MATT JACOBSON ICONIQ SERIES

Simultaneously, Monte Carlo’s machine learning-powered platform provides data leaders and other data stakeholders with a holistic view of their company’s data health and reliability for critical business use cases. Simultaneously, data systems are becoming more complex, distributed, and decentralized, widening the gap for data downtime – periods of time when data is missing, erroneous, or otherwise inaccurate, at each stage of the data lifecycle.Īs first defined by the team here at Monte Carlo, Data Observability leverages the best practices and principles of automatic application observability (think: Datadog or AppDynamics) and applies them to data pipelines, giving data engineers and analysts visibility across all data pipelines and data products. Once trust is lost, it’s hard to gain back.Īccording to a recent report from Gartner, data teams spend millions of dollars per year and 40 percent of their time tackling poor data quality, a number only expected to increase as companies become more data-driven. If you’ve been on the receiving end of bad data, you understand the pain: lost revenue, wasted time, and most importantly, lost confidence in data products. In 2021, it’s simply not enough to use data to drive accurate decision making and power digital products - you need to trust it, too.

MATT JACOBSON ICONIQ SERIES

Our Series C establishes us as the first Data Observability company to reach this milestone, a testament to our team’s industry-defining thought leadership, new product releases, and rapid customer growth. With this round, we will fuel the growth of the Data Observability category, further develop our product offerings to better serve our customers, support more use cases, and expand to new markets. I’m excited to share that Monte Carlo has raised $60 million in Series C funding from ICONIQ Growth with participation from Salesforce Ventures and existing investors Accel, GGV Capital, and Redpoint Ventures – bringing our total funding to $101M.

Matt jacobson iconiq