Case Study

Tempus: How We Turned Terabytes of Healthcare Data Into an Automated, Predictive Insights Machine

 

Tempus is one of the fastest-growing healthcare startups in the world. Tempus’ data capabilities are growing so fast and becoming so complex that they are pushing the limits of their cloud providers. In some cases, a single data file takes eight hours to process, and some are too big to be run in a single operation.

Using Amazon Web Services (AWS), we helped Tempus accelerate its product development and data processing capabilities by automating and systematizing its core data activities into a repeatable process that is now reused across the organization.

The result: Tempus increased the speed of adoption for its data platforms because now internal teams have a standardized, repeatable process for ingesting massive data sets.

First, We Automate, Then We Scale

What makes data valuable? It’s not volume; it’s speed and data relevancy!  The faster the data throughput you have, the more valuable the data is.

To accomplish fast data throughput, we focused on automating core processes in their bioinformatics organization. We developed standardized tools to ingest and process terabytes (yes, terabytes) of data so that anyone within the organization can utilize them in other parts of the organization.

The result was significantly faster data processing. 

The next phase is to scale this platform to other parts of the organization.

0–60 In Six Weeks

We have an internal saying: “Big bang is a big bust, ” and we mean it. What we don’t need is a 3–6 month project plan. We need to get tools into our clients’ hands as soon as possible. 

And we did exactly that. Together with Tempus, we implemented a first-of-its-kind bioinformatics software proof-of-concept for one of Tempus’ largest clients on a tight deadline.

 

The best part: We did it in under six weeks.

Similar to Tempus, Prime TSR deploys experienced engineering leaders to build software and grow capabilities. 

We utilized two small, agile, and highly technical Prime TSR teams to lead the first implementation of this new data standardization.

This implementation accelerated the transition to Tempus’ target architecture, and our implementation code is being used as a standard for the rest of the organization to reuse for additional projects. 

Beating Cancer Starts with Precision Medicine

Tempus knows a lot about being the first in healthcare, and so do we.

We were the first to build two applications using a newly-developed data technology for Tempus’ bioinformatics and laboratory information management system (LIMS) teams.  

As part of our work with the bioinformatics team and their LIMS teams, we made it easier for them to analyze genes for cancer diagnosis with the freshest data possible.

The (Data) Scientists Know Best

Tempus employs some of the greatest and brightest data scientists in the world to accelerate cancer research. The most important thing for data scientists is that their complex data models are accurately represented in the new applications. 

Our experienced executive consulting team worked directly with the Chief Data Officer and other senior data scientists to develop applications to turn their data models into real, usable, production-ready software.

Speed Is The Game, Prime TSR Is The Name

Does your organization produce gigabytes or terabytes of data? Are you investing in your product development? Do your teams move quickly, or maybe they don’t move fast enough?

We’ve proven our ability to work alongside one of the fastest-moving companies in the world and served as a showcase for the internal teams on how to accelerate the creation of new data products.

We’d love to help you do the same.