Resources about The Modern Data Fabric.
Learn how DataOS helped Modern Data’s customer reduce time in collecting and understanding data from multiple and varied sources, speeding up data analyses. Business teams are now able to focus more on data insights and also syndicate data-to-data destinations without worrying about data security.Download
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
Bogged down by multiple systems that produce large amounts of valuable data to inform decision-making and provide transparency to stakeholders, large government agencies can rely on DataOS to rein in large volumes of data while simultaneously ensuring data quality, data security, and flexible governance.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
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
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
Discover how DataOS helped a customer’s marketing teams create a true omni-channel view of their customer base that is updated in real-time by leveraging DataOS’s streaming pipelines to ingest multiple sources of customer data simultaneously. Based on user profiles, the customer can now suggest personalized products to the right user.Download
Digital transformation requires trusted and timely data, but all too often governance policies meant to protect data end up blocking access for users who need it most. This prevents teams from moving or acting quickly, creates missed opportunities, and can even give rise to shadow IT. Any organization with an eye on leading their industry must have a data governance strategy that can accommodate access to trusted data in real time for all users who need it
Data governance often conjures up the idea of some central authority instituting a “culture of no,” but in reality it can be a powerful engine to scale the use and distribution of trusted data pipelines throughout the company. Data governance strategies should be able to meet the complex needs of modern companies. Data governance strategies should also enable organizations to develop and deliver trusted data to the right users in the right format and right time to harness business value. At the same time, with data governance in place, companies can confidently ensure data privacy, proactively complying with regulations, and allow easy collaboration with data professionals in every function.
A data governance strategy that delivers trusted data at the speed of business is possible.
Download the Definitive Guide to Data Governance for insight into: