Data Integration & 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.
Where companies typically struggle
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.
What we build
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.
How we deliver
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.
Systems we typically integrate
We connect this solution with the systems you already run.
Business value you can expect
Frequently asked questions
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.
Related services
Explore other capabilities in this area.
Let's look at what is slowing your business down
A short introductory call to review your current process, the main challenges and possible directions. No technical sales pitch, no commitment.
Tell us about your project
About two minutes to complete. We respond within one business day.
