This article presents the strength of data analysis and processing services, its relation to R specifically to this context, and the way to address them. This is illustrated by the use of the package Radiant in the R –language for analysis of an oil production data. The graphs drawn and results obtained discussing the relevance of data analysis and processing. The results thereof aim at giving relevance recommendations on curbing various weaknesses experienced and thereby ultimately preventing such future problems.