How to Achieve Self-Service Analytics with a Governed Data Services Layer (UK)

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Presented by

Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo

About this talk

A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. However, companies must also ensure that while unlocking the full potential of data for business users, they maintain security requirements. Data virtualization as a governed data service layer can not only help organizations achieve a unified data access layer that provides integrated views of data to business users in real time, but also allows the organization to establish governance protocols and specify authoritative sources. What will we talk about? -Challenges faced by business users -How data virtualization enables self-service analytics -A demonstration -A customer case study
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For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.