Abstract: A set of proof correlation processes for identifying the two equal-length ranges (corresponding to time periods) contained within two discrete time data series (one range per series) that exhibit the highest correlation score when evaluated by a method that mimic how humans visually assess and score correlation is disclosed. The set of proof correlation processes include scoring the strength of correlation exhibited by ranges of data values corresponding to time periods and within two discrete time data series, and determining the number of time intervals that the variable series must be shifted (either forward or backward in time) with respect to the static series to exhibit the maximum correlation score for the given range pairs.

Abstract: An investment impact value chain connection and visualization system that connects marketing investment over time to financial impact and methods for connecting marketing investment to impact on business revenue, margin and cash flow and for connecting and visualizing correlated data sets to describe time-sequenced chains of cause and effect in the connection between marketing investment and financial impact are disclosed. The system and the methods deliver comprehensive, full scope assessment of marketing's contribution to revenue, margin, and cash flow via correlations between marketing stimuli and demand generation, deal expansion and sales velocity outcomes.