The key to getting value from analytics is to deliver high performance to a wide audience. If the BI tool is too slow or dragged down by too many users, it becomes worthless. This is why, in the past, it was impossible to widely deploy BI – the underlying technology could not scale. Companies could keep slowly adding users on massively parallel processing (MPP), shared nothing architecture, but eventually a bottleneck would form as queries come in faster than the results were returned and the issue of the ‘killer query’ was still a mission-critical problem.

This paper describes how technological advances have made it possible to deploy BI tools enterprise-wide without degrading performance. Using a shared- everything architecture like SAND enables enterprise-wide BI to scale while avoiding the risk of bottlenecks.

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