Reflections on a Record 2017, Looking Forward to a Great 2018

Nick Elprin2017-01-25 | 4 min read

Return to blog home

By Nick Elprin on January 25, 2017 in Perspective

2017 was a big year for data science, and for Domino. It’s hard to believe January 2018 is already almost over. Before pressing forward into another month, and another year, I want to pause for a moment to reflect on the incredible journey we’ve been on.

Data science became a very real market in 2017, as evidenced by Gartner’s Magic Quadrant Report for Data Science Platforms. We at Domino saw triple-digit revenue growth—earning business from clients like Dell, T. Rowe Price, 84.51, WPP’s Mindshare, Postmates and Survey Monkey—while existing clients, according to the 2017 MQ Report, “identified Domino’s customer support and collaboration features as particular strengths. Domino’s customer satisfaction scores for collaboration features were among the highest of any vendor.”

Organizations of all shapes and sizes are embracing data science and investing in the people, processes and technologies necessary to make it a core competency. There are certainly some big challenges in scaling data science in organizations—which we’ve been working with our customers to overcome. And some even deeper challenges exist that we look to uncover through insights from the Data Science Management Survey we’ve been running. (Those insights will be shared publicly in the next month or so.) But the opportunity for organizations across every industry to become model-driven – and more importantly drive quantified, differentiating business impact – is within reach. And we’re excited to be helping these organizations push the envelope.

To support the increased market traction, we roughly doubled our team and built out our executive staff with key hires to lead the charge for Products, Engineering, Marketing, Business Operations and Business Development. And we are still growing rapidly, looking to grow our team with talented, driven folks who want to advance data science. Check out our careers page to learn more.

I’m also thrilled to be hosting Rev this year: an industry conference bringing together today’s and tomorrow’s leaders in data science. The two-day event, taking place May 30-31 in San Francisco, will be highlighted by world-recognized data science leaders and help attendees learn skills, technologies and best practices to drive their organizations to become model-driven. Of course, we will also unveil exciting new Domino capabilities too. We look forward to seeing you there!

Finally, I want to quickly introduce the channel of this post: our new corporate blog. We at Domino have pretty strict requirements around the content that’s posted to our data science blog. It must enable, help, or support data scientists and/or data science leaders in their data science work or career. But as our company, product and the industry progresses, we saw a need for a new channel where we can share information about things like market trends, Domino vision and product news, partnerships, career opportunities, events and more. That’s what this new Domino Corporate Blog is for. We invite your comments and feedback about the content that is posted here. Hopefully it’s valuable.

We’ve entered 2018 with unprecedented momentum, market demand, and a really strong team. It’s humbling, gratifying and very exciting. What excites me most for 2018 is continuing to help our customers set the new standard for model-driven businesses and empowering them with new, groundbreaking product capabilities to enhance that journey.

Twitter Facebook Gmail Share

Nick Elprin is the CEO and co-founder of Domino Data Lab, provider of the open data science platform that powers model-driven enterprises such as Allstate, Bristol Myers Squibb, Dell and Lockheed Martin. Before starting Domino, Nick built tools for quantitative researchers at Bridgewater, one of the world's largest hedge funds. He has over a decade of experience working with data scientists at advanced enterprises. He holds a BA and MS in computer science from Harvard.



Subscribe to the Domino Newsletter

Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.


By submitting this form you agree to receive communications from Domino related to products and services in accordance with Domino's privacy policy and may opt-out at anytime.