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Case studies

Banking and financial services

Private bank

Response

Radical optimisation of costs and operational performance, on the existing platform.

30%

reduction in Azure and Databricks billing

−30%

Challenge

A data platform on Azure whose processing costs were spiralling, with critical latencies on regulatory reporting.

The engagement

  1. 03.1

    FinOps and performance audit

    A precision diagnosis of the Databricks clusters and Azure Data Factory pipelines, to identify the root cause of the costs and the optimisation strategy.

  2. 03.2

    Processing optimisation

    Compute logic redesigned and smart sizing policies applied: 40% less processing time.

  3. 03.3

    Cost rationalisation

    An immediate 30% reduction in Azure and Databricks billing through resource restructuring, with no loss of compute power.

Impact

  • A high-performing platform
  • Budgets under control
  • Greater agility for the risk management teams

Contact

Your context will be different.

The performance, governance or industrialisation levers may still be comparable.