- FE Credit set up a cloud-based infrastructure to scale up its data process capability to over 5 billion rows monthly
- The move improved the bank’s operating efficiency as well as customer experience
- With its advanced analytics transformation program, the bank generates 50% more loan volumes for customers with same risk
Hanoi, 9 April 2020 – FE Credit and partner McKinsey & Company were awarded Best Analytics Implementation at The Asian Banker Vietnam Awards 2020. The awards ceremony was held in conjunction with The Asian Banker Finance Vietnam 2020, the foremost annual meeting for decision makers in the financial services industry in Vietnam, held on 9 April at Meliá Hanoi, Vietnam.
FE Credit set up a cloud-based infrastructure to scale up its data process capability to over 5 billion rows monthly
FE Credit implemented a cloud-based advanced analytics platform to scale up its process and storage capacity on an as-needed basis. The bank is currently processing over 5 billion rows of data monthly, scaling the capacity up or down depending on the requirements. It is also working on a scaling plan to increase its platform capacity over the next few years to incorporate increase in data...
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- FE Credit set up a cloud-based infrastructure to scale up its data process capability to over 5 billion rows monthly
- The move improved the bank’s operating efficiency as well as customer experience
- With its advanced analytics transformation program, the bank generates 50% more loan volumes for customers with same risk
Hanoi, 9 April 2020 – FE Credit and partner McKinsey & Company were awarded Best Analytics Implementation at The Asian Banker Vietnam Awards 2020. The awards ceremony was held in conjunction with The Asian Banker Finance Vietnam 2020, the foremost annual meeting for decision makers in the financial services industry in Vietnam, held on 9 April at Meliá Hanoi, Vietnam.
FE Credit set up a cloud-based infrastructure to scale up its data process capability to over 5 billion rows monthly
FE Credit implemented a cloud-based advanced analytics platform to scale up its process and storage capacity on an as-needed basis. The bank is currently processing over 5 billion rows of data monthly, scaling the capacity up or down depending on the requirements. It is also working on a scaling plan to increase its platform capacity over the next few years to incorporate increase in data...
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