Quentin CasaresData and AI leadership for regulated growth
Advisory

CTOs, CDIOs, CIOs and transformation sponsors in regulated and PE-backed businesses

Data architecture and platforms

Target architecture and platform delivery a regulated business can defend: built, run and governed, not only designed.

A platform decision is due, the vendor slides all disagree, and the business needs data products it can name owners for.

What changes

Three outcomes this practice is built to deliver.

  • 01

    A target architecture with the total cost and exit assumptions written down: lakehouse, warehouse or hybrid

  • 02

    Data products for finance, risk, customer and regulatory reporting with named owners and contracts

  • 03

    A platform built and run in production, on Microsoft Fabric over Azure Databricks, Synapse and Data Factory where that is the right answer

Evidence

Case evidence behind this practice.

Volante Global

Building a data function and commercial platform from the ground up

Situation
A specialty insurance business with no data function and no data platform.
Intervention
Built the function and the commercial data platform, implementing Microsoft Fabric as the primary reporting and exploration platform over Azure Databricks, Azure Synapse and Azure Data Factory.
Measurable result
The engineering, analytics and governance foundations the business runs on.
Relevance
For PE-backed and growth businesses that need a platform and a team where neither exists.

Capabilities

What this practice covers.

  • Enterprise data architecture

Next step

Discuss a platform decision