Data Science & Engineering
Infrastructure your analytics and models can actually depend on.
Pipelines, warehouses, governance, and analytics — engineered so the numbers hold up. We turn scattered operational data into a platform your reporting, forecasting, and machine learning are safe to build on.
Data Science & Engineering Services
Every service is a standalone engagement or can be combined as part of a larger product build.
Data Strategy & Consulting
Vendor-neutral assessment of your data estate, its readiness, and where it creates measurable ROI.
Data Engineering & Pipelines
Batch and streaming pipelines built for correctness, observability, and predictable cost.
Predictive Analytics
Forecasting, propensity, and churn models that inform decisions rather than sitting in a notebook.
BI & Dashboards
Governed semantic layers and reporting where every metric has one agreed definition.
Data Platform Architecture
Warehouse and lakehouse design on AWS, GCP, or Azure — built for governance and cost control.
Data Governance & Quality
Lineage, automated testing, and access control that keep data trustworthy as it scales.
Why Mornis Global for Data?
Data work is engineering. We treat it that way.
Correctness Before Dashboards
Every pipeline ships with tests, lineage, and freshness checks. A dashboard built on unverified data is worse than no dashboard — it produces confident wrong decisions.
We Start With an Audit
Before proposing architecture, we map what data you hold, where it lives, and how reliable it is. Sometimes the honest answer is that your data cannot yet support the use case.
One Definition Per Metric
A governed semantic layer means revenue means the same thing in every report. No more reconciling three spreadsheets that disagree.
Built for Handover
Documented, tested, and explainable. Your team should be able to own the platform after we leave — dependence on us is not a business model we want.
How We Deliver Data Platforms
Audit first, architecture second, code third.
Data Audit
We inventory your sources, assess quality and completeness, and document what your data can and cannot currently support.
Architecture & Modelling
Warehouse or lakehouse design, dimensional modelling, and tooling selection — documented and agreed before development starts.
Pipeline Build
Incremental delivery of tested, observable pipelines. You see working data flowing within weeks, not at the end of the engagement.
Semantic & Analytics Layer
Governed metric definitions and dashboards, so your team self-serves without a data analyst in the loop for every question.
Governance & Handover
Access controls, lineage documentation, runbooks, and training so your team can operate and extend the platform independently.
“Our reporting was a sprawl of spreadsheets that disagreed with each other. Mornis Global built a governed semantic layer and dashboards on top of it. Board reporting that consumed a week now takes an afternoon, and the definitions no longer shift depending on who ran the query.”
David Smith
Director, GreenEarth
Can You Trust Your Numbers?
Tell us where your data lives and what decisions depend on it. We will tell you honestly what it can support today and what it would take to get further.