Data & Analytics Solutions
One reliable source of truth for decisions, not five conflicting spreadsheets
Most companies already have the data they need. It is just spread across an ERP, a webshop, ad platforms, logistics partners and a dozen spreadsheets, so every report takes days of manual extraction and nobody fully trusts the numbers.
We build the data foundation that fixes this: automated pipelines that pull from every source, a clean and documented data model, and dashboards your leadership team can rely on. Where it helps, we add alerting so the data tells you when something needs attention.
What we deliver
Data pipelines (ETL/ELT)
Scheduled, monitored pipelines that extract, clean and load data from every source system.
Data warehouse & modeling
A documented, query-friendly model (e.g. star schema) in PostgreSQL, Redshift, BigQuery or Snowflake.
BI dashboards
Power BI, Metabase or custom dashboards designed around the decisions each team makes.
KPI monitoring & alerts
Anomaly detection that notifies the right people in Slack or email when a metric moves.
Data quality & governance
Validation checks, lineage and access rules so numbers stay trustworthy as you grow.
Reporting automation
Recurring management and client reports generated automatically, on schedule.
How we approach it
- 01
Data audit
We inventory sources, owners, formats and the questions the business needs answered.
- 02
Model & pipeline design
We design the target data model and the pipelines that feed it, with refresh frequencies agreed per source.
- 03
Build & validate
Pipelines and dashboards are built incrementally and reconciled against your current numbers.
- 04
Adopt & extend
Training for your team, documentation, and monitoring so the platform keeps running unattended.
Case study
Unifying 6 Data Sources into a Single Business Intelligence Layer
A multi-channel retail group · Retail & E-Commerce · 10 weeks
The retailer was flying blind — sales, inventory, logistics, and marketing data lived in six different systems with no shared reporting layer.
Read the full case study- Reporting turnaround dropped from 5 days to same-day
- Overstock incidents reduced by 34% in the first quarter post-launch
- CEO dashboard refresh reduced from weekly manual effort to a 30-second automated run
- Anomaly alerts caught a logistics pricing error worth €28K within the first month
Technology we use for data & analytics
- Python
- Apache Airflow
- dbt
- PostgreSQL
- AWS Redshift
- BigQuery
- Power BI
- Metabase
Insights on data & analytics
Data & Analytics: frequently asked questions
Do we need a data warehouse for business intelligence?
Not always. With one or two sources, a well-designed reporting database is often enough. Once you combine several systems, or need history and consistent definitions, a warehouse pays for itself quickly.
Which BI tool should we use?
We are tool-agnostic. Power BI suits Microsoft-centric companies, Metabase is a cost-effective open-source option, and custom dashboards make sense when reports are part of your product. We recommend based on your users and budget.
How often can the data refresh?
Anything from daily batches to near-real-time, depending on the source systems and what the decision actually requires.
Can you work with our existing data team?
Yes. We can build the platform and hand it over, or work alongside your analysts and engineers and leave them with documentation and training.
Related services
- Custom Application DevelopmentWeb applications, SaaS platforms and internal tools that replace spreadsheets, email chains and off-the-shelf software that never quite fits.
- Document & Content AutomationAutomated generation of contracts, proposals, reports and other documents from structured data and approved templates, with PDF and Word output.
- Business Process AutomationWorkflow automation and system integrations that remove manual data entry, reconciliation and chasing, so your team works on exceptions only.
- Technical Consulting & DevelopmentArchitecture reviews, technical strategy, due diligence and hands-on engineering leadership for founders and growing product teams.
Let's talk about your data & analytics project
A 30-minute call is enough to understand your goals and tell you honestly how we would approach it, and whether we are the right fit.