Solidatus and HSBC Shortlisted for Prestigious Banking Technology Award
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Regulatory ComplianceFull and detailed data oversight for regulatory compliance
BCBS 239What BCBS 239 compliance looks like with Solidatus
Model Risk Management (SR 26-2)The Federal Reserve’s revised model risk management guidance, and what it asks of your data
Trusted AI-ready data for the entire business
Change ManagementMitigate risk in business transformation
Data GovernanceThe foundation for your data governance initiatives
Data ProductsProvide confidence,quality and revenue impact for data products
Decision Making and ReportingEnsure accuracy of data for strategic reports
Operational ResilienceUnderstand dependencies and reduce impact if systems fail
Data LineageColumn-level lineage with business and policy context built in
Integrations and SolutionsComplete lineage, from cloud to mainframe
AI Lineage AssistantWhy Solidatus AI Lineage Assistant
See everything, everywhere, with complete data lineage for Microsoft Purview
OpenLineageFrom OpenLineage events to a governed lineage model
We are thrilled to announce that Solidatus and our customer, HSBC, have been selected as finalists for the Banking Tech Awards by Fintech Future. Our nomination falls under the category of “Best Use of Tech in Business Lending”.
Our joint submission detailed how HSBC leveraged the power of Solidatus’ next-generation version-controlled graph technology to revolutionize their Wholesale Lending business under a multimillion-dollar transformation program that helped them:
Sid Mubashar, Head of Credit Insights & Intelligence, Wholesale Credit & Lending, HSBC, said: “At HSBC, we serve millions of customers across 63 countries and territories, with over one million customers utilising $3.6 trillion in approved credit limits – resulting in a highly complex data infrastructure. With Solidatus, I can visualize the data model for each business outcome, manage the requirements of key stakeholders and provide greater clarity over the intricacies involved in addressing their requests. This new data-led framework plays a major role in HSBC’s global strategy.”
Within six months of launch, a small business team documented and modeled HSBC’s entire wholesale lending book, demonstrating traceability from source to consumption. The team has now successfully modeled 2,000 source tables with 80,000+ fields, and 20,000+ data linkages across 45 source systems used globally.
By seamlessly ingesting metadata via Solidatus’ connectors, HSBC gained complete lending book transparency with dynamic end-to-end lineage visualization. They can efficiently evaluate change impacts by referencing current, historical, and future data views, substantially reducing manual workload. Additionally, HSBC established a shared data language, eliminating redundant efforts for the bank and its customers, with significant financial benefits.
This self-service, single source of truth is available to hundreds of internal users, visualizing all data requirements across the lending book. In contrast, with the same sized team, given the complexity and scale of the organization, traditional solutions would require an estimated 18-24 months and would not provide the same breadth of transparency and capability.
Philip Dutton, CEO, Solidatus, added: “HSBC understands the complexities of modern banking better than most – and seeing such a small team deliver such a big impact using Solidatus is extremely powerful. Being shortlisted for this prestigious award is a testament to their innovative work and the quality of our technology.”
Read the full case study by following the link below.
Within six months of launch, a small business team documented and modeled HSBC’s entire wholesale lending book, demonstrating traceability from source to consumption. They now have a highly scalable and automated solution that is being applied to several applications from ESG to liquidity calculations and other regulatory uses.
Published on: August 23, 2023
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