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Public sector & housing regulation

Housing Ombudsman Service

A governed platform,
from the ground up.

Enterprise Azure and Microsoft Fabric architecture bringing casework, HR, finance and operational data into a shared, governed foundation.

Architecture & integration

ADLS Gen2 Bronze, Silver and Gold layers, segmented by business domain and sensitivity. Azure Data Factory and Fabric pipelines connected legacy Oracle, HR and cloud sources.

Governance in the design

  • Microsoft Purview and a role-based permissions matrix.
  • Entra ID controls and separated development, test and production environments.
  • Terraform provisioning, architecture decision records and documented delivery risks.
  • Engagement with Information Governance to support Secure by Design and DPIA requirements.
Delivery focus

A repeatable, maintainable platform design with governed data layers, clear responsibilities and Power BI semantic models.

trust belongs in the foundations

Data governance.
Built in from day one.

Useful data needs clear rules. We design around your regulatory obligations, security requirements and the people responsible for your information.

Know your data

Clear ownership, sensitivity classification and an agreed purpose for each dataset. Retention and deletion requirements shape the design.

Control who can access it

Least-privilege access, Entra ID and role-based permissions, with secure integration and separation of development, test and production.

Make it trustworthy

Source-to-target validation, shared definitions and traceable transformations. Quality checks make reporting discrepancies easier to find and resolve.

Keep the evidence

Documented decisions, lineage, change records and agreed review points. Practical evidence to support your governance and compliance responsibilities.

Regulatory requirements into implementation

Controls that fit your obligations.

We work with your information governance, security and compliance owners to identify applicable requirements, including UK GDPR where personal data is involved, sector obligations and internal policies. These become agreed technical controls, acceptance criteria and review evidence.

  1. Define the requirements. Map data flows, ownership and risks; support DPIA inputs where needed.
  2. Build and validate. Implement agreed access, data quality, retention and audit controls, then test against the requirements.
  3. Review and maintain. Agree sign-off with accountable owners, document responsibilities and plan ongoing control reviews.

The controls and approvals depend on the data, system and applicable obligations. A cloud platform alone does not establish regulatory compliance.

what could this look like for you?

Let’s review your data,
systems and next steps.

Your initial review and proposal are free. We’ll discuss your goals, current setup and governance requirements before recommending an approach.

Request your free review

Case studies describe Makhosini Makhetho’s individual professional engagements. They illustrate the experience behind SINICONSULTING and do not imply endorsement by the organisations named.