Why data teams choose Monte Carlo.
Learn why customers across industries rely on us for end-to-end data observability.
In 2019 alone, Eventbrite powered over 4.7M events and served more than 949K event creators. Crystal Valentine, Chief Data Strategy Officer, manages a 30-strong team of data professionals tasked with generating accurate insights about these experiences.
“In our remote-first world, Eventbrite gives individuals a new and significant way to make powerful connections and build meaningful communities,” said Crystal. “My team fulfills this mission by leveraging rich, data-driven insights to fuel these experiences and improve our product. To further this commitment to data excellence, we are excited to partner with Monte Carlo to deliver full data reliability across our entire platform.”
Alex Soria, VP of Data & Analytics at Mindbody, is leading the charge with a team of over 25 data scientists, business intelligence analysts, and data engineers responsible for ensuring that the insights powering their product is fresh and reliable.
“Data-driven decision making is a huge priority for Mindbody, but our analytics are only as reliable as the data that informs them,” said Alex. “We are working with Monte Carlo to monitor and alert for abnormalities in the data life cycle that would otherwise go unnoticed until it’s too late. By partnering with Monte Carlo, my team can achieve full data reliability across our pipelines,” Alex said. “Monte Carlo’s field-level lineage for Tableau is out of this world.”
Yotpo, a $1b e-commerce unicorn, works with companies across the world to help customer success and sales teams distribute customer reviews, visual marketing, and referral programs. For Yoav Kamin, Director of Business Performance, reliable data is foundational to the success of this mission.
“Our execs rely on my team’s dashboards to make decisions. With Monte Carlo, we know exactly what to update when there’s a change in our data, so there’s no downtime and no fire drills,” said Yoav. “Our decision makers are happier and I can sleep at night.”
Suvayan Roy, Senior Product Manager at Compass, oversees workflows for the data team responsible for building and maintaining the analytics pipelines for their entire 13,000-person real estate company. Keeping tabs on the upstream and downstream dependencies for their Looker dashboards is top-of-mind.
“Monte Carlo’s monitoring feed to Slack gives me comfort that our data is healthy and everything’s working as designed,” said Suvayan. “And on days where something goes wrong, I know my team will be the first to know and that we’ll be in command of the situation.”
Hippo, a leading home insurance company, leverages data-driven insights and cutting-edge technology to streamline the process of buying homeowner’s insurance and modernizing coverage. Hippo ensures that the data powering their services and delivering excellent customer experiences is accurate and fresh.
“Hippo is revolutionizing the home insurance industry, an effort that is only possible if the data we use to build our products and fuel our operations is reliable, said Neta Gur-Ari Krakover, Senior R&D Manager of Data at Hippo. “Monte Carlo ensures data reliability through their robust data observability engine, giving us visibility into core pillars of data health. With Monte Carlo, I know that our data pipelines are in working order and my executives and partners can trust our analytics.”
The Farmer’s Dog is a leading direct-to-consumer company that’s reimagining how we feed and care for our pets. Having filled tens of millions of bowls (and counting) nationwide, The Farmer’s Dog is keeping its data pipelines as fresh and healthy as the food it delivers. In fact, the two are inextricably linked.
“The Farmer’s Dog relies on data-driven intelligence to power our operations and fuel the growth of our company. As part of this approach, we use Monte Carlo to monitor, identify, and prevent data downtime incidents,” said Rick Saporta, Head of Data Strategy & Insights. “Within minutes of deployment, my team was up and running, and we had full visibility into our data pipelines.”