Providing analytics and BI solutions with the data required has always been difficult, with data integration long considered the biggest bottleneck in any analytics or BI project. Data virtualization significantly accelerates data integration agility.
Complex data landscapes, diverse data types, new sources such as big data and the cloud are but a few of the well-known barriers.
For the past two decades, the default solution has been to first consolidate the data into a data warehouse, and then provide users with tools to analyze and report on this consolidated data.
However, data integration based on these traditional replication and consolidation approaches have numerous moving parts that must be synchronized. Doing this right extends lead times.