Architecture, quality, and operating rules

Data strategy and cloud foundations for analytics that can scale.

A focused service pillar for defining how data is moved, owned, trusted, documented, accessed, and used across reporting, analytics, and AI.

Core coverage

Cloud, quality, access, lineage

Compliance lens

GDPR-aware operations

Best fit

Teams scaling analytics usage

What this service covers

A focused service page for data foundations.

This page separates the service from the broader BI Solutions offer, so clients and search engines can understand the exact problem area, delivery scope, and expected outcomes.

A clearer target-state architecture for data, reporting, and operational systems

Clear ownership around core datasets, metrics, and reporting assets

Reduced risk from uncontrolled data access, undocumented transformations, and shadow reports

Better trust in dashboards and AI workflows because source and quality rules are explicit

Governance that supports delivery instead of slowing every project down

Typical scope

Service components

  • Azure, AWS, GCP, Snowflake, BigQuery, and Databricks planning
  • Data quality and lineage design
  • Access controls and governance workflows
  • GDPR-aware process design
  • Documentation and stewardship frameworks

Delivery approach

How the work usually moves

1

Assessment of systems, data assets, owners, access patterns, quality risks, and documentation gaps

2

Cloud and governance model covering ingestion, storage, stewardship, access, change control, lineage, and escalation paths

3

Metric and data-quality rules that can be adopted by BI, analytics, and business teams

4

Practical documentation templates and operating guidance for ongoing governance

Good fit

When to use this service.

Use case 1

A company wants to move reporting from local files or legacy servers into a managed cloud setup

Use case 2

Multiple teams use conflicting numbers for the same KPI

Use case 3

Sensitive data is used across reports or AI workflows without enough operating control

Use case 4

A company wants to scale BI and analytics while keeping trust, ownership, and compliance clear

Related services

Keep the broad BI Solutions offer, with sharper entry points.

Each service can stand alone for search and client clarity, while still connecting back to the wider analytics, AI, BI, and digital delivery offer.