Trifacta is the Data Wrangling Solution for Over 7,300 Companies in 143 Countries
Analysts at leading organizations across a variety of industries use Trifacta to more efficiently explore and prepare diverse data for a variety of analytic purposes.
"With Trifacta, we’ve been able to accelerate the existing processes of understanding our data, surface data quality issues, and wrangle data sets in preparation for further analysis. Trifacta provides us with significant productivity gains and help us assess our data more accurately.”
"We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.”
“The data wrangling technology from Trifacta, used in CAADS, empowers data analysts through suggestive data cleaning and data preparation.”
"Our ability to manage and analyze diverse data from many different sources allows us to quickly identify critical events such as fraudulent activity for our Connected Commerce Revenue Cloud™ customers. By incorporating Trifacta and DataRobot into our data wrangling and machine learning operations, we have reduced our data manipulation and model development process from three-to-four weeks to a matter of days."
"The data we leverage is extremely varied and undergoes thousands of updates every second, which makes Trifacta a critical tool for our data scientists. Trifacta accelerates the process of preparing data and allows our data scientists to focus on the analytics that improve the marketplace at Deutsche Börse."
“With Trifacta, our business users have gained a deeper involvement with the raw data, which has accelerated our time to analysis and driven new insights for our business. We're able to gain a better understanding of our data in less time, as well as earlier on in the process.”
“At Flyspan, we’re building a data analytics platform for the commercial drone industry. Trifacta is invaluable to our data analytics process, allowing us to quickly standardize various data streams from disparate sources.”
“Trifacta empowers our team to perform exploratory analysis by allowing our users to discover, transform and analyze a variety of data in new ways to better understand our customers and how they use our products.”
“Google Cloud Dataprep is a new managed data service, built in collaboration with Trifacta, that enables analysts and data scientists to visually explore and prepare data for analysis in seconds.”
“Estimates suggest that by better integrating big data, healthcare could save as much as $300 billion a year — that’s equal to reducing costs by $1000 a year for every man, woman, and child.”
“The ability to rapidly process data of tabular and semi-structured formats is critical to product usage analysis. With one of the largest Hadoop deployments in the world, our data transformation and cleaning process needs to be intuitive, automated and robust.”
“There's a function of Neustar where we have humans discovering things and making judgements, where we will never be able to automate the process. In those cases where human intuition is critical for analysis, Trifacta is critical to us.”
“Updating our national voter file in advance of the 2016 election was a business imperative. Trifacta helped to make that possible by simplifying our data operation and providing dedicated customer support every step of the way.”
"At New York Life, we’re undergoing a modernization of our analytics practices and technology to better leverage data for business-critical initiatives. As part of this effort, we’re investing in self-service data management and analytics technologies. We look forward to partnering with Trifacta on our technology journey."
“Trifacta has allowed us to fundamentally reduce time to market and cost of managing data while demonstrably increasing the quality of our data products."
“Without accurate data, we can’t clearly measure effectiveness of our products. Since using Trifacta, we’ve been able to more easily identify what’s wrong in our data, and quickly transform it for analysis. Instead of worrying about writing scripts correctly, we can select and click, which has improved our time-to-usable data substantially.”
“The ability to rapidly process data of unstructured formats as well as semi-structured formats is critical to our ability to analyze product usage at Orange Silicon Valley. Trifacta’s approach has allowed us to see how we can seamlessly transform a wide variety of data and serialized formats.”
“We’re able to quickly define how each inbound data set must be prepared in Trifacta and the solution automatically reproduces those wrangling recipes across massive volumes of data according to the schedules we define. This saves us a huge amount of manual work and reduces the risk of introducing errors during the process.”
“Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.”
“Data is a driving force behind our business, and we’re confident that with Trifacta we have found a tool that will empower us to drive further innovation with our data initiatives.”
“With Trifacta, we’re excited to be able to dramatically shorten the time from getting this raw data to uncovering insights, and ultimately act on those insights to drive value for our business faster.”
“With Trifacta as a partner, we are on our way to building a world-class data capability that will help us better understand and better serve our customers.”
“Trifacta is a core part of our success because it gives the Infrastructure Management Team the ability to manage large, diverse data sets and wrangle them into the formats we need for analysis.”
“At Zendesk, we handle millions of customer interactions for our clients on a daily basis. Trifacta Wrangler presents an exciting new approach that empowers data scientists and analysts to explore and transform data for broader interpretation and visualization.”
"Each key event in the customer cycle, we have to capture that information and make it available immediately. And we can now analyse everything from flood patterns to driving patterns, with sensors on aircraft and cars – big data is about using as much of that information as quickly as possible to make the right decisions about risk."