Abstract: A system may comprise one or more processors. The one or more processors may store data, associated with a plurality of documents, as stored data and may receive documents from a plurality of client devices. The documents may include a plurality of different types of data. The one or more processors may assign the documents to one or more groups based on the plurality of different types of data and may identify a group of documents of the one or more groups. The one or more processors may compare data, within documents in the group of documents, to the stored data and may transmit, to one or more devices, a result of comparing the data to the stored data.

Abstract: A system may comprise one or more processors. The one or more processors may store data, associated with a plurality of documents, as stored data and may receive documents from a plurality of client devices. The documents may include a plurality of different types of data. The one or more processors may assign the documents to one or more groups based on the plurality of different types of data and may identify a group of documents of the one or more groups. The one or more processors may compare data, within documents in the group of documents, to the stored data and may transmit, to one or more devices, a result of comparing the data to the stored data.

Abstract: Systems, methods, and computer program products are provided for determining risk. In one exemplary embodiment, there is provided a method for determining risk. The method may include receiving historical information relating to tax return data of a taxpayer. The method may also include updating one or more profiles associated with the historical information. The method may also include receiving current information relating to tax return data of the taxpayer. The method may also include querying the updated historical information based on the received current information. The method may further include processing historical information, received in response to the querying, together with the current information to generate one or more risk scores.

Abstract: Systems, methods, and computer program products are provided for providing monitoring risk. In one exemplary embodiment, there is provided a method for monitoring risk. The method may include receiving, grouping, and summarizing first information relating to first data. The method may also include storing, based on the receiving, grouping, and summarizing, the information in one or more tables, wherein each of the one or more tables is associated with one or more fields of data. The method may also include receiving, grouping, and summarizing second information relating to second data. The method may also include querying the one or more tables. The method may include comparing the information received in response to the querying of one or more tables with the second information. The method may further include providing an indication of risk based with the comparison, wherein the first information and the second information include tax return information.

Abstract: Systems, methods, and computer program products are provided for determining risk. In one exemplary embodiment, there is provided a method for determining risk. The method may include receiving historical information relating to tax return data of a taxpayer. The method may also include updating one or more profiles associated with the historical information. The method may also include receiving current information relating to tax return data of the taxpayer. The method may also include querying the updated historical information based on the received current information. The method may further include processing historical information, received in response to the querying, together with the current information to generate one or more risk scores.

Abstract: Systems, methods, and computer program products are provided for transforming data into a format suitable for analytics use, such as statistically-based risk assessments. In one exemplary embodiment, the method may include receiving data from one or more data sources, and generating one or more associations among the received data, the associations providing links between one or more data elements of the received data. In addition, the method may include generating one or more segmented data sets based on the received data and the one or more associations, the segmented data sets reflecting an organization of the received data, and integrating one or more variables related to the received data into the one or more segmented data sets to create pre-processed data. Furthermore, the method may include outputting the pre-processed data and integrated real-time data for application of analytics.