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 why a global retail giant chose Modern Data’s DataOS to manage the data generated by their 1.2 billion online listings. DataOS enabled the client to understand their customers better and improve their overall shopping experience.Download
Leveraging DataOS enabled Modern Data’s healthcare client to keep up with major challenges like changing compliance regulations and advanced treatment options that combined to create a large influx of data that had to be appropriately accessed, stored, and managed.Download
The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We're replacing overwhelm with composability , reinventing governance, and connecting legacy systems to your newest tools. Find out how DataOS can put you on the fastest path from data to decisions.Download
Healthcare organizations face the constant challenge of improving operational efficiency and maintaining the highest standards of patient care. From aging and growing populations to the expanding prevalence of chronic diseases and rapid, but costly, innovations in tools and tech—these are just a few of the developments that are increasing care demand and cost.Download
Supply chains are complex webs that are composed of people, products, and processes. When governed by bad data strategy, each component functions as a siloed node in a linear system operating in a relay. When disasters hit one node, entire systems across the globe can crumble.Download
The modern data landscape continues to increase in volume and variety at an alarming rate. The rise of AI and IOT, unstructured data volume, and increasing external data sources has long shown signs of outgrowing traditional data management systems. The end result is enterprises still stuck in a reactive data strategy.Download
Today, most companies house their data assets in a mix of on-premise, public, and private cloud systems. This hybrid approach poses major challenges for data integration, governance, and security. A data fabric architecture presents an easier path forward by taking the hard work out of data management.
A data fabric architecture is meant to bring together data management functions such as data governance and security management into a single network that connects the organizations breadth of data sources. This separation of data management from specific technologies and enforcing it through a single, dedicated environment creates a more resilient system where new technologies or data sources can be easily connected with minimal disruption and massively speeds up the process of data collection and analysis.
Check out our resources and see how having a data fabric gives you a single consistent data management view.