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Customer Case Study: UCB

UCB is a global biopharma company well known in the field of immunology and neurology. UCB wanted to build data centric business use cases such as a 360 degree view of the customer, trend analysis in hiring, efficient resource allocation etc. It also wanted to move away from a ETL classical approach for solving its data integration challenges which included pulling data from multiple sources. In this video, Salvatore Cutolo, Senior Director, Head of IT Analytics CoE and Application Services, UCB goes into detail about their data virtualization use case.This customer case study video will...

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Denodo Platform for Azure

Microsoft Azure is an ever-expanding set of cloud services to help meet your business challenges and cloud computing needs. The Denodo Platform for Azure helps accelerate the cloud journey by supporting a variety of use cases and simplifying integration across the disparate data sources on-prem and in the cloud, using a hybrid architecture design.Download this solution brief to learn about: Getting started with the Denodo Platform for Azure.The benefits and use cases of the Denodo Platfom for Azure.The deployment options, support data sources and high level architecture.

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Denodo & Looker - Enabling Real-Time Business Decisions with a Modern BI Solution

The combination of Denodo and Looker delivers a modern BI infrastructure built on the foundation of a logical data warehouse. By leveraging templated Looker Blocks for various data sources, getting started with analysis is amazingly fast.Download this solution brief to understand:The benefits of combining data virtualization with data analytics.The data architecture of the Denodo data virtualization platform and the Looker data analytics platform.How Denodo and Looker work together to deliver value to customers such as Ultra Mobile.

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Logitech Case Study: Successful Cloud Modernization with Denodo in the Cloud

For several years, Logitech had been developing and delivering data services for analytics using on-premises systems. But provisioning data services for business users has been reactive, time consuming, and inefficient. The company’s modern product and service offerings, such as security video analysis and smart home devices, required predictive analytics, real-time data analytics, and cognitive science. To gain these capabilities, and be able to offer the right service to business users at the right time, Logitech wanted to move IT operations to the cloud. Cloud technology would empower IT...

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