High Utility Data Generation Using DataXplod

Despite the persistent need for appropriate volume of high utility data across all TCS projects, there was no economical, efficient, flexible, person-independent and reusable methodology for data generation and supporting tool available to satisfy this need. In this paper, we propose a novel, flexible methodology called Xplod for generation of any volume of high utility data that can exploit the production data, if available, and has low expectations when it comes to inputting metadata/data-semantics related information. We also describe our data generation tool DataXplod that implements this methodology in economical, efficient, and reusable manner, eliminating the need to have a highly skilled human resource, allowing high utility data generation on-demand even at off-shore, thus giving TCS project teams/clients substantial cost, quality and productivity improvements.