Case studies /
Client outcomes: evidence-backed lessons for data and AI leadership.
Each case study uses approved proof library items and separates context, intervention, measurable result, and board-level lesson.
Case studies
Published case studies
01
BCBS239 data confidence programme
BCBS 239 data remediation with PwC, Microsoft Purview deployed across the critical data estate.
02
AI governance working group operating model
A case study on creating practical AI governance rhythms for use-case intake, executive oversight, and regulated adoption.
Client outcomes
Selected client outcomes
01
Critical Data Element governance and audit evidence
Alpha Bank London
- Situation
- A bank replacing its core banking platform while under BCBS 239 remediation, with an estate of more than 10,000 data elements and no settled ownership of the ones that mattered.
- Intervention
- Implemented complex processes for identifying, capturing and monitoring Critical Data Elements, with ownership, lineage and quality standards supported by Microsoft Purview. Led the Finding 13k remediation with PwC, and founded the Data and AI Governance Working Group.
- Measurable result
- The Deloitte FY25 audit evidence base closed with no material findings.
- Relevance to you
- For any regulated firm that must show a supervisor which numbers can be trusted, and why.
02
£2m+ efficiencies and improved data quality
HSBC
- Situation
- An EMEA data, reporting and analytics portfolio across more than 30 countries, accountable to the HR Executive Committee, with rising cost and uneven quality.
- Intervention
- Ran the Accenture and Deloitte delivery partnerships, rolled out Oracle OBIEE on a data lake, implemented Collibra as the governance catalogue and led GDPR technical compliance across the region.
- Measurable result
- £2m+ in cost efficiencies and a 40% improvement in data quality.
- Relevance to you
- For executives who need cost out of the data function without losing control of quality.
03
Leadership across 30+ countries and a 40+ person team
HSBC
- Situation
- A blended team of more than 40 analysts and engineers, onshore and offshore, serving a portfolio of more than 30 countries.
- Intervention
- Set the operating model, held the delivery partners to outcomes and reported to the HR Executive Committee.
- Measurable result
- One regional reporting and analytics function, accountable to the executive committee, delivering across the whole portfolio.
- Relevance to you
- For sponsors who need one senior owner across countries, vendors and blended teams.
04
Building a data function and commercial platform from the ground up
Volante Global
- 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 to you
- For PE-backed and growth businesses that need a platform and a team where neither exists.
05
Improving data quality across the probation services estate
MTC UK
- Situation
- Probation services data feeding operational decisions and reporting to the Director of Probation Services, with quality below what those decisions needed.
- Intervention
- Led the data, analytics and insight function and its data quality programme.
- Measurable result
- A 23.7% improvement in data quality across the estate.
- Relevance to you
- For public sector and regulated operations where data quality is a service risk, not a reporting nicety.