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Within the Leidos CAADSTM platform, Trifacta provides a powerful way for data analysts to wrangle diverse health and business data

Trifacta, the global leader in data wrangling, today announced that Leidos (NYSE: LDOS), a FORTUNE 500® science and technology company, has chosen Trifacta as the data wrangling solution for the Leidos Collaborative Advanced Analytics & Data Sharing (CAADSTM). Leidos leverages Trifacta within CAADSTM to enable government agencies to wrangle biomedical data for more effective analysis within healthcare and life sciences.

“The CAADSTM platform provides an end-to-end solution for predictive analytics in healthcare,” said Ravi Hubbly, vice president of data analytics products and services, Leidos. “With Trifacta, the collaboration provides intelligent and interactive self-service data preparation to our customers that has accelerated their overall time to analysis, and uncovered new opportunities for CAADSTM.”

Leidos provides innovative solutions to meet the challenges that today’s federal agencies face. Leidos recognized that data wrangling was a critical aspect of the analytics process for its customers and selected Trifacta as the data wrangling solution within its CAADSTM platform. Trifacta and Leidos collaborate to provide data wrangling and analytics solutions to a growing number of government agencies, including the U.S. Mint, NASA and the Centers for Disease Control (CDC) among others.

“It’s becoming increasingly apparent that data wrangling solutions are a foundational component of a modern analytics platform. Within the Leidos CAADSTM platform, Trifacta provides a powerful way for data analysts to wrangle diverse health and business data with clicks instead of code,” said Adam Wilson, CEO, Trifacta. “As we’ll discuss in our presentation at Strata, this joint solution we’re bringing to market with Leidos is delivering new breakthroughs in how federal agencies like the Centers of Disease Control are able to utilize information to serve the public interest.” 

Trifacta and Leidos will be highlighting their collaborative solution at the Strata Data Conference in New York. The joint presentation with the CDC will showcase how the organization leverages Trifacta within CAADSTM to monitor the outbreak of HIV as it relates to the opioid epidemic occurring across the country.

Session: Tracking the Opioid-Fueled HIV Outbreak with Big Data
Speakers: Ells Campbell, Health Scientist, CDC; Connor Carreras, Manager for Customer Success, Trifacta; Ryan Weil, Chief Scientist, Leidos
Location: 1A 01/02
Date: Wednesday, September 27
Time: 2:55pm ET

Dr. M. Ryan Weil, a chief scientist at Leidos, will outline the CDC’s approach to the data inference, characterization and visualization processes that are being pioneered by The Microbial Transmission Network Team (MTNT) and explain how the CDC has leveraged the CAADSTM platform including Trifacta to execute their analysis. Connor Carreras, a customer success manager at Trifacta, will demo how MTNT leverages Trifacta’s data wrangling solution to perform deeper exploration and more efficient transformation of complex epidemiologic data.

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About Trifacta:

Trifacta is the global leader in data wrangling. Trifacta leverages decades of innovative research in human-computer interaction, scalable data management and machine learning to make the process of preparing data faster and more intuitive. Around the globe, tens of thousands of users at more than 8,000 companies, including leading brands like Deutsche Boerse, Google, Kaiser Permanente, New York Life and PepsiCo, are unlocking the potential of their data with Trifacta’s market-leading data wrangling solutions. Learn more at

About Leidos

Leidos is a Fortune 500® science and technology solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 32,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $7.04 billion for the fiscal year ended December 30, 2016. For more information, visit

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