Data Strategy & Consulting
Know what your data can support before you spend a budget on it.
A structured assessment of your data estate, its quality, and where it creates measurable return — delivered as a ranked roadmap rather than a vendor pitch.
Strategy Before Spend
Most organisations do not have a data problem. They have an unclear-priorities problem wearing a data problem as a disguise. Teams buy a warehouse before knowing what questions it should answer, or commission a model on data that was never going to support it.
We start by mapping what you actually hold: sources, ownership, quality, freshness, and the decisions that currently depend on each. That map usually reveals that the highest-value work is smaller and duller than expected — and considerably more achievable.
We are deliberately vendor-neutral. We do not resell licences and take no commission from platform vendors, so when we recommend a tool it is because it fits your team and budget. Sometimes the honest recommendation is that your existing stack is fine and the problem is process.
Service Inclusions
Data Estate Audit
Complete inventory of sources, ownership, quality, and freshness — including the shadow spreadsheets everyone actually uses.
Opportunity Scoring
Every candidate use case scored on business impact, data readiness, and delivery effort, so prioritisation is evidence-based.
Reference Architecture
A target-state design with a migration path, sized to your team rather than an idealised org chart.
Build-vs-Buy Analysis
Honest total-cost comparison across managed platforms and in-house builds, including the maintenance cost nobody budgets for.
Governance Readiness
Assessment against GDPR, CCPA, HIPAA, or SOC 2 obligations, with the gaps that need closing before scaling.
Team & Skills Review
What your current team can operate and maintain, and where hiring or training genuinely changes what is possible.
A Process Built for Clarity
No black boxes. No surprise invoices. Every project at Mornis Global follows a disciplined four-phase process designed to reduce risk and maximise value at every stage.
Discovery Interviews
Structured sessions with leadership, analysts, and engineers to map decisions, pain points, and existing workarounds.
Technical Audit
Hands-on review of sources, schemas, pipelines, and quality — measured rather than taken on trust.
Opportunity Mapping
Candidate use cases identified and scored on impact, feasibility, and data readiness.
Architecture & Costing
Target-state design with tooling options, migration path, and realistic running costs.
Roadmap & Handover
Prioritised roadmap with sequencing, dependencies, and effort estimates, walked through with your team.
The Tech Stack
We select technologies based on performance, scalability, and long-term maintainability, not trends.
dbt
Specialized implementation of dbt in the Transformation space.
Snowflake
Specialized implementation of Snowflake in the Warehouse space.
Databricks
Specialized implementation of Databricks in the Lakehouse space.
BigQuery
Specialized implementation of BigQuery in the Warehouse space.
Airflow
Specialized implementation of Airflow in the Orchestration space.
Great Expectations
Specialized implementation of Great Expectations in the Data Quality space.
Real-World Impact
Regional Insurance Group
The Challenge
“Leadership had approved budget for a data lake without a clear view of which decisions it would improve. Three competing internal proposals were on the table.”
The Solution
We ran a three-week assessment covering 14 source systems, interviewed 20 stakeholders, and scored 11 candidate use cases. Two of the three proposals addressed problems that were process issues rather than data issues.
Key Performance Indicators
Common Inquiries
Everything you need to know about our specialized services.
What Should You Build First?
Tell us what decisions your business is making blind. We will assess honestly whether your data can support them today.