22. A network computer for ingesting data for a data model, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and a processor device that executes instructions that perform actions, including: providing one or more raw data sets to an ingestion engine, wherein each raw data set includes one or more raw records; providing one or more ingestion rules associated with one or more confidence scores and one or more known data sets based on a type of the one or more raw records; employing the ingestion engine to iteratively execute the one or more ingestion rules, performing further actions, including: providing a comparison of one or more portions of the one or more raw records to the one or more known data sets; transforming contents of the one or more raw records into one or more model record values based on the comparison to the one or more known data sets; storing the one or more model record values in one or more model records; providing a score value that indicates a confidence level that the one or more model records are correct based at least on the one or more confidence scores; storing an association of the one or more ingestion rules used to transform the raw record contents into the model record values stored in the one or more model records; when the score value that indicates the confidence level of the one or more model records is less than a threshold value, performing further actions, including: providing a user-interface to interactively edit the one or more raw records or the one or more ingestion rules, wherein the edited one or more ingestion rules produce an increase change or a decrease change in the one or more confidence scores, wherein the one or more changed confidence scores are employed to provide the score value; and storing the one or more model records in a data store, wherein the one or more model records are added to the data model.
22. A network computer for ingesting data for a data model, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and a processor device that executes instructions that perform actions, including: providing one or more raw data sets to an ingestion engine, wherein each raw data set includes one or more raw records; providing one or more ingestion rules associated with one or more confidence scores and one or more known data sets based on a type of the one or more raw records; employing the ingestion engine to iteratively execute the one or more ingestion rules, performing further actions, including: providing a comparison of one or more portions of the one or more raw records to the one or more known data sets; transforming contents of the one or more raw records into one or more model record values based on the comparison to the one or more known data sets; storing the one or more model record values in one or more model records; providing a score value that indicates a confidence level that the one or more model records are correct based at least on the one or more confidence scores; storing an association of the one or more ingestion rules used to transform the raw record contents into the model record values stored in the one or more model records; when the score value that indicates the confidence level of the one or more model records is less than a threshold value, performing further actions, including: providing a user-interface to interactively edit the one or more raw records or the one or more ingestion rules, wherein the edited one or more ingestion rules produce an increase change or a decrease change in the one or more confidence scores, wherein the one or more changed confidence scores are employed to provide the score value; and storing the one or more model records in a data store, wherein the one or more model records are added to the data model. 26. The network computer of claim 22 , further comprising: when two or more of the one or more ingestion rules matches a raw record, performing further actions: providing at least one model record for each of the matched two or more ingestion rules; and allocating one or more resource values corresponding to the raw record to the at least one model records based on weighting values that are associated with the two or more ingestion rules.