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Selected projects

For reasons of confidentiality we do not name clients in public. In a personal conversation we are glad to give more specific information.

More than 15 years of project experience in banking, insurance and commerce — from enterprise data warehouses and regulatory applications to AI automation and our own products. A selection:


Enterprise data warehouse for a Swiss insurer

Branche: Insurance |  Zeitraum: 2015–2017  |  Rolle: Data integration & architecture

Starting point: A reporting landscape that had grown over time across several insurance products, plus bank data from an acquired subsidiary. Separate data stores, inconsistent definitions, no shared foundation.

Aufgabe: A new enterprise data warehouse across all product lines — while the legacy systems stayed in operation.

Solution: Overall architecture with a bypass for parallel running, a BI layer and marts, restartable load concepts, web-service returns, automated tests and row-level permissions.

Ergebnis: A shared data foundation across all lines; specialist teams produce their own reports, and results are traceable back to the source.

Technologies: SAS DI Studio, SAS Enterprise Guide, Oracle, DB2, CA ERwin, PowerDesigner, Toad, SOAP

Details of this project →


Regulatory applications for a major bank

Branche: Banking  |  Zeitraum: 2010–2012  |  Rolle: Development & technical project leadership

Starting point: After several banks were acquired, data sat in different core banking systems — while supervisory requirements kept rising.

Solution: Four applications: AML, automated credit decisions, deposit guarantee and FATCA — from development through to taking over operations.

Ergebnis: Production applications in a supervisory environment, with documented processes and controlled batch processing.

Technologies: SAS Base/Macro/Access/DI Studio, Oracle, DB2, AIX, Unix Shell, Control-M

Details of this project →


Platform migration to the cloud

Branche: Retail |  Zeitraum: 2021–2022  |  Rolle: Development & systems engineering

Aufgabe: Migration of CRM and reporting systems to the cloud while operations continued.

Solution: Teradata → Google BigQuery / Teradata Cloud, reengineering of existing scripts, inclusion in batch operations, new web front ends for reporting and campaigns.

Ergebnis: Reporting and campaign systems run on the new platform — without interrupting daily business.

Technologies: SAS, Teradata, Google BigQuery, Google Cloud, Linux, Shell


IFRS 17 at an international reinsurer

Branche: Reinsurance |  Zeitraum: 2019  |  Rolle: Development & analysis

Solution: IFRS 17 concept and data analysis on OLAP cubes, risk reports, reports and dashboards, review of the business marts, training for specialist teams.

Ergebnis: A reliable data foundation for the changeover — and specialist teams that work with the reporting tools on their own.

Technologies: SAS Base, SAS Enterprise Guide, Oracle, Microsoft SQL Server Analysis Services (OLAP)


Platform migration at an insurer

Branche: Insurance |  Zeitraum: 2014–2015  |  Rolle: Migration concept & implementation

Aufgabe: Full migration of the analysis systems from z/OS to Linux — concept, test environment, production go-live.

Ergebnis: A production analysis environment on Linux, defined from the test environment and fully documented.

Technologies: SAS 9.2/9.4, z/OS, Linux, DB2, Citrix, RACF


AI-supported automation

Branche: In-house development & client projects |  Zeitraum: seit 2024

Flow-based systems, API connections and AI-supported reporting — with monitoring and documented error handling.

Details →


Our own product: MeetFlow

Branche: In-house development |  Zeitraum: seit 2026

Appointment booking, video meetings and messaging in one WordPress plugin — in daily use ourselves.

Details → · MeetFlow website


Do you have a project in mind? Book a free initial consultation — no obligation and no sales pressure.