Regression: Variable influence
In SAS, apart from the correlation (Pearson index) you can use a ranking index like the Spearman coefficient (proc corr).
In addition, supposing you have the correct modules (STAT/MINER) licensed you can use:

a linear (logistic) regression on standardized regressors and compare the betas
a tree and compare the variables on one of the available metrics (Gini, Chi2)
Is there any way in SAS , Python to find the most influential variables in rank order apart from correlation ? 
I might be missing something and any suggestion would be appreciated how to interpret it.