Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format. Semantic analysis of values in criterions across data entries may allow for groups of entries to be associated together with transaction ID values common to and unique to the groups of entries associated with a common transaction. The method may group data entries based on values in criterions, test potential groupings based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generate a new transaction ID criterion in each of the data entries.

Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise determining if the data file comprises signature characteristics associated with a known data format and, if so, determining a set of data manipulation operations associated with the known data format to convert the data file to a compatible format for the data analysis tool. The method may further comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format.

Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format. Semantic analysis of values in criterions across data entries may allow for groups of entries to be associated together with transaction ID values common to and unique to the groups of entries associated with a common transaction. The method may group data entries based on values in criterions, test potential groupings based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generate a new transaction ID criterion in each of the data entries.

Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format. Semantic analysis of values in criterions across data entries may allow for groups of entries to be associated together with transaction ID values common to and unique to the groups of entries associated with a common transaction. The method may group data entries based on values in criterions, test potential groupings based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generate a new transaction ID criterion in each of the data entries.

Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise determining if the data file comprises signature characteristics associated with a known data format and, if so, determining a set of data manipulation operations associated with the known data format to convert the data file to a compatible format for the data analysis tool. The method may further comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format.

Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format. Semantic analysis of values in criterions across data entries may allow for groups of entries to be associated together with transaction ID values common to and unique to the groups of entries associated with a common transaction. The method may group data entries based on values in criterions, test potential groupings based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generate a new transaction ID criterion in each of the data entries.

Abstract: Methods are provided for assigning transaction identifiers to data entries in a general ledger. The method may comprise grouping data entries into potential transaction groups based on values in one or more criterions, validating the potential transaction groups based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generating a transaction ID criterion in each of the data entries if the behavior test is sufficient based on the assessed characteristics of entries when grouped in the proposed manner. The method may further comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format.

Abstract: A software-based dashboard interface on computing units enables user participation in social media sites on a global computer network on behalf of an entity. Contributors collaborate via the dashboards to have electronic conversations regarding existing postings and/or ideas for new postings on social media sites regarding or affecting the entity. One or more of the users develop a proposed posting(s) regarding or affecting the entity and intended for a social media site(s) on the global computer network. A computer-assisted approval process is performed by an Approver for one or more of the proposed posting(s). One or more approved postings are then posted to the social media site(s) via a computing unit(s). A Conversation Manager manages the collaboration, development and posting.