The SBS Financing Platform stands out as a premier ecosystem comprised of cloud-based, evergreen software applications. This platform empowers financial institutions and lenders of all sizes and locations to offer outstanding customer experiences across various asset types and commercial lending scenarios.
With over four decades of expertise in the finance sector, our modular solutions ensure a smooth digital experience for both clients and their customers. Additionally, these solutions facilitate a swift time-to-market and a quick realization of value, ultimately enhancing customer satisfaction and driving profitability. Moreover, the platform's adaptability makes it suitable for evolving market demands, ensuring that users can stay ahead in a competitive landscape.
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AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer.
Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI.
The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments.
AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model.
The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents.
Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
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QuantLedger
QuantLedger stands as a revolutionary analytics platform powered by artificial intelligence, designed specifically for finance and cryptocurrency professionals. It streamlines transaction monitoring, portfolio management, and financial reporting, thereby enhancing decision-making through comprehensive data insights. With its intuitive interface and robust features, QuantLedger empowers users to optimize their investment strategies and improve asset management efficiency. Whether you are a trader, investor, or financial advisor, this platform equips you with crucial tools to successfully navigate the dynamic financial landscape. Discover the future of finance with QuantLedger, where innovation meets practical solutions, ensuring you stay ahead of the curve and well-informed. By adopting this transformative platform, you not only support but also elevate your financial endeavors to new heights.
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RiskSpan Edge
Uncovering critical insights and reducing potential risks linked to loans and structured financial instruments is crucial in today's market. Employ data analysis and predictive modeling methodologies to generate forecasts encompassing a range of scenarios while evaluating Agency MBS, mortgage assets, loans, and structured products. The expert consultants at RiskSpan will customize and develop tailored solutions, optimize your workflows, and improve your analytical capabilities. Leverage the advantages of cloud-based technology, machine learning, and artificial intelligence to boost growth, refine model development processes, and enhance data management. By incorporating these sophisticated tools, organizations can make better-informed decisions and react promptly to shifts in the market landscape. This approach not only drives efficiency but also positions companies to thrive in an ever-evolving financial environment.
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