Your ERP says one number, your CRM another, and finance keeps a third in Excel. Our data integration consultants connect those systems into a single, automated and reconciled data platform — so every report tells the same story.
Data integration is the work of bringing data from separate systems into one consistent place — cleaned, matched and kept up to date automatically. Done well, it ends the monthly spreadsheet marathon and gives management figures they can trust without asking “which version is this?”.
We build data integration pipelines that pull from every source you run, check the data on the way in, load it into a data warehouse or lakehouse, and feed Power BI, Excel and other systems from there. You get alerts when something breaks, and documentation your own team can follow.
We map every system, owner, refresh rhythm and data quality issue before writing a line of code — so there are no surprises later.
Automated pipelines in Azure Data Factory, Fabric, SSIS, Databricks or Python — scheduled, logged and restartable.
Customer, product and location keys matched across systems, with reconciliation checks that flag when totals don't agree.
Exports, file drops, database replicas, emailed reports — we integrate what you actually have, not what a brochure assumes.
Failed loads, late files and suspicious numbers raise an alert before anyone opens a wrong report.
Data lineage, run books and training, so your own team can operate and extend the integration.
Data integration is the work of bringing data from separate systems — ERP, CRM, finance, files, APIs — into one consistent place, cleaned and matched, so that reports and decisions are based on a single version of the truth.
A focused project connecting two to four sources into a warehouse with first reports usually takes 6 to 12 weeks. Larger multi-source programmes are split into phases, each delivering working results.
Yes. Many systems only offer exports, database access or scheduled files. We build reliable pipelines around what is available — file drops, database replicas, SFTP, email reports — and monitor them so nothing is missed.
Azure Data Factory, Microsoft Fabric, SSIS, Databricks, Snowflake, dbt, Airflow and Python — chosen to fit your existing platform, budget and team skills rather than the other way round.
Yes. We are based in Bucharest and work remotely with clients across the EU, the UK and the US, in English, within European business hours with overlap for US time zones.
Related: Data implementation · Data infrastructure & delivery · Data warehousing