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Showing 351 - 360 of 11269 results
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type.
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As leading industry analysts Gartner suggest, considering the increasing volume of data to be managed nowadays inside the organizations, it is time to stop “collecting” the data into a central repository and start “connecting” to the data at the sources. The rise of new data architectures paradigms, as the Logical Data Fabric, facilitates this approach by gaining a virtual view of the data.
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Panelists: Cedric Fillmore, Data Practice Director, Onebridge, Marc Hobler, Director - Information & Analytics, Mainline Information Systems and Michael Roberts, Practice Lead, Newcomp Analytics; Moderator: Fred Baradari, Federal, Partner & Channels Sales Director, Denodo
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Panelists: Deb Mukherji, Practice Head - Data & Analytics (ASEAN & North Asia), Tech Mahindra, Emil Capino, President and Founder, Info Alchemy, Vikram Kole, Business Head, Mastek; Moderated by: Chris Day, Director APAC Sales Engineering, Denodo
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Presented at the 2023 Data Analytics for Healthcare Summit in Toronto, Ontario.
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Federal agencies have the tools and resources to use data in critical decision-making processes. Collecting, storing, and analyzing data offers countless benefits to federal agencies, including deeper insights, accelerated mission effectiveness, and more efficient operations.
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Panelists: Yannick Bruck, Chief Technology Officer, Fujitsu, João Caldeira, Business Manager, Keyrus and Raheel Khan, Chief Business Officer, Edgematics; Moderated by: Mark Pritchard, Director, Regional Sales Engineering, Denodo
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Presented at CDAO Online A/NZ
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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.
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