Run the business on evidence, not on whose spreadsheet won.
Scattered data unified into one trusted model, reliable pipelines feeding it, and dashboards built around the decisions you actually make — so leadership meetings start from agreed numbers instead of arguing about them.
Understanding the discipline
What it takes to make data a decision, not a debate.
Most organisations don't lack data — they lack agreement about it. The numbers live in five systems, each with its own definition of a customer, an order, or revenue, so the same question returns five answers. The work is joining those sources into one model where a metric means one thing, everywhere, to everyone.
A dashboard is only the last inch. Behind it sits the harder engineering — pipelines that pull from every source on a schedule, transformations that clean and reconcile the data, and monitoring that catches a broken feed before it reaches a leadership deck. Get that right and the insight is trustworthy; skip it and the chart just launders a guess.
Numbers move from five disagreeing spreadsheets to one source of truth.
Metrics get a single agreed definition instead of one per department.
Reporting shifts from manual assembly to pipelines that refresh themselves.
Decisions get made on evidence rather than on instinct and seniority.
Unify
Scattered sources joined into one reliable, governed model where each entity means exactly one thing.
See
Dashboards built around the decisions leaders actually make, rather than every chart the data could produce.
Trust
Quality and refresh monitoring, so the numbers hold up when someone challenges them in the room.
The business case
Why businesses invest in data analytics & insights.
Returns that show up on the business, not on the engineering backlog.
- 01
One source of truth
The same number, whoever asks and wherever they look — which is what ends the argument about whose export is right.
- 02
Faster decisions
Answers ready on a dashboard rather than assembled by hand overnight, so the meeting starts where it used to finish.
- 03
Opportunities you can't see now
Patterns that stay hidden while data sits siloed, surfaced where a decision can actually act on them.
- 04
Confidence in the numbers
Metrics defined, monitored, and defensible — so a challenged figure has an answer rather than a re-export.
What we build & capabilities
The things you can commission — and what each one ships with.
Defined engagements, one at a time: the thing itself on screen, and the capabilities that come with it.
01 / 06
A unified data model
Every source — CRM, finance, product, operations — joined into one structure where a customer, an order, and revenue each mean one thing. The foundation every reliable number is built on.
Capabilities
- Source mapping
- Entity modelling
- Warehouse design
- Historical loads
- Governed schema
Business outcomes
Where the business is today, and what changes.
The operational difference, in the terms the business already measures itself in.
Faster, data-driven decisions
Single source of truth
Uncovered opportunities
Industries we serve
The same discipline, shaped to your sector.
Regulation, procurement and legacy estate differ by industry — and the engagement is shaped around them, not in spite of them.
Our engineering process
How the engagement actually runs.
Every stage has an owner, an output, and a point where you can change direction.
01
Discover
The decisions the data has to serve, mapped before any table is touched.
02
Audit the sources
Every system, its definitions, and where they disagree, catalogued.
03
Model
A unified data model designed so each entity and metric means one thing.
04
Build the pipelines
Automated ingestion, cleaning, and reconciliation into the warehouse.
05
Define the metrics
Business logic agreed and documented, so numbers stop being contested.
06
Build the dashboards
Views shaped around the decisions, reviewed with the people making them.
07
Monitor
Quality and refresh checks put in place so the data stays trustworthy.
08
Iterate
New questions, sources, and metrics folded in as the business asks more of the data.
Why Sumago
Why teams choose Sumago.
The technology partner serious businesses build with — and stay with.
Business understanding first
We understand the business before writing a line of code.
Strategic consulting
A consultative partner, not just a development shop.
Multidisciplinary team
Analysts, architects, designers, engineers, cloud & AI specialists, QA.
Transparency
Clear communication in every engagement.
Engineering quality
High standards, scalable and secure architecture.
Long-term partnership
Support and improvement long after delivery.
Technology ecosystem
Mainstream technology, chosen so you can hire for it later.
The stack is a means, not a position. It gets chosen against your constraints — and it stays maintainable by people who aren't us.
- Slack
