SAN FRANCISCO, CA -- (Marketwired) -- 02/04/14 -- Trifacta, a Data Transformation Platform provider, today announced the general availability of the Trifacta Data Transformation Platform. Using visualization, machine learning methods and a unique Predictive Interaction technology, Trifacta's platform removes a critical bottleneck in the Big Data stack -- turning raw data into a usable form. Trifacta also announced the addition of Lockheed Martin and Accretive Health as customers.
See Trifacta's Data Transformation platform in action here.
Currently, data scientists, IT programmers and business analysts must work through the time-consuming challenge of transforming raw data into workable inputs for their analytic tools. Data scientists spend as much as 60 to 80 percent of their time just transforming data rather than focusing on finding insights. This human bottleneck is hindering the ability of enterprises to extract value from data. By the end of 2015, Gartner estimates 85 percent of Fortune 500 companies will not be able to exploit Big Data's advantages. The Trifacta Transformation Platform clears the bottleneck and allows analysts to work much more productively and with greater agility.
"Trifacta's Data Transformation Platform is helping to greatly streamline the process of preparing data. Work that would have taken six weeks, now can take as little as a day," said Ravi Hubbly, senior principal architect at Lockheed Martin. "My team has been able to both shorten the data lifecycle and get a better view of the data."
Trifacta's Data Transformation Platform uses Predictive Interaction technology to elevate data manipulation into a visual experience, allowing users to quickly and easily identify features of interest or concern. As analysts highlight visual features, Trifacta's predictive algorithms observe both user behavior and properties of the data to anticipate the user's intent and make suggestions without the need for user specification. As a result, data transformation becomes a lightweight experience that is far more agile and efficient than traditional coding or manual manipulation.
"With Trifacta, the time needed to be able to wrap your mind around the data is surprisingly low. The platform proactively notifies me that there is value in my data set that I might not have seen. The result is a very smooth workflow," said an Accretive Health representative.
"Our IT departments routinely collect detailed log data from across the infrastructure to aid in everything from failure prediction to planning and design. Translating those logs into workable data is a heavy lift, takes a great deal of extra IT cycles and slows the process considerably," said Dr. Narayanan (KK) Krishnakumar, vice president and chief IT architect at EMC Corporation. "Our teams are looking at technologies, including Trifacta's solution, to help reduce these cycles and enable product teams to work more closely with the data, a shift that is becoming increasingly attractive."
Trifacta has raised a total of $16.3 million in funding in a Series A led by Accel Partners and a Series B led by Greylock Partners and Accel Partners. Computer science professors, Joe Hellerstein of the University of California Berkeley and Jeffrey Heer of the University of Washington, and Stanford University Ph.D. Sean Kandel developed the Trifacta Data Transformation Platform to focus on the human element of the data stack.
"We have seen exponential progress in data technologies, from sensing to storage to analysis, but the human element has long been overlooked. In the Big Data era, this problem has gone critical. People have become the chief bottleneck in the field -- both organizationally and technically," said Joe Hellerstein, CEO of Trifacta. "To clear the bottleneck, we embedded recent advances in machine learning and data visualization into a user experience. The result is Predictive Interaction and a platform that maximizes the benefits of human and machine intelligence."
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Trifacta Raises $12 million to transform how people work with data
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Trifacta, the pioneer in data transformation, significantly enhances the value of an enterprise's Big Data by enabling users to easily transform raw, complex data into clean and structured formats for analysis. Leveraging decades of innovative work in human-computer interaction, scalable data management and machine learning, Trifacta's unique technology creates a partnership between user and machine, with each side learning from the other and becoming smarter with experience. Trifacta is backed by Accel Partners and Greylock Partners.