Informatica

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Prologis Leverages the Denodo Platform and Snowflake to Modernize and Accelerate Analytics

Prologis manages a wide breadth of real estate assets across the globe, which translates into a staggering amount of data in a variety of languages and stored in a variety of geographically dispersed sources. Every day, Prologis needs to integrate this vast amount of data to operate its business effectively.For more information on how Prologis used the Denodo Platform, visit their customer page

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DataFest 2019 NY Innovation Award: GE Capital Treasury

Attend this session to hear some of the most innovative use cases of data virtualization. Includes three customer case study presentations – get a chance to vote for most innovative use case to select the winner for this innovative award category.

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Customer Keynote - Data Virtualization to Modernize and Accelerate Analytics - Prologis

Denodo customer presentation by Luke Slotwinski, VP, Data & Analytics at Prologis.

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Mergers and Acquisitions Made Easy (And Successful)

Leverage data virtualization for seamless M&A that deliver expected gains.Companies engage in mergers and acquisitions (M&A) to gain new capabilities, reduce operational costs, eliminate competitors, and enter new markets. Unfortunately, most M&A eff orts fail to deliver the results that upper management expects.One reason for this high failure rate is that M&A activities need to be resolved as quickly as possible, since they carry a cost, yet they require complex integrations at the technology level, which take time. Employee and customer data, sales processes, and financial...

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Modernizing Data Architecture using Data Virtualization for Agile Data Delivery

In this session, Dave Kay, Data Consultant within the Analytics and Architecture group at Zurich Insurance, explains how Zurich is modernizing their data infrastructure using data virtualization to accelerate delivery of mortgage insurance and intra-day operational reports to business analysts, salespeople, underwriters, managers, and actuarial staff.

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