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IJONIS
Data & InfrastructureDWH

Data Warehouse

DWH

A data warehouse (DWH) is a central, schema-based storage system for processed and structured business data. It consolidates data from ERP, CRM, and other systems into a unified model optimized for fast queries, reporting, and analytical evaluations — the single source of truth for data-driven decisions.

Why does this matter?

A data warehouse provides the reliable data foundation that management and controlling depend on: revenue analyses, contribution margin calculations, sales pipeline reports. For AI projects, it serves as the structured foundation supplying ML models with consistent, historical business data.

How IJONIS uses this

We build data warehouses with BigQuery, Snowflake, or PostgreSQL — depending on budget and cloud strategy. Modeling follows the dimensional modeling approach with dbt as the transformation layer. For mid-sized businesses, we focus especially on low operating costs and scalability without vendor lock-in.

Frequently Asked Questions

Is a data warehouse worth it for smaller companies too?
Yes, especially with cloud solutions like BigQuery that charge based on usage. Starting with three to four data sources and the need for consolidated reports, a DWH is worthwhile. The investment pays off through better decision-making foundations and less manual data consolidation.
Can I also use my data warehouse for AI?
Absolutely. Structured DWH data is excellent for ML models — forecasting, classification, and anomaly detection. For generative AI (RAG), we combine the DWH with a vector database so both structured and semantic queries are possible.
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