Organizations are increasingly investing heavily in data-driven initiatives, looking to leverage data from various sources to aid in decision making. This approach has its own set of difficulties, including dealing with data downtime, during which data can either be inaccurate or erroneous. To address this challenge, Monte Carlo Data has now taken a leap forward by integrating with Fivetran to create a no-code solution for end-to-end observability for data pipelines.
Monte Carlo Data, founded in 2019, is a provider of automated data observability capabilities for enterprises. By integrating with Fivetran, a major player in data ingestion, their customers can now monitor the health of their entire data pipelines, enabling them to detect data issues quickly and take steps to mitigate them. This move makes Monte Carlo a leader in the field of automated data observability, competing with similar providers like Acceldata and BigEye.
This new integration has already been beta-tested by multiple enterprises, including Backcountry.com, Checkout.com and MasterClass. Companies utilizing the integration have reportedly seen a reduction of data incidents by nearly 90% and saved up to 100 hours per quarter in data engineering time spent detecting and resolving data quality issues.
The joint customers of Monte Carlo and Fivetran will also benefit from real-time notifications of issues surfacing within the Monte Carlo UI and appearing as alerts in collaboration platforms such as Slack and Microsoft Teams. In this way, users can gain quick access to all the information and context, such as Fivetran logs, that they need to address problems before they have a major business impact.
Monte Carlo and their solution are highly favored by top executives and business leaders. With that in mind, the company is hosting an event on July 11-12 in San Francisco for those interested in learning more about using and integrating AI investments for success. Attendees should expect to gain expert insights on how to optimise AI investments and leverage data into achieving successful and profitable outcomes.
