1. A system that facilitates data cleansing, the system comprising: a processor; a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions configured to implement the system, including: a data warehouse that stores data from a plurality of data sources in an extract, transform and load (ETL) environment; and an outlier detect component that receives data from the data sources and bifurcates the data into normal and outlier, wherein the normal data is subsequently loaded into the data warehouse, and the outlier data is excluded from the data warehouse, wherein the outlier detect component utilizes a cluster mining model that detects patterns in the received data, clusters the received data in accordance with the detected patterns, and identifies a subset of the received data that does not fit into any of the clusters as outlier data.