Abstract: Market data is often provided as inhomogeneous imperfect data with inconsistent granularity and hierarchical entries. Data processing operations may be performed by a user device or by a server coupled to a user device to transform the imperfect market data into perfect market data with consistent granularity where all entries are leaf nodes with no subordinate entries. The data processing includes data correction operations identify provided parent values of parent entries, the parent values based on sets of child values of child entries that are subordinate to the corresponding parent entry (e.g., representing sums, products, minimums, maximums, etc. of the child values) and compare these parent values to calculated values of corresponding operations performed on the provided child values. Additional entries may be generated to absorb any discrepancies identified in these comparisons. Parent nodes can then be removed to remove redundant information and provide uniformity to the market data.