Data Governance

Showing 31 - 40 of 60 pages tagged with: Data Governance

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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Denodo & Looker - Enabling Real-Time Business Decisions with a Modern BI Solution

The combination of Denodo and Looker delivers a modern BI infrastructure built on the foundation of a logical data warehouse. By leveraging templated Looker Blocks for various data sources, getting started with analysis is amazingly fast.Download this solution brief to understand:The benefits of combining data virtualization with data analytics.The data architecture of the Denodo data virtualization platform and the Looker data analytics platform.How Denodo and Looker work together to deliver value to customers such as Ultra Mobile.

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Customer Case Study: Indiana University

In this video, Dan Young, Chief Data Architect at Indiana University, discusses how they used data virtualization to improve their decision-making across the university.

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Ultra Mobile Case Study: Transforming into a Data-Driven Organization

Ultra Mobile Offers Best-in-Class Customer Service While Keeping the Rapid Pace of User Base and Profitability Growth Intact, Using the Denodo Platform Ultra Mobile’s business users needed to answer questions such as “Where will the next phase of growth come from?” or “How do we best retain our customers?” Unfortunately, their business intelligence and reporting solution could not keep pace as quickly as the business evolved.The solution needed to present data in a consistent, single view, as the blending and federation of data in the BI tool was not mature. Download this case study to learn...

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