Data virtualization: The modern solution to data integration
The pace of change in today’s business landscape is faster than ever. Through successfully applying artificial intelligence and machine learning, organizations can more efficiently allocate resources, drive revenue and keep up with the ever-changing business environment.
With 60% of data projects failing, organizations must introduce speed and a culture of experimentation into their approach. Yet, data access is often a slow and frustrating process for both the data engineer or data steward and the data consumer. An average of 70% of time spent on data projects is focused on accessing and preparing the required data.
Data virtualization provides a solution to a number of problems that inhibit organizations’ shift to experimentation and agility. By 2020, organizations leveraging data virtualization for data delivery will spend 45% less on their data integration processes.
In this white paper you will learn:
- How does data virtualization work?
- What use cases is data virtualization ideal for?
- What are the business benefits of data virtualization?
- How does data virtualization fit into your existing data landscape?