Dátová integrácia a reporting
Bring data from ERP, CRM, e-commerce and operational systems into a single warehouse — for clean dashboards, analytics and the data foundation AI needs.
Kde firmy typicky narážajú na limity
Numbers disagree between systems
Sales, finance and operations report different totals for the same period.
Analytics rely on exports
Reports are built from manual CSV exports refreshed by hand.
There is no shared data model
Each tool defines 'customer' and 'order' slightly differently.
AI projects need data the company can't provide
Promising AI use cases stall on data access and quality.
Čo staviame
Data warehouse
A clean, documented warehouse on BigQuery, Snowflake, Postgres or similar.
Ingestion pipelines
Connectors and pipelines that pull data from your systems reliably.
Modelling and metrics
Defined, shared metrics so the whole company means the same thing by them.
Dashboards and reports
Self-service dashboards on top of the warehouse for ops and management.
Data quality monitoring
Tests and alerts when data goes missing or drifts.
AI-ready datasets
Curated datasets for AI features and predictive use cases.
Ako postupujeme
Discovery
We map your current process, users, data and integration points.
Solution design
We define scope, architecture, UX direction and a realistic budget.
Iterative build
We deliver in stages with regular demos so you can shape the outcome.
Go-live
Acceptance testing, training, cutover plan and production launch.
Continuous improvement
Monitoring, support and next-phase development after go-live.
Systémy, ktoré typicky integrujeme
Riešenie prepojíme so systémami, ktoré už používate.
Aký prínos môžete očakávať
Časté otázky
Which warehouse technology do you use?+
BigQuery, Snowflake, Redshift or Postgres — chosen per data volume, budget and existing stack.
How fresh is the data?+
From near real-time to nightly batches, depending on the source and the question.
Can it support self-service for non-technical users?+
Yes — we curate dashboards and metrics so non-technical users get reliable answers without writing SQL.
Is this also the foundation for AI?+
Yes — many practical AI use cases need a clean data layer. The warehouse is that layer.
Súvisiace služby
Pozrite si ďalšie možnosti v tejto oblasti.
Pozrime sa na to, čo brzdí vašu firmu
Krátky úvodný rozhovor o vašich procesoch, hlavných výzvach a možných riešeniach. Bez technického predajného monológu a bez záväzkov.
Povedzte nám o svojom projekte
Vyplnenie trvá približne dve minúty. Odpovedáme do jedného pracovného dňa.
