In this paper, data analytics techniques are used to combine the high spatial resolution measurements from a CIS (close interval survey) with year-round, once daily RMU (remote monitoring unit) measurements from nearby coupons. Up to five years of RMU measurements have been analyzed. The historic trends from various RMU coupon readings are compared with CIS measurements to confirm the validity of the CIS readings, to highlight any high-risk locations on the pipeline and to learn more about the influence of CP rectifiers at various distances along the pipeline. The spatial profile of the CIS measurements between a segment bookended by two coupon RMUs are projected forward in time by using the RMU readings as anchor points on the profile. This can be done in two ways, either by using a specific date’s RMU measurements or by fitting a seasonality model to predict how the potential profile could change into the future.