1. A system that facilitates automatic detection of exceptions in tabular data, the system comprising a processor and memory storing computer executable components, the computer executable components comprising: an application that contains tabular data expressed as a plurality of rows that include a plurality of columns; and a predictive analysis component that receives the tabular data and predicts exceptions in the tabular data utilizing a probabilistic clustering algorithm with predictive capabilities, the predictive analysis component comprising: a clustering module that groups the plurality of rows into one or more groups using the clustering algorithm, wherein the plurality of rows are grouped based on similarities between values in the columns of each of the rows in each group, and wherein the clustering module further identifies at least one row from the plurality of rows that is not grouped with at least one other row from the plurality of rows; and a predictive module that determines a group to which the identified at least one row is most similar and compares the value of each column in the at least one row to a predicted value for the corresponding column of rows that are grouped into the most similar group, and based on the comparison determines at least one column of the identified at least one row that contains a value that is most different from the corresponding predicted value such that the at least one column is identified as having caused the identified at least one row to not be grouped with the most similar group.