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Business Wire India

Denodo, the leader in data virtualization, today announced a record attendance of nearly 1,800 at its annual user conference, DataFest 2020 which was held across the NA, EMEA, and APAC regions. This year’s virtual DataFest events hosted some of the most well recognized data luminaries and subject matter experts, who immersed themselves in topics such as hybrid/multi-cloud strategies, cloud data integration, data science and AI/ML, among others. Attendees made up of Denodo customers, partners, and analysts chose the winners of Denodo’s annual Data Innovation Awards at each event, to recognize some of the exemplary use cases of logical data fabric created with data virtualization technology as the foundation.

 

All of the session presentations are now available for on-demand viewing, here.

 

“Our heartiest congratulations go out to all the winners and finalists of our Data Innovation Awards,” said Ravi Shankar, senior vice president and chief marketing officer at Denodo. “Recognizing these customers is the least we can do, as these organizations and individuals set the standard for the future of data management and exemplify some of the best use cases of logical data fabric. As we push the envelope with continuous product innovations, our customers showcased how those advancements can be put to work for even more impressive and valuable use cases.”

 

Like past events, this year included an esteemed panel of subject matter experts, who distilled through a slew of customer use cases to choose the finalists for each Data Innovation Award. All Denodo customers were considered for the Data Innovation Award with the winners acknowledged for demonstrating best practices, business impact, and novel implementations. The selection process highlights the many innovative uses of data virtualization at actual customer sites and provided attendees with metrics to validate its importance.

 

“I am absolutely thrilled to receive this year’s Data Innovation Award for the EMEA region,” said Olav Lognvik, Solution Architect at DNB. “Denodo has been the central piece in our cutting-edge data platform that supports data science use cases such as the one for mobile banking. We are glad to be able to share our success story with hundreds of data virtualization enthusiasts and as we broaden our use cases of the Denodo Platform, we hope to share more success stories in the future.”

 

Winners and finalists of the Denodo Data Innovation Awards 2020 include:

 

North America – Winner Lauren Cordova from Panasonic, for its connected car IoT/Edge and cloud analytics use case; finalist Ryan Thompson from Prologis, for their logical data lake use case.

 

EMEA – Winner Olav Lognvik and Christian Dancke Tuen from DNB, for its data science for mobile banking use case; finalist Tekin Mentes from LeasePlan, for their global data hub for fleet management use case.

 

APAC – Winner Joshua Fletcher from BHP, for its multi-cloud data fabric for global resource management use case; finalist Johan De Coning from Silver Chain, for their Healthcare with hololens and incident management system use case.

 

Please tweet: News: #datavirtualization leader Denodo announces the winners of its 3rd annual Data Innovation Awards during #DenodoDataFest 2020. Audience vote @Panasonic, @BHP and @DNB for the most innovative use cases.

 

About Denodo

 

Denodo is the leader in data virtualization providing agile, high performance data integration, data abstraction, and real-time data services across the broadest range of enterprise, cloud, big data, and unstructured data sources at half the cost of traditional approaches. Denodo’s customers across every major industry have gained significant business agility and ROI by enabling faster and easier access to unified business information for agile BI, big data analytics, Web, cloud integration, single-view applications, and enterprise data services. Denodo is well-funded, profitable, and privately held. For more information, visit http://www.denodo.com or call +1 877 556 2531 / +44 (0) 20 7869 8053.

 

 


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