Banking · Case study

Clarifying who owns data across a bank.

A bank redesigned its data-management responsibilities and defined a practical path to a more mature operating model.

Spheres grouped by material and size on a metal shelf, with burgundy accents and a small unsorted cluster beside it, illustrating data governance.
Data governance & operating modelConceptual illustration.

Client context

The business context.

A bank was undertaking a major technology renewal when concerns about its data-management model became more pressing. Earlier initiatives had largely responded to regulatory requirements, leaving responsibilities distributed across the organization.

The bank lacked an integrated view of its data-management functions and an agreed organizational model. Management needed to determine the right scope, responsibilities and organizational position for a data-management unit, while distinguishing immediate needs from longer-term maturity.

The work

How the engagement was delivered.

  • Map the responsibilities

    Analyzed the existing data-management functions and organized their responsibilities into a common framework.

  • Compare organizational options

    Used international benchmarks and different levels of data-management maturity to assess alternative models and their organizational fit.

  • Define the transition

    Recommended a near-term model for the data-management unit and an evolution path toward the longer-term organization, specifying scope and functions.

What changed

A defined model and a route to greater maturity.

The engagement gave management a set of organizational options, a recommended starting model and a longer-term development path. The result was a design and transition recommendation for data management, providing a basis for subsequent implementation decisions.

Our services

Related areas of support.

Your next decision

Discuss a similar mandate.