Core service · Data implementation

Data implementation — from plan to production.

Strategy decks don't answer business questions — working systems do. We are a hands-on data implementation partner: we set up your data platform, build the warehouse and pipelines, deliver the reports and hand it all over, on a fixed scope and timeline.

Plan your data implementation See the phases

What we implement

Every layer of the data stack, implemented and tested.

Whether you are starting from spreadsheets, replacing a legacy warehouse or rescuing a project that stalled, we implement the pieces you need — and make sure they work together.

Platform

Data platform implementation

Azure, Microsoft Fabric, Databricks, Snowflake — or client-owned SQL Server and PostgreSQL. Environments, security and cost controls set up properly from day one.

Storage

Data warehouse implementation

Star-schema warehouses and lakehouses with staging, history and data marts — designed for reporting, analytics and AI.

Pipelines

ETL & data integration

Automated, monitored pipelines from ERP, CRM, finance, files and APIs. See data integration.

Reporting

Power BI implementation

Semantic models, dashboards, row-level security, workspaces and deployment pipelines — rolled out to the business, not just built.

Migration

Migrations & modernisation

Legacy warehouse to cloud, Qlik or Tableau to Power BI, on-prem consolidation — with old and new run side by side until the numbers agree.

Governance

Data quality & governance

Validation rules, ownership, access control and documentation — GDPR-ready by design.

How a data implementation runs

Four phases — working results in each.

Assess

Current systems, data, reports and skills. We agree the business questions the platform must answer and the success criteria.

Design

Target architecture, cloud or on-prem choice, data model and a fixed-price plan with milestones you can hold us to.

Implement

Short sprints, source by source and report by report. Each sprint is tested against your own figures.

Hand over

Go-live, documentation and training for your team — or ongoing managed support if you prefer.

Why us

An implementation partner, not a slide factory.

1
Senior hands on the keyboardThe people who design your platform are the people who build it.
2
Fixed scope, transparent priceClear milestones and a quote you can budget for — no open-ended time-and-materials surprises.
3
Cloud or on-prem, no biasWe recommend what fits your cost model and compliance needs, not what earns a licence commission.
4
EU-based, English-speakingA Bucharest team working across Europe and the US, with time-zone overlap and EU data-protection standards.
5
Clean handoverDocumented, trained, and yours. We step back — or stay on for support if you want us to.

Platforms we implement on

SQL ServerPostgreSQL Microsoft FabricAzure Data Factory DatabricksSnowflake AWSGoogle Cloud dbtAirflow SSISPower BI

Questions

Data implementation — frequently asked.

What does a data implementation partner do?

A data implementation partner turns a data strategy or architecture into a working system: it sets up the platform, builds the pipelines and the data warehouse, delivers the reports, tests everything against the business's own numbers and hands the result over to the internal team.

How long does a data platform implementation take?

A first production release — a few core sources, a warehouse and the main management reports — typically takes 8 to 16 weeks. We deliver in phases so the business sees working results early.

Cloud or on-prem — which do you implement?

Both. We implement on Azure, Microsoft Fabric, Databricks, Snowflake, AWS and Google Cloud, and on client-owned SQL Server or PostgreSQL. For many mid-size companies a well-built on-prem SQL Server stack is the most cost-effective option.

Can you take over an implementation that stalled?

Yes. We start with a short technical review of what exists, keep what works, fix what doesn't and agree a realistic plan to get the project into production.

What happens after go-live?

Your team receives documentation and training and can run the platform themselves. If you prefer, we provide ongoing managed support, enhancements and specialists on a monthly basis.