Banking Data Platform

A consolidated, bank-wide data view for informed decision-making

Strategic decisions require a reliable data foundation. Consolidate, harmonize, and analyze relevant data from your core and surrounding systems within a centralized data platform tailored to your bank –– enabling comprehensive, secure, and reliable decision-making.

A robust data foundation is essential for effectively developing customer segments, positioning new products, managing risks, and aligning your bank’s strategic direction.

The reality: Relevant data is fragmented across multiple systems and lacks standardization, limiting its availability for effective decision-making.

The solution: A central banking data platform that automatically aggregates and consolidates data, making it available for informed business decisions –– and fully compliant with security and compliance guidelines.

Your challenges

Relevant data fragmented across applications

Complex Avaloq/Finnova data models

Scaling isolated AI prototypes into bank-wide applications

Our solution

A centralized platform that integrates data from the applications you define

A customizable, extensible banking data model

A systematic approach to consolidating bank-wide domain expertise, data assets, and organizational units

Your benefits

  1. A solid foundation for strategic decision-making
  2. A consistent, comprehensive data view, tailored to your needs
  3. Readiness for ‌future use of advanced analytics and AI
  4. Clear separation between operational systems and strategic analytics
  5. GDPR- and FINMA-compliant

Successful implementations

Learn more in our webcast

Modern Banking Data Platforms

  • Discover best practices for building modern banking data platforms.

  • Case study from a private bank on building a Microsoft Fabric data platform.

  • Why modern data platforms are the foundation for future value creation through AI.
  • Speakers:
    Daniel Welter, Head of IT & Data Globalance
    Thomas Maier, Director Solutions Engineering Datahouse 
    Severin Trösch, Head AI Datahouse

  • Date/Time: May 12 2026, 12 – 1pm

Our approach

  1. Goal-oriented approach
    Tailored solutions for your bank that enable rapid implementation and deliver measurable value early in the process.
  2. Bank-specific, scalable banking data model
    Aligned with your Avaloq or Finnova setup, providing a stable foundation for scalability, reusability, and long-term investment security.
  3. Platform setup and integration of relevant source systems
    Integration of Avaloq or Finnova, Dynamics, Salesforce, SAP, and other systems. This decouples analytics from the core operational system and creates flexibility for future changes.
  4. Standardized, proven data pipeline
    Structured processing based on the Medallion Architecture, from raw data to harmonized data to decision-ready insights.
  5. Data utilization
    Dashboards, reports, data products, and APIs that support informed business decisions, analytics, AI applications, and downstream systems.

Our clients

Zürcher Kantonalbank

Development of a customized advisory portal

Consolidation and processing of internal and external data sources

Vontobel

Development of an internal platform and portfolio optimizer

Consolidation and processing of internal and external data sources

Globalance

Design and implementation of a Microsoft Fabric data platform

Centralization of bank-wide KPIs

Schedule your free expert consultation today

Thomas Maier

Director Solutions Engineering

With over a decade of experience in data preparation and modeling, I support our clients in gaining valuable insights and predictions from complex data.

thomas.maier(at)datahouse.ch

Datahouse – Experience. Banking focus. Implementation expertise. Since 2005.