Manufacturing

Showing 1 - 10 of 15 pages tagged with: Manufacturing

Accelerating Transformation in Manufacturing with Data Virtualization

How data virtualization can unlock operational excellence and innovation in manufacturing

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Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer

Panel by Dave Nixon, Enterprise Data Account Executive at Denodo; Darrin Joncas, Managing Partner at W5; Dr. Sathyan Munirathinam, Senior Manager at ASML; and Dimuth Samaranayaka, Executive Manager, Data Analytics at Hastings Deering; and moderated by Joanne Friedman PhD., CEO|Principal, Smart Manufacturing at Connektedminds Inc.

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Reduce Supply Chain Friction through the Power of Integrated Data

Nobody needs to tell organizations dependent on supply chains that recent times have been full of uncertainty. Disruptions, economic challenges, global crises, and sudden changes in consumer demand continue to test resilience and agility. Supply chains today are complex and global, often involving hundreds, if not thousands, of suppliers and products at different stages of the journey from raw materials to finished goods in the hands of customers. However, data is distributed everywhere across global supply chains, and it is not always accessible, usable, up-to-date, or well governed....

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Realizing the Promise of Self-Service Analytics in Manufacturing

Data virtualization is empowering business analysts in manufacturing enterprises to gain real-time access to integrated data across the entire organization

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Toyota-Astra Motor Leveraged the Denodo Platform to Simplify its Data Landscape and Achieve a Single Version of the Truth

PT Toyota-Astra Motor (TAM) is a distributor of Toyota vehicles in Indonesia and currently the market leader in the Indonesian automotive industry. TAM wanted to simplify its complex data management landscape, reduce the time-to-data for its multiple operational reporting requirements, and eliminate the need for shadow IT.This customer case study will cover: ­Company's business challenge ­How they used data virtualization to address their business challenge ­ ­Why they chose the Denodo platformWhat the benefits of data virtualization are in their particular case

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DataFest 2019 EMEA Innovation Award: Schaeffler

Throughout his professional career, Manuel Lopez has held various engineering positions in multiple companies. Currently, he works as a Data Architect at Schaeffler. Manuel holds a Ph.D. in Computer Science. For more information about Manuel, visit his LinkedIn profile. https://www.linkedin.com/in/lopencarma/.Visit Denodo DataFest 2019 to watch all the sessions on-demand.

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Customer Case Study: Schaeffler

In this video, Dr Jürgen Bohn, Head of Innovation Cluster Artificial Intelligence at Schaeffler explains how data virtualization helped them achieve their mission to provide a holistic view of all enterprise information for end users. They are now able to provide up to date and relevant information to improve the quality of decision-making and have achieved cost savings by optimizing business processes.

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Data Innovation Award - McCormick

Terry Moon, Enterprise Information Architect presents their data virtualization use case for machine learning at McCormick.

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Data Virtualization Powers the Data Revolution at Festo

To continue the innovation that has always been at the forefront for Festo, the company needed to optimize operational efficiency, automate manufacturing processes, and deliver on-demand services to its business consumers.Download this case study to learn more about:How Festo needed an agile and robust way to integrate data from existing silos in a way that would reduce reliance on IT.How Festo found smarter ways to streamline how they aggregate and analyze data.How they were able to deliver enhanced insight across the business without having to physically move data.How data virtualization...

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Customer Case Study: Logitech

In this video, Avinash Deshpande, Former Head Of Architecture (Data Solutions, ML & AI) at Logitech explains how they were able to build a cloud solution using data virtualization which gave them access to their data in real-time.

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