In recent years, decreasing data acquisition costs as well as increasing availability of public domain data for the earth sciences have converged to create data-rich mineral exploration environments in many parts of the globe. In parallel, computational processing power and increasingly user-friendly software have advanced to the extent that this information can be accessed and interrogated by the masses. These trends are set to continue, implying that the challenge to gather and generate information may soon be superseded by the challenge to integrate and utilize a newfound wealth of information.Considering the above, and the maturity of general porphyry copper exploration models, such as Richards perspective on large scale requirements for Giant deposit formation (Richards, 2013), and Sillitoes take on system-scale zonation (Sillitoe, 2010), the successful explorer of the future must position him or herself to derive and evaluate porphyry copper targets in terms of geological processes and criteria evaluated holistically using multiple data sources rather than isolated indications provided by standalone techniques.The discussion herein revolves around incorporating this paradigm into active exploration processes to derive robust targets faster through maximization of available information of varying sub-disciplines at a variety of scales. Examples from Andean porphyry copper deposits and exploration plays are utilized to illustrate concepts. Ultimately, this is a generalist perspective on maximization of available information to evaluate key geological processes and features required for Giant porphyry copper deposit formation. CITATION: Trott, M and Farrar, A, 2019. The role of multidisciplinary interpretation for porphyry copper targeting in the South American Andes, in Proceedings PACRIM 2019, pp 316320 (The Australasian Institute of Mining and Metallurgy: Melbourne).