A Wireless Sensory Network(WSN) has put much importance to the data that it gets from the Sensor nodes, since the data from sensors are so valuable since sensor has limited life time and moreover the sensors are mostly not reachable physically once they are deployed, so an efficient analysis of the valuable data needs to be place once the data is obtained , so that decision making is can be effective. The Self Organizing Maps(SOM) technique of Artificial Neural Network, which are proven methodologies for clustering the data has more advantage and it has been proposed in this paper for the sink data analysis and the SOM has been modified, by storing the sensor location information in its Best Matching Unit, so that SOM can be used for Classical Statistical Analysis too.