Denodo Platform

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Data Virtualization Deployment in a Leading Information Services Company

Oil companies are finding it increasingly challenging to maintain their profit margins for multiple reasons including difficulty in accessing new reserves and fluctuating economic and political conditions. With global recession and slow growth conditions further moderating oil prices, energy companies need to find other ways to improve revenue; they need to become more efficient.

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Global Retail Firm Automates Competitive Data Extraction from the Web Using Denodo Data Virtualization

A leading global retailer was looking to strengthen its product and pricing strategies by leveraging competitor product and pricing data available on the web, but faced challenges in scaling the manual data acquisition process. So, the company deployed Data Virtualization to automate the extraction of competitor web data and to combine it with historical data to publish reports that drive decision-making. As a result, the company reduced resource costs, increased revenue opportunities and strengthened decision-making.

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Denodo Platform 5.0 Broadens Enterprise Use of Data Virtualization with Linked Data Services

Latest Version Provides Easier Way for Users and BI / Application Developers to Discover and Consume Any Enterprise Data AssetGARTNER BUSINESS INTELLIGENCE & ANALYTICS SUMMIT, March 19, 2013, GRAPEVINE, TX, Booth #224 -Denodo Technologies, the leader in data virtualization, today announced the immediate availability of the Denodo Platform 5.0. The latest version of Denodo´s award winning Data Virtualization solution is the industry’s first technology platform that opens Data Virtualization to broader enterprise-wide use across agile business intelligence, Big Data analytics and agile...

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Why the Denodo Platform?

The Denodo Platform delivers breakthrough performance in big data, logical data warehouses, and operational scenarios; it accelerates adoption with data virtualization in the cloud; and it expedites the use of data by business users, with self-service data discovery and search.

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