Read how the largest wine and spirits distributor in the US leveraged DataOS to optimize sales and marketing operations and to increase the value of their advertising inventory. Within six weeks, Modern Data helped establish a single source of data, centralized governance, data discovery, real-time data and processing, and the ability to securely syndicate.Download
See how Modern Data helped a billion-dollar logistics client make the shift to digital with DataOS, providing a single source of data, data discovery, real-time data, and processing. This transformation enabled the client to showcase real-time status of their shipment to their customer.Download
Discover how, within six weeks, Modern Data helped one of the largest multinational pharmaceutical organizations in the world integrate data from multiple data sources, automate data quality and audit trails, and enable researchers to efficiently find and analyze drug development data.Download
Today's systems have transformed into complex, open-source, and cloud-native services with no signs of stopping — distributed teams continue to develop and deploy at lightspeed. Within these systems, engineers may not always be able to identify broken links in the chain. This has resulted in the idea of "data observability" that includes monitoring, tracking, and triaging incidents to prevent downtime of the systems and around several factors such as freshness, distribution, volume, schema, lineage.