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Regulatory reporting and BI reporting in the banking sector
Client: Banca Intesa Sanpaolo
The project addressed both regulatory and BI reporting needs. For regulatory reporting, manual processes were replaced with an automated ETL job using SAS Enterprise Guide and Python scripts, streamlining data collection, preprocessing, and output preparation for the performance management system Tagetik. BI reporting involved creating interactive dashboards with SAS Visual Analytics, later migrated to SAS Viya, ensuring granular access rights for bank employees. The outcome was significant time savings through automation and improved accuracy, facilitating efficient reporting and data analysis for internal use.
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Risk assessment for a large bank
Client: ING
ING Bank partnered with a team comprising a senior data scientist, data scientist, and project manager to address operational and legal/regulatory risks crucial to their operations. Leveraging SAS Viya, they developed a robust tool for real-time risk monitoring and scoring, focusing on non-financial risks. The solution includes a comprehensive pipeline for data analysis, scoring, and scenario simulations, enabling proactive risk management, informed decision-making, and resource allocation. By enhancing compliance and reducing operational disruptions, the system contributes to cost reduction and organizational resilience.
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Data model development and BI reporting
Client: NLB
NLB Banka, a leading financial institution in the Adriatic Region, needed a solution to manage complex data across various departments and meet both internal decision-making and regulatory reporting requirements. Our team developed flexible data models using IBM Framework Manager, focusing on Credit Risk, NPL, Controlling, and Sales. This was followed by comprehensive report building in IBM Cognos Analytics. The solution improved data accessibility, reporting efficiency, and empowered staff to manage reports independently, leading to better decision-making and operational efficiency.
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