Aug 01, 2022
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Service categories
Service Lines
Big Data
Domain focus
Banking & Financial Services
Programming language
Python
Frameworks
Hadoop
Subcategories
Big Data
Data Analytics
Data Discovery
Data Science
Challenge
Implementing a high-speed big data platform for computing anti-fraud predictors.
Implementing a high-speed big data platform for computing anti-fraud predictors.
Solution
The solution needed to meet the following specifications:
• Have the ability to perform high-speed computations of predictors within a limited time window
• Allow in-house departments to design and adjust the computed predictors
• Easy integration with the surrounding banking systems
• Scalability for future extensions and customization
The solution needed to meet the following specifications:
• Have the ability to perform high-speed computations of predictors within a limited time window
• Allow in-house departments to design and adjust the computed predictors
• Easy integration with the surrounding banking systems
• Scalability for future extensions and customization
Results
We implemented a high-speed big data platform for computing anti-fraud predictors, and achieved these results for the bank:
• Česká spořitelna has a new high-speed solution which fulfills the requirements of the limited-time window
• The solution is scalable – it can process larger data volumes and conduct faster computations in the future
• The bank’s in-house departments can customize the computations
• The big data platform integrates fully with all required banking systems
We implemented a high-speed big data platform for computing anti-fraud predictors, and achieved these results for the bank:
• Česká spořitelna has a new high-speed solution which fulfills the requirements of the limited-time window
• The solution is scalable – it can process larger data volumes and conduct faster computations in the future
• The bank’s in-house departments can customize the computations
• The big data platform integrates fully with all required banking systems