Trifacta Accelerates Momentum, Reports Record Growth in 2016

Strong adoption of leading data wrangling platform drives over 4X growth in bookings; Number of enterprise customers triples

Trifacta today announced it ended 2016 with record momentum. The company closed out the year with 4X growth in bookings and more than triple the number of enterprise customers. Trifacta Wrangler is now used by tens of thousands of users at more than 4,500 companies in 135 countries around the globe.

Customer Growth

Since expanding in late 2015, opening offices in London and Berlin, Trifacta has seen strong growth in Europe, gaining a substantial foothold across a broad spectrum of industries including the financial services industry. Europe’s largest financial services brands, including Munich Re, Nordea, Santander, Royal Bank of Scotland, Luxembourg Stock Exchange, UniCredit and Enstar now wrangle their data with Trifacta.

At Enstar, accurately assessing claims and policies requires our team to analyse a huge variety of data. Under traditional tools and processes, our business analysts were restrained from working directly with this data because of their dependency on IT. 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 tremendously excited about the new levels of business value we can drive from being able to gain a better understanding of our data in less time, as well as earlier on in the process. Moving forward, we’ve planned for company-wide adoption of Trifacta as one of our core technologies enabling self-service,” said Mark Bendall, lead program architect, Enstar.

Additional customer wins in 2016 come from leading global organisations, across a broad range of industries, such as manufacturing, telecommunications, health care, as well as large government agencies and include: Banco Santander, Bell Canada, Centres for Disease Control and Prevention (CDC), eBay and Rank Group Limited, among others.

Additional company milestones in 2016 include:

  • Product Innovation: Trifacta launched Trifacta v4, the most significant release since the launch of the company, enhancing user experience, improving performance and scale, and providing extended cloud deployment and data source connectivity. Trifacta also upgraded the free Wrangler edition of its product, to include features from the v4 release of Wrangler Enterprise. 2016 also saw the release of Wrangler Edge, a new offering designed for analyst teams wrangling diverse data outside of big data environments. Additionally, Trifacta delivered the Photon Compute Framework, developed specifically to provide a richly interactive and computationally intelligent data wrangling experience while improving the scale of data that users are able to wrangle on-the-fly.
  • Partner Ecosystem Success – In 2016, Trifacta launched the Wrangler Partner Program, a global program whose ecosystem has now reached over 80 resellers, consulting and technology partners including Cloudera, Hortonworks, MapR, Infosys, WiPro, Leidos, Qlik and Tableau.
  • Industry Recognition: Trifacta was selected as the Dresner Advisory Services 2016 Technology Innovation Award winner in the End User Data Preparation category for the second consecutive year. Trifacta was also selected as champion and top vendor in the 2016 Self-Service Data Preparation & Cataloguing Market Update by Bloor Research, named the 2016 Top End User Data Preparation Vendor by Dresner Advisory Services for the second year in a row, named to The Channel Company’s 2016 CRN® Big Data 100 list, and selected as a Delta-V Award winner for the big data platforms category by Enterprise Strategy Group (ESG).
  • Customer Recognition: Nordea was awarded the Cloudera Data Impact Award for implementing a Cloudera data lake architecture in conjunction with Trifacta to produce, report and monitor core data faster and with better quality management, while reducing operating expenses significantly. Additionally, Royal Bank of Scotland won two prestigious awards in 2016 – a ScotlandIS Digital Technology Award and a DataIQ Talent Award – for its work in transforming customer service through the use of Trifacta.
  • Expanded Investment: In February 2016, Trifacta raised $35M in growth-stage financing from existing investors Accel Partners, Greylock Partners, Ignition Partners and new investor Cathay Innovation. More recently, Trifacta also received strategic investments from Infosys and IDG Enterprise. The new funding brings the company’s total amount raised to more than $80 million, fueling the growth of Trifacta’s global field organisation and the continuing innovation of its award-winning products.

Gartner analysts state, “By 2020, 85% of new BI platform spend by large and midsize organisations globally will be on modern BI platforms that allow all users, including IT, to rapidly build analytics content to meet the demanding time to insight and changing data needs of users. Until now, data preparation has been a major road block to achieving agile and pervasive analytics. Similar to the increasing use of modern BI because of its ease of use and agility, an increasing percentage of new data integration initiatives for analytics will be implemented using agile, self-service data preparation versus existing data integration approaches, particularly as these capabilities mature and become more enterprise capable.”

2016 was a tremendous year for Trifacta. The growth in new customer adoption, in conjunction with existing customers expanding usage to additional business units and use cases, is testament to the value these organisations are able to realise from data wrangling,” said Adam Wilson, CEO, Trifacta. “According to IDC, the market opportunity for big data and analytics will grow to more than $187 billion by 2019. Self-service data wrangling is essential for empowering end users and enabling organisations to turn big data into a strategic asset. This year, we will continue innovating to improve the way people work with data, delivering the most productive data preparation solution for any data, regardless of the shape, size or location.

Author: Dylan Jones

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