94% of line of business (LoB), IT, and digital transformation (DX) leaders agree that data analytics are important for their organizations, or their areas to stay performant.
However, challenges like hard to use tools, lack of data literacy, lineage and integrity, as well as scattered and unmanaged tools are only getting more acute. Hence, analytics automation is becoming a necessity to remove friction, in order to accelerate the scaling out of data analytics across the entire organization
