Abstract: The present disclosure relates to methods and systems for processing data via a data profiling process. Data profiling can include modifying attributes included in source data and identifying aspects of the source data. The data profiling process can include processing an attribute according to a set of validation rules to validate information included in the attribute. The process can also include processing the attribute according to a set of standardization rules to modify the attribute into a standardized format. The process can also include processing the attribute according to a set of rules engines. The modified attributes can be outputted for further processing. The data profiling process can also include deriving a value score and usage rank of an attribute, which can be used in deriving insights into the source data.

Abstract: The present disclosure is directed to a universal data language (UDL) translator. Specifically, the systems and methods disclosed enable input data from a variety of sources to be translated into a UDL that can be consistently analyzed and compared against other sources of data. For example, an entity may upload input data that has a plurality of data terms and definitions (e.g., header column in a spreadsheet). These terms may be duplicative and/or inaccurate with respect to the underlying data. If the entity wishes to compare and transact data within a data marketplace, the entity may not fully comprehend what data it is missing and/or what data another entity may have to offer for trade. To remedy this problem of business semantic management, the present invention discloses steps for creating a UDL and a UDL translator so that any input data can be translated to UDL.

Abstract: The present disclosure relates to methods and systems for processing data via a data profiling process. Data profiling can include modifying attributes included in source data and identifying aspects of the source data. The data profiling process can include processing an attribute according to a set of validation rules to validate information included in the attribute. The process can also include processing the attribute according to a set of standardization rules to modify the attribute into a standardized format. The process can also include processing the attribute according to a set of rules engines. The modified attributes can be outputted for further processing. The data profiling process can also include deriving a value score and usage rank of an attribute, which can be used in deriving insights into the source data.