Master Data Management

Showing 1 - 10 of 19 pages tagged with: Master Data Management

Customer Case Study: UCB

UCB is a global biopharma company well known in the field of immunology and neurology. UCB wanted to build data centric business use cases such as a 360 degree view of the customer, trend analysis in hiring, efficient resource allocation etc. It also wanted to move away from a ETL classical approach for solving its data integration challenges which included pulling data from multiple sources. In this video, Salvatore Cutolo, Head of BI from UCB goes into detail about their data virtualization use case.This customer case study video will cover:UCB's business challengeHow they used data...

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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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Customer Case Study: Schaeffler

In this video, Dr Jürgun Bohn, Director Data Architecture and Engineering 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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Using Modern Data Management and Self-Service BI for Business Advantages

Denoder customer presentation by Andrew Sohn, SVP, Global Digital and Analytics Services, Crawford & Company.

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Modernizing Data Warehouse Through Data Virtualization

Denoder customer presentation by Alan Knox, Technical Operations Manager at Vancouver Coastal Health.

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Gain Unprecedented Data Access and Agility with Denodo and Wipro

New technologies such as big data, cloud, and the Internet of things (IoT) are increasing the volume and variety of data every day, and companies still struggle with leveraging data assets in a meaningful way. Denodo, the leader in data virtualization, offers a modern, highly effective method for integrating data in real-time and providing a logical data catalog for business use. Wipro has deep expertise across a wide variety of industries, including manufacturing, banking, insurance, telecommunications, healthcare and energy, to enable companies to facilitate massive data management...

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Data Virtualization and the API Ecosystem

Working Together, These Two Technologies Enable Digital TransformationAt the heart of any digital transformation, no matter the industry or the size of the company, there is an API strategy. Application programming interfaces (APIs) are the connection points between one application and another, and as such, they enable applications to build on each other, extend each other, and work with each other. Taken together, APIs represent a thriving ecosystem of developers that is showing no sign of slowing down.

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Enabling Single View of Entities with Microservices

Schoeman Loubser, Information Architect, GetSmarter presents how GetSmarter are using microservices to improve their business intelligence.

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Customer Case Study: Vizient

In this video, Chuck DeVries, Vice President, Tech Strategy and Enterprise Architecture at Vizient, discusses how they were able to provide adequate value to member hospitals by creating a broader view of their organizational data enabled by data virtualization.This customer case study video will cover:Vizient’s specific business challengeHow they used data virtualization to address this business challengeWhat the benefits of data virtualization are in their particular caseWhy they chose the Denodo platformHow they plan to utilize the Denodo platform and data virtualization in future

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Data Virtualization Empowers Self-Service Analytics to Gain Real-Time Access to Integrated Data Across the Enterprise

Realizing the Promise of Self-Service AnalyticsSelf-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Download this solution brief to learn more about the following:How fragmented data is seamlessly unified.How a high-maintenance data integrations are replaced by a single, low-maintenance data virtualization layer.How data delays are virtually eliminated, as data can be accessed in real time.How data integrity is preserved.How data lineage is fully traceable....

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