Effective real-time data analytics enhance operational efficiency and optimise revenue, but for many banks, merchants and processors the sheer volume of data and the speed at which customer behaviours are shifting outpace existing analytics and reporting cycles. Higher data velocity and faster payments have resulted in more rapid data depreciation and a shrinking decision-making window. This underscores the need for continuous feeds of real-time data analytics, as required by machine learning models and predictive algorithms.

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