The paper investigates the effects of using real-time data instead of revised final data within Dynamic Stochastic General Equilibrium (DSGE) framework. Theoretically, using most recent, updated historical data for ex-post analyses for a historical time-sample may be misleading, because revised data were not available at that time. The contribution uses a small-scale monetary macroeconomic DSGE model to analyze the importance of real-time data compared to most-recent revised data with a focus on the differences in decision-making of the monetary authority. The analysis proceeds from Bayesian estimation of model parameters in a model with real-time data and in a model with the most recent revised data.