Altogether, the impact of data downtime costs teams nearly 50 percent of their valuable time and can lead to millions of dollars in wasted revenue. 

The bad news? These root causes of data downtime aren’t going away. As companies continue to invest in data, the number of data sources will continue to grow, pipelines will become increasingly complex, and data teams will scale in size and specialization. 

The good news? Monte Carlo’s new Premier partnership with dataflow automation platform Prefect gives teams the ability to automate complex workflows, monitor for data issues, and resolve incidents faster—saving time while ensuring data reliability across the entire data engineering lifecycle.