Data Governance

Showing 41 - 50 of 73 pages tagged with: Data Governance

Customer Case Study: Logitech

In this video, Avinash Deshpande, Chief Software Architect 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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Customer Case Study: GEMA

In this video, Chrisoph Wieser, Enterprise Architect at GEMA explains how data virtualization was implemented as an extension of middleware to improve their response times and quality of service.This customer case study video will cover:GEMA’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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Accelerating Self-Service Analytics with a Unified Semantic Layer

Enabled by Data Virtualization, Unified Semantic Layer Promise Greater Efficiency through Common Definitions.To enable all business users, regardless of technical acumen, to derive value from self-service analytics tools, companies need to be able to provide access to the data through a unified semantic layer, which ensures that no matter the data source, users can access the data using common definitions that are standard, within each particular business culture. However, companies are unable to establish unified semantic layer because of the age-old challenge: Data is spread across multiple...

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Succeeding in Self-Service BI

Kyle Quass, BI Data Architect, Indiana University presents how to architect a universal semantic model - a common business definition layer that simplifies integration

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Lowering IT Costs with Big Data and Cloud Modernization

Tekin Mentes, SM, Enterprise Data Architect, Data Evangelist, Logitech presents how Logitech migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.

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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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Multi-zone Data Virtualization for Data Lakes

Paul Grooten, Data Architect, Statistics Netherlands presents how Statistics Netherlands are using a Spark-based data lake with Denodo's data virtualization in a multi-zone architecture to enable the statisticians to quickly find and use the data in the format they need.

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Data-as-a-Service (DaaS) for Business Decision Makers

Leverage Data Virtualization to Turn Raw Data into Actionable IntelligenceBusiness decision makers are not analysts, but they are often called upon to play the role of analysts by poring over tables of raw data to derive actionable insights. Ultimately, business decision makers need more than raw data; they need clean, curated information that is custom-fi t to their goals, so that when it arrives, it is immediately intelligible. In short, what they need is data-as-a-service (DaaS).Download this solution brief to learn more about:

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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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A Data Services Marketplace, at Your Service

Leverage data virtualization to enable full-featured data servicesWith the constant proliferation of digital interactions, and the availability of increasingly voluminous, less expensive storage solutions, organizations are often in possession of more data than they can handle. In such organizations, stakeholders are often unaware of what data is available, let alone where it is stored, or how it needs to be accessed. Rather than finding the best source of information for a given task, analysts often go with the first source they can find, diminishing the value of the data.One solution is a...

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