earlier, iterate more quickly, and experiment with new solutions. The result is faster time to market, higher‑quality releases, and better outcomes for both ADP and its clients.
Summary: Accelerate Delivery Like ADP
Ready to speed development while protecting employee and payroll data? Learn how Delphix helps enterprises modernize test data delivery with built‑in masking.
Deliver Data with Delphix [Demo]
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Full Video Transcript
We had a need to be able to copy production data and the full set of production data to other environments.
Sometimes it was for customer support issues. Other times, it was for new development. We wanted to move to a lower environment—a dev environment or a QA environment. We needed a solution where we could do that very quickly and very efficiently. Especially when I’m giving a lot of sensitive data to developers, I need to be able to do that with privacy and security.
Data is our middle name.
We’re all about the entire HR lifecycle. We’re about employee engagement. We’re about managers being more engaged with their employees. Of course, companies taking care of their most precious resource, which is people.
And, of course, a big part of it is pay. We pay one in six in the country, which is about twenty percent of the current workforce today. Our past process of moving data from one environment to another could be quite onerous at times. It might take a day, or many hours for small clients, and for large clients it could take a day or multiple days.
The faster we can innovate and the faster we can bring solutions to market, the better off we are as a company—and more importantly, the better off our clients are. It’s a very fast‑changing world today, so we have to be ready to pivot quickly, be agile, and introduce new solutions as our clients need them.
The more we can do that in a high‑quality, secure, agile manner, the better off we are. By utilizing Delphix, we copy in place, which saves us a lot of storage. We move the data quickly, and we’re also able to mask the data. The sensitive data that I can’t have every developer looking at—they’re not seeing it.
Our time to market is now faster than it used to be, and it’s higher quality. Once we have access to the full data set in lower environments for developers to work on, we’re able to quickly find areas in the data where there might be edge cases. We’re able to iterate on that while we’re doing development. Now we’re down to something much more reasonable—just a couple of hours, or sometimes as quickly as thirty minutes to an hour. That speed‑up has made it much faster and much easier to move data around.
Once the data is there, we can iterate with new software and new solutions on that data and make sure it actually works. It ultimately leads to a higher‑quality product. And because we can iterate more quickly, we’re able to experiment more and end up with better solutions.
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