1. A computer-implemented method for creating an optimized project having optimally selected sub-projects, the computer-implemented method comprising: determining value clusters, wherein value clusters are the discrete intersection of selected data and an ability of the selected data to add value to an organization; organizing data objects into data models of future data structures; mapping the data models of future data structures to existing data sources; determining additional processes, wherein the additional processes move the selected data from a source to a target; creating an affinity matrix based on the value clusters, wherein the affinity matrix is a matrix, wherein the matrix indicates a relationship between groups of data sources and groups of output objects, and indicates a relationship between groups of available logical processes and groups of output objects; inputting into an optimization engine boundary conditions, the existing data sources, the data objects, logical processes used to create output objects, the value clusters, the data models of future data structures, the mapping of the data models of future data structures to the existing data sources, the additional processes for moving data from the source to the target, and the affinity matrix; and storing the optimized project in a storage device, wherein the optimized project is derived from an optimization process using the optimization engine.