  UK GDP data is published with a lag time of more than a month and it is often
adjusted for prior periods. This paper contemplates breaking away from the
historic GDP measure to a more dynamic method using Bank Account, Cheque and
Credit Card payment transactions as possible predictors for faster and real
time measure of GDP value. Historic timeseries data available from various
public domain for various payment types, values, volume and nominal UK GDP was
used for this analysis. Low Value Payments was selected for simple Ordinary
Least Square Simple Linear Regression with mixed results around explanatory
power of the model and reliability measured through residuals distribution and
variance. Future research could potentially expand this work using datasets
split by period of economic shocks to further test the OLS method or explore
one of General Least Square method or an autoregression on GDP timeseries
itself.
