Data must be front and center for every organization that wants to be data-driven and competitive in the digital transformation era; but in most cases data is deeply buried, complex to access, and almost unattainable for business users. This diminishes its value and potential to optimize business and decision-making processes.
Several data delivery solutions such as data warehouses, self-service BI and data lakes are being used to try to unlock data silos, however each of these solutions presents its own drawbacks.
This whitepaper explores another solution - data virtualization – and how it can unlock the deeply buried data, make it available to business users and help organizations become data-driven. Using real customer use cases, it explains how data virtualization supports modern requirements for data integration and delivery.