DESIGN – TRANSFORM – DELIVER
Framework

Architecture and Operating Model Design
We help financial institutions translate strategic objectives into robust enterprise architectures and operating models, aligning Finance, Treasury and ALM, and Risk Management with front and back offices.
- Target Operating Model definition: creating the strategic vision for future proof finance and risk functions through our business-driven framework
- Target Architecture Model Design: defining target business and IT architectures from the strategic vision
- Regulation interpretation and impact definition: preparing the organization for required changes in data, processes, systems, and functions.
- Finance & Risk Governance definition: breaking the silos across the end-to-end process chains and clarifying roles & responsibilities.

Business and IT landscape transformation
Successful transformation requires more than technology.
We help financial institutions redesign and implement business and technology landscapes that improve efficiency, strengthen control, and enable future growth.
- Landscape transformation: quantified business Case definition with concrete business change drivers and design principles
- Vendor selection and sourcing: with the initial target architecture as backbone, we help you develop the foundation for your selection process as well as the selection itself, from RFI and RFP processes up to the vendor negotiations.
- Program Leadership and Governance: defining and (co-)leading the transformation organization, representing the client in close collaboration with vendor
- Process Standardization and Automation: including data integration across the E2E value chain
- Data Migration: planning and execution with audit trail, documented validation and reconciliation
- Business Readiness & Change Adoption: ensuring the business is fully aware of the change and equipped to benefit from the transformed landscape

Data Management
Trusted decisions require trusted data. We help organizations establish a robust data management that improves the data quality, strengthens governance, and satisfies the increasing regulatory expectations.
- Data (Integration) Architecture: designing the data solutions and exchanges between users, processes, and systems
- Data Modelling: conceptual, logical and physical definition of data models
- Data Governance: defining your data governance, roles & responsibilities, as well as the governance processes to manage data quality

Analytics
To complement our consulting capabilities, we established Mount Analytics in 2024.
Advanced analytics and AI are transforming the way financial institutions operate.
Mount Analytics specializes in data science, advanced analytics, data platform engineering, and AI-driven solutions. Together, we help Finance, Treasury, ALM, and Risk functions leverage these techonologies to enhance decision-making, automate processes, and uncover new opportunities.
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