This document discusses using data mining techniques on vehicle e-governance data from India. It proposes a multi-dimensional schema for a data warehouse using a snowflake design. It then applies clustering and association rule mining algorithms. Clustering identifies 10 clusters in the vehicle data. Association rule mining finds relationships between vehicle manufacturers, models, and types that are most commonly associated together, such as Honda vehicles being clustered with owners with the surname "Patel". The results provide insights for both government administrators and automobile companies.