Katrina Briedis
Presented at Data Analytics for Enterprise (Australia)
Today most organizations rely on data-driven insights to make critical operational and strategic decisions. But given the complexity and vastness of the modern enterprise data ecosystem, finding the right data set and extracting actionable insights is an extremely complicated and time-consuming process.
That’s where data virtualization can be used to abstract that complexity and introduce simplicity. Data Virtualization is a modern data integration technique that uses a single unified semantic layer to give you visibility into all of your data assets so that they can be better leveraged across the business.
Attend this session to understand how data virtualization can be used to:
- Complete the self-service model by allowing business users to easily discover data for their specific business purpose
- Promote trust in data and encourage re-use of existing data assets
- Apply consistent security and governance policies across the enterprise data landscape
