Dashboards and monitoring systems

Dashboard and monitoring system development: we collect data from different systems into one picture and show what decisions are actually made on.

Analytics starts with questions rather than with charts. What does acquiring a client cost and does it pay off. Where do requests get stuck and why. Which clients come back and which leave after the first time. Until the questions are stated, any dashboard turns into a wall of pretty numbers nobody looks at beyond the first week.

So we come at it from the other side: we find out which decisions you make regularly and which data you lack for them. Then we look at where that data sits today, and it usually turns out to sit in four places and to disagree with itself. Bringing it into one picture is the main body of the work.

Two things often called by one word are worth separating. Monitoring is technical health: is the service running, how many errors, where the queue is, who to wake at night. Business analytics is money and how people behave: sales, requests, retention, the funnel. We do both, but they are built differently and solve different problems.

The data usually comes from corporate systems and online services, and it is collected and served by the backend. The technical side of monitoring lives next to infrastructure, search across accumulated data and triage of enquiries can be strengthened with language models, and the bottlenecks you find are closed by business process automation. If it is unclear what to measure and why, start with business consulting or an audit. Examples of our work are the Ubix.Network ecosystem analytics and the staking platform.

01

What the service covers

Any combination of the items below can be taken on its own.

Dashboards for the business

Sales, requests, funnel, retention, workload by department. Different screens for a manager and for the person working with the figures every day.

Monitoring systems

Service health, errors, queues, response times, alerts. Plus long-term logs that show how the load changes and where a problem is building up.

End-to-end analytics

We connect advertising, enquiries and money, so that what you see is not the number of clicks but what they turned into.

Data collection and storage

Exports from CRM, the accounting system, the website, the app and external services, brought to a single shape and into a store you can calculate anything from.

Product analytics

Where people stop, what they do not tap, which steps take them longer than the rest. After that you fix what gets in the way rather than what seems to.

Reports and exports

Scheduled regular reports, exports in a convenient format and access by role, because not everyone needs to see everything.

02

How we work

01
Questions the business asks

Which decisions are made regularly, which data is missing for them, which metrics are genuinely needed. The output is a list of indicators and an estimate.

3-5 days
02
Review of the sources

Where the data sits, how complete it is, where it disagrees and what will have to be recalculated. Usually the least pleasant part, and there is no way around it.

1-2 weeks
03
Collection and storage

Exports, bringing data to a single shape, regular refreshes and integrity checks.

from 2 weeks
04
Dashboards and alerts

The first screen on real data, then refinement from feedback. Alerts are tuned so that people react to them rather than switch them off.

in parallel
05
Maintenance

New metrics, new sources, support and analysis of discrepancies.

ongoing
03

Stack and tools

PythonTypeScriptNode.jsC#PostgreSQLClickHouseRedisGrafanaPrometheusLokiMetabaseDockerKubernetes
04

Cases for this service

05

Frequently asked questions

With three to five questions you need answers to every week. That is enough to build the first dashboard on real data and to see what is missing from the data.

Monitoring is about technical health and alerts, analytics is about money and how people behave. Both are often needed, but they are built differently and different people look at them.

Often they will, and we will say so. Your own is needed where the data is scattered across several systems, where it has to be calculated by your rules, or where the volumes are large.

Usually because different systems count the same thing differently: the date, the status, a refund, a repeat order. We write the metric definitions down, and after that everyone counts the same way.

We collect the minimum needed, separate access by role and, where required, deploy everything inside your own perimeter.

Everything is set by the contract, and we put it in writing at the specification stage, before the work starts. During the project the team works either on our infrastructure or on yours: the choice depends on the complexity of the project and on whether you already have infrastructure in place. Every approved stage is transferred to your servers and your repository, so the work accumulates on your side rather than ours. Once the project is closed, all code, materials and documentation are handed over to you together with the rights to them.

Yes, under a separate agreement: new metrics and sources, on-call duty for alerts, analysis of discrepancies.

06

Related services

Shall we discuss your task?

Tell us what needs to be done and we will come back with an estimate, the team composition and a plan for the first two weeks.

2026 FAMOUS.TEAM digital interactive agency