🎉 Mozart Data raises $15M Series A to decrease time and resources spent on data infrastructure. Read the news.
Learn how data-driven companies are achieving their goals with Mozart’s modern data platform
LeanData Embraces Automation with Best-in-Class Data Stack
Focus: Analytics, Sales
"There's a huge number of people that benefit from Mozart daily, but they're not necessarily in the tool. We have a weekly report that goes out to leadership that's built through Tableau, and that report is ultimately powered by Mozart data. So you know, the transforms run every day and then Tableau is repopulated and those reports are emailed out to whoever needs to see them." - Jonathan Tran, Manager of Data Analytics
How Zeplin Uses the Modern Data Stack to Answer Growth Marketing Questions
Focus: Growth Marketing
“If you believe Marketing is responsible for full-cycle sales, you need to have a ton of fluency in your data, to be able to know who are the people signing up, what are they doing in the application, what package did they buy, when are they going to renew, and so on.” - Jason Feng, Director of Growth Marketing at Zeplin
Craft Ventures Makes Data Nimble for a Time-Sensitive Process
Focus: Finance, Analytics
“Before using Mozart it was a super manual process. We’d get data from all these different sources, we would download them as CSVs, and we’d try to manually combine them to try to get insights across all of them.” - Ethan Ruby, Partner, Analytics
Modern Treasury Efficiently Scales Data Infrastructure Without a Data Engineer
Focus: Product, Finance
“We were unable to answer questions that required data from different places. The alternative [to a modern data stack] would be writing these runtime queries in our BI tool, which is expensive, and also messy to do, because they’re hard to build upon.”- Matt Marcus, Co-Founder and Chief Product Officer at Modern Treasury
QuotaPath Implements an All-in-One Data Stack and Starts Leveraging Data Across the Organization
Focus: RevOps
“Mozart made it super accessible for somebody who's slightly technical enough to write SQL and build dashboards, but not somebody who really wants to maintain a full-fledged ETL layer myself or stand up a data warehouse myself." - Ryan Milligan, Senior Director of Revenue Operations
Rippling Builds Self-Serve Data Culture Through Access and Accuracy
Focus: RevOps, Operations
“Once you build the infrastructure, you can create a self-serve data culture by educating teams on how to ask a good question and answer it themselves. It’s critical to not just rely on the data team to do the work.” - Alex Netsch, Director of RevOps at Rippling