Big-data analytics in banking: from storage to value

FintechBy: Ahmadreza Ahmadi2 min readSource: Civilica
Big-data analytics in banking: from storage to value

1Introduction

Transactions, app logins and calls exceed traditional relational capacity.

2Discussion

Data lakes combined with warehouses as lakehouses enable cheap raw storage and structured analysis.

Uses include real-time fraud detection, personalisation, behaviour analysis and branch/ATM optimisation via stream processing.

3Conclusion

Without governance a lake becomes a swamp; cataloguing, access control and privacy are essential.

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Sources

  1. Civilica ↗
  2. Ensani ↗
همفکران فناوری شریفThis article summarises the official sources cited, prepared by the Hamfekran Fanavari Sharif team for finance leaders.
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