Case Studies

Resources about The Modern Data Fabric.

CASE STUDY

Global Design and Architecture Firm Optimizes Space Utilization Data using Modern Data’s DataOS

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.

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CASE STUDY

$20 Billion Alcohol Distributor Increases Revenue Through Their Digital Channels with Modern Data’s DataOS

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.

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CASE STUDY

Major American Healthcare Firm Enriches their Data Quality Deploying The Modern Data Company’s DataOS

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.

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CASE STUDY

Life Sciences Company Reduces Data Product Generation Time and Cost by 63% with Modern’s DataOS

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.

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CASE STUDY

Global Logistics Company Transforms Shipment Tracking using Modern DataOS

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.

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CASE STUDY

Global Retail and E-commerce Firm Improves Shopping Experience of its Customers using The Modern Data Company’s DataOS

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.

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CASE STUDY

Global Retailer Leverages Real-Time Omni-Channel Customer Insights with The Modern Data Company’s DataOS

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.

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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

This isn't impossible. In fact

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.

Develop your data governance strategy

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:

  • How data governance will save you time, money, and resources
  • How to choose the best governance model for your needs
  • 3 steps to delivering data you can trust at any scale
  • Tips for building a data team and a data-driven culture
  • Want to see how DataOS solves your specific integration and data management challenges?

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