All servicesConsulting

Run the business on evidence, not on whose spreadsheet won.Data Analytics & Insights

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.

Five systems that disagree with each other
One unified model where a number means one thing
Meetings that start by arguing whose spreadsheet is right
Meetings that start from numbers everyone already trusts
Reports assembled by hand, overnight, every time
Dashboards that refresh themselves on schedule
“Active customer” means something different per team
One agreed definition for every metric that matters
Opportunities buried in siloed, unqueried data
Patterns surfaced where a decision can act on them

Faster, data-driven decisions

Single source of truth

Uncovered opportunities

Our engineering process

How the engagement actually runs.

Every stage has an owner, an output, and a point where you can change direction.

  1. 01

    Discover

    The decisions the data has to serve, mapped before any table is touched.

  2. 02

    Audit the sources

    Every system, its definitions, and where they disagree, catalogued.

  3. 03

    Model

    A unified data model designed so each entity and metric means one thing.

  4. 04

    Build the pipelines

    Automated ingestion, cleaning, and reconciliation into the warehouse.

  5. 05

    Define the metrics

    Business logic agreed and documented, so numbers stop being contested.

  6. 06

    Build the dashboards

    Views shaped around the decisions, reviewed with the people making them.

  7. 07

    Monitor

    Quality and refresh checks put in place so the data stays trustworthy.

  8. 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.

One source of truthCertified processPipelines you can trustDecisions on evidenceInsight that scales

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.

Data pipelines / ETLDashboards & BIData warehousingVisualization
  • Slack

Proof of work

Work that has already shipped.

Real engagements, named clients, and what changed for the business behind them.

A Single Command Center for a Medical Equipment Business
Healthcare

A Single Command Center for a Medical Equipment Business

Client challenge
A medical-equipment enterprise carried an unusually complex operation: selling new and refurbished machines, distributing partner brands, and honoring years of maintenance commitments — often across more than one company. Each of these lived in its own tools and ledgers, and the seams between them leaked value. Quotations went cold, stock counts drifted from reality, long-term service contracts lapsed unnoticed, and leadership worked from numbers that were always a step behind. Growth only widened the cracks.
Our solution
A centralized ERP that runs the entire business on one connected, document-driven flow. Every customer relationship moves cleanly from quotation through fulfillment to payment, with nothing falling between the stages — while inventory, procurement, service contracts, and multiple business lines are managed under a single roof. Leadership gains a live command center across the whole operation, and each function draws on the same current, trusted data instead of its own private version of the truth. ### The platform One responsive web platform, unified across one or many companies, with a role-based view for each team: - **Sales** — *manage customers and move every deal from quotation to order* on a single connected flow. *How it helped:* stopped quotes from going cold and tied every document back to its account. - **Service** — *track maintenance contracts (AMC/CMC) across their full life.* *How it helped:* turned lucrative service relationships into deliberately managed revenue instead of forgotten commitments. - **Inventory & procurement** — *keep a real-time view of stock and purchase to actual demand.* *How it helped:* kept the right products available without tying up cash in overstock. - **Finance** — *manage invoicing and payments in step with operations.* *How it helped:* kept the money side as current as the sales side, closing revenue leaks. - **Leadership** — *see sales, service, and stock live* across every company. *How it helped:* gave a single, trusted picture of a complex, multi-entity business. ### Architecture highlights - **Multi-company data isolation** — several business entities run on one platform with strict separation of their data. - **Document-driven state machine** — the quotation-to-payment lifecycle is modeled as controlled state transitions, so no record can skip or corrupt a step. - **Transactional integrity** — financial and inventory operations are atomic and consistent, protecting the numbers leadership relies on. - **Compliance-grade audit trails** — every action is traceable, meeting the accountability a medical-equipment business demands. - **Role-based access with secure data handling** — sensitive data is protected and every action is scoped to a role. ### Technology stack Built on the **MERN stack** (MongoDB · Express.js · React · Node.js) for a real-time, multi-company web platform.
Business impact
With the operation unified, revenue is captured end to end rather than lost in the handoffs, stock reflects reality, and lucrative service relationships are managed deliberately instead of by memory. Multiple companies and product lines run in concert rather than in silos, and leaders see the true state of sales, service, and inventory in real time. The business stops spending its energy reconciling systems that disagree — and starts compounding on a backbone built to scale.

Enterprise Resource Planning · Document-Driven Workflow · Service Contract Management · Inventory Control · Multi-Company Operations · Executive Dashboards