82%
of companies say they're seeing growing value from data, but most still struggle to operationalise it.
BARC, 2023
AI & Data
Dashboards your team actually trusts.
Most analytics work ends with a dashboard nobody opens twice. We build data products, design the visualisation layer and embed analytics in the workflows where decisions get made. The numbers match across teams and the answers show up before they're asked.
From raw data to decisions, in the surface your team already uses.
You have BI tools. You have a warehouse. You have dashboards. And yet "what does this column mean?" still doesn't have a single answer, and three teams produce three different numbers for the same KPI. We fix the surface and the foundation. Semantic models so the numbers match. Visualisation layers your stakeholders trust. Embedded analytics in the product, the CRM, the operations console, wherever the decision actually happens. And the pipelines underneath, built so freshness and quality don't depend on the one engineer who remembers.
By the numbers
Data is everywhere. Quality decisions are not.
The gap between data and decision is wider than most leaders realise. The numbers tell the story.
67%
of business leaders don't fully trust the data their organisation uses to make decisions.
KPMG, 2023
5×
higher revenue growth for data-driven organisations vs. peers.
McKinsey, 2024
70%
of business users say they don't have the data access they need to do their jobs.
Forrester, 2024
What you get
A full analytics capability, from semantic modelling to embedded surfaces, that stakeholders trust and use.
Dashboards your stakeholders actually trust
Power BI, Tableau, Looker, Metabase, Superset. Picked for fit. Designed for decisions, not for impressive screenshots.
Semantic models so the numbers match
A single source of truth for KPIs and dimensions. Three teams stop producing three different revenue figures for the same quarter.
Embedded analytics in the workflow
Charts and decision aids in the product, the CRM, the ops console. Insight where the call gets made, not in a separate BI tab nobody opens.
Self-service analytics that doesn't drift
Governed metric definitions, certified datasets and curated data marts so business users explore without breaking trust in the numbers.
Freshness and quality you can audit
Freshness SLAs, anomaly monitoring, lineage and data contracts. When a number changes, you know why before anyone asks.
AI-assisted analytics where it earns its keep
Natural-language data queries, automated insight generation, anomaly explanation. Integrated against your data, with evaluation and guardrails.
Selected work
Recent analytics engagements where dashboards and data products replaced spreadsheets and guesswork.
Insights
Web-based tool that simplifies and accelerates airline research and analysis activities. Additionally, its risk tracking capabilities simplify risk management, auditing and collaboration in order to find additional value for the airline.
View Case Study
Centogene
Development of a specialized platform for managing and analyzing mass spectrometry data, facilitating biomarker discovery in rare disease research.
View Case StudyHow we deliver
From audit to a trusted decision surface. Usually in weeks, phased so each phase ships value.
- 01
Audit
Decision and KPI workshop, data inventory, current-state audit. We identify the highest-friction reports and the decisions they should support.
- 02
Model
Semantic layer, KPI definitions, certified datasets. The single source of truth that downstream dashboards, embedded analytics and ad-hoc queries all reference.
- 03
Build
First trusted dashboard or embedded view, fully wired against real data. Stakeholders sign off on metric definitions and visual treatment before broader rollout.
- 04
Govern & scale
Freshness SLAs, anomaly monitoring, access controls, self-service governance. New requests flow through the platform without breaking trust in the numbers.
What changes when analytics actually lands
Schedule an analytics auditDecisions stop waiting on the analytics team
Self-service governed datasets and trusted dashboards mean business users get answers without raising a ticket.
The numbers match across teams
One semantic model, one set of certified KPIs. Finance, product and ops stop arguing about whose number is right.
Insight shows up where the decision happens
Embedded in the product, the CRM, the ops console. Not in a BI tab nobody opens.
You can answer "is the data fresh?" with data
Freshness SLAs, anomaly monitoring, lineage. When a number changes, the system tells you why before anyone asks.
Where analytics lands first
Sectors where data-driven decisions compound, and where the cost of a bad number is measurable.
Financial services
- Risk and regulatory dashboards
- Portfolio and exposure analytics
- Operations and reconciliation views
- Customer analytics and segmentation
Analytics & data visualization, explained
Power BI, Tableau, Looker, Metabase, Superset, Mode, embedded analytics libraries (Highcharts, ECharts, Recharts). We pick what fits your stack, your users and your cost envelope. Never what we happen to have a partnership with.
Both. We design the semantic layer and KPI definitions, build the dashboards and embedded surfaces on top, and shore up the pipelines underneath when they're the bottleneck. Our data engineering practice covers the full stack.
Yes, that's how most engagements run. Senior engineers and analytics specialists alongside your in-house team. We share the production discipline, transfer knowledge as we go and step out cleanly when your team is autonomous.
Certified datasets, governed metric definitions, role-based access and a clear separation between certified and exploratory layers. Business users explore widely; certified KPIs only come from one place.
Lineage, access controls, PII detection and EU-region deployments by default. As an EU-based partner, GDPR-compliance is baked in, not bolted on for a compliance review.
Why Codino
- 10+ years shipping data platforms for regulated industries.
- One team covers the whole stack. Pipelines, semantic models, dashboards and embedded analytics.
- EU-based with EU data residency and GDPR-compliant delivery by default.
- Tool-agnostic. Chosen for fit, not for vendor relationships.
- Decision-led. We start with the decision the data should support, not the dataset.
- We design our exit. Your team owns the platform the day we leave.
Let's Talk About Your Project
Get In Touch
Maciej Roman|CEO & Co-founder