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Data Virtualization: Leading Change at Indiana University

Date

January 20

Time

2:00 pm - 3:00 pm

Location

EST – Live Webinar

  • This event has passed.

Join our higher ed analytics community on January 20th, as we share the story of Indiana University and their ‘Decision Support Initiative’. With the goal to provide timely, relevant and accurate information to facilitate better decision making, IU took a fresh approach towards BI, data management and their institution’s data culture.

Indiana University’s very own Dan Young will retell this story of change, a tale of both the strategic and tactical road travelled towards building a fully functional analytics institution. We’ll cover topics such as constructing an agile BI team, developing business “Product Owner” relationships, adopting a robust, logical data warehouse and establishing a grass-roots data governance program.

Newcomp + Denodo will walk you through what data virtualization is, how it allows you to build out a logical data warehouse, and create real-time and powerful visualizations for self-service data discovery.

Meet Our Keynote Presenter

Dan Young, Chief Data Architect and Manager of Enterprise Business Intelligence
Indiana University

Dan Young is the primary technical architect and contributing member of the executive team responsible for influencing business design patterns and frameworks in support the University’s next-generation data warehousing solution, known as the Decision Support Initiative (DSI).

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What You’ll Learn

What is Data Virtualization

Learn what data virtualization is and how it can help your institution access information.

Tackle Problems with Agile BI

Learn how a data fabric allows for easy discovery, optimized access and governance via a unified virtual data layer across your institution.

Indiana University & Their Journey

Learn how Indiana University was able to use data virtualization to unify their data sources into one platform making it easier to create insightful visualizations for their decision making teams.

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