Big Data Analytics in Banking Systems

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Big Data Analytics in Banking Systems

Typically Banking systems are responsible to validate and verify financial transaction data, geo-location data from mobile devices, merchant data, and authorization including submission data.

Data from lots of social media channels and Banking’s mainframe data center have a significant challenge to process and deliver final output.

The Issue:
Legacy systems are incapable of processing the data in when is in motion. Combining all different format of data is together is another challenge like structured, semi- structured and un-structured.

Big data Approach:
Big data analytics enables to combine, integrate and analyze all the data at once – regardless of source, type, size, or format – to generate the insights and metrics needed to address fraud and compliance-related challenges.

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