“Massive Data Analysis” (MDA) supports your research in statistical databases. It explores "big" time series databases/platforms for any data pattern of your choice to identify strong expected/unexpected correlations automatically. It’s designed e.g. to test/confirm your theses, to identify new correlations and to discover hidden causal relationships (e.g. leading/lagging indicators).
MDA calculates the correlation of numerical patterns against millions of time series by
on a single database platform (here: annual time series for selected AllThatStats databases)
Massive Data Analysis also enables you to shift patterns in time (+/- X periods). It supports research work e.g. for
Further insights can be expected:
Massive Data Analysis quantifies the strengths and directions between the variables in question and presents the results (for positive and negative correlations each).
Massive Data Analysis condenses the results to the best 100 positive and negative hits.