1. A computer-implemented method, comprising: receiving, by a computer, a query request for identifying a first data set, a second data set, and a plurality of mapping properties, the mapping properties include at least a previous model of the second data set; retrieving, by the computer, the first data set and the second data set, the first data set including data stored in a first field and the second data set including data stored in a plurality of fields; determining, by the computer, a plurality of similarity ratings for a field combination between the first field and a second field from the plurality of fields, the plurality of similarity ratings containing a similarity rating for each mapping property, wherein determining a first similarity rating comprises: determining, by the computer, a result set of common data between the data stored in the first field and the data stored in the second field; generating, by the computer, a negative value for the first similarity rating when the result set is empty; and generating, by the computer, a positive value for the first similarity rating when the result set is non-empty; determining, by the computer, a consolidated similarity rating according to the plurality of similarity ratings; generating, by the computer, a proposed model for combining the first data set and the second data set, wherein the first field is combined with the second field when the consolidated similarity rating is above a predefined threshold; and implementing, by the computer, the proposed model.