How Fannie Mae Accelerates Data Delivery for DevOps and Test Data Management with Delphix

Fannie Mae's Results, At-a-Glance

Fannie Mae's Story

The Challenge: Data Bottlenecks Slowed Innovation

At Fannie Mae, data is not just part of the business. It is the product. But managing that data at scale created significant challenges across teams.

Large, complex datasets were difficult to access and slow to deliver. Developers, testers, and analysts often had to wait weeks or even months to get the data they needed. This delay created constant friction between teams and slowed the pace of development and innovation.

The organization also struggled with data sprawl. Multiple copies of data existed across environments, with no single source of truth. This made it hard to maintain consistency, increased risk, and added operational overhead.

As demand for data grew rapidly across the business, these issues became more acute. Teams needed faster, more reliable access to data. But existing processes couldn’t keep up.

Fannie Mae recognized the need to fundamentally transform how data was delivered, managed, and shared across the organization.

The Solution: Data Transformation with Perforce Delphix

America’s most valued housing partner, Fannie Mae underwent a “data transformation” journey that served as the crux of a total company reinvention.

VP of Development Services Mike Garcia and the members of his team embraced DataOps and the Perforce Delphix platform to open up access to data, automate processes, enable new levels of sharing and dramatically speed up application development times.

The new levels of speed they were able to achieve that beyond their wildest  expectations and spawned a new era of continuous innovation.

“There’s now a new level of optimism in the company that’s palpable,” added Garcia.

The Results: Data Deliver in Days, Not Weeks

The impact of this transformation was immediate and measurable.

Data delivery timelines were reduced dramatically: from six weeks to just two days. What once required long wait times could now be accomplished nearly on demand.

With faster access to data, teams became more agile and innovative. They could quickly test ideas, iterate, and move forward—or fail fast and pivot when needed.

Collaboration across teams also improved significantly. Developers, data analysts, and business users could work independently while relying on the same consistent, governed data. This eliminated friction and enabled a more streamlined, efficient workflow.

Perhaps most importantly, the organization experienced a cultural shift. Teams felt more empowered and connected to the impact of their work. With barriers removed, they could focus on delivering value, helping Fannie Mae better serve its mission of supporting homeownership.

Summary: Make Data Fast, Trusted, and AI-Ready

Deliver data in days, not weeks. See how Perforce Delphix helps teams automate data delivery, reduce bottlenecks, and move faster with trusted data.

See a Demo

Full Transcript

To be America’s most valued housing partner, we care deeply about how we solve problems for our customers, not just whether we solve them.

Data is incredibly important to an organization like Fannie Mae. It’s not just a contributing factor to the products we create—it is the product.

If you look at what data can offer, the opportunities are endless. But for most companies, data often feels like a drag on the organization.

Datasets are huge, and developers and testers are constantly waiting for access. There was significant friction between developers, testers, data analysts, and business users.

It slows everything down—and it’s a problem that never goes away. One of the biggest challenges was that we had copies of data everywhere, with no single source of truth.

At times, we experienced an explosion in data demand. It was extremely difficult to meet the constant needs of teams across the organization.

We asked ourselves: How can we improve? How can we deliver data faster to all our partners? We needed a better way to operate effectively and efficiently.

DataOps provided that opportunity. It allowed us to automate processes—finding data, transforming it quickly, and delivering it in a self-service model so users could access what they needed on their own.

Once we started implementing this approach, everything changed. Automation increased, sharing improved, and new insights emerged.

The velocity of what people could do with data skyrocketed.

What once took six weeks to deliver data now takes just two days. Answers are available almost immediately, instead of waiting months.

This has made teams far more innovative.

With the push of a button, users can access datasets, test ideas, and move forward quickly—or fail fast and try something new.

One of the most impressive outcomes of our DataOps strategy has been improved collaboration between developers, data analysts, and business teams.

Now, each group can work independently while using consistent, governed data. That wasn’t possible before.

There’s a real sense of optimism across Fannie Mae. People feel the difference.

We’re building real solutions and seeing real impact.

It’s rare to have the opportunity to completely transform how something works. Being part of that transformation has been incredible.

Our mission is to be America’s most valued housing partner—but it was hard to see that impact before. DataOps helped us connect our work to real outcomes, like helping someone get a home.

Getting to this point has been a remarkable journey.

Similar Case Studies

• BNP Paribas achieves faster time-to-market through data automation.
• StoneX automates data pipelines to release faster.
• ADP delivers test data in 30 minutes.

Ready to make data fast, trusted, and AI-ready? Explore what Delphix can do for your business.

Discover Delphix