Abstract
The traditional data warehouse model is no longer able to keep up with the evolution and changing requirements of the data analytic world. As we see the concept of a logical data warehouse gain momentum, there's a resulting need to drive a portion of the analytics closer to where the data is actually created and used. This paper uses the concept of swarm intelligence as a basis for simple, distributed analytics architecture to help address this need. It illustrates this with an example based on a chain of retail stores and demonstrates how this model could simplify the architecture and, at the same time, and increase data availability while decreasing cost.