Lakehouse and BI on your ERP data

The ERP and supporting systems have the data, but each report runs its own extraction, BI is slow and every department arrives with a different number. We build a lakehouse that organizes everything by subject and delivers one number.

Who it is for

Mid-sized companies with an ERP (SAP, TOTVS Protheus, Senior) and several systems around it. Common signs: "BI is slow", "each department has its own number", "extraction weighs on the ERP".

What we deliver

• Ingestion of the priority sources, with incremental loads and a record of every run.
• Organized layers: raw data, data cleaned by process and business-ready data by subject (sales, production, inventory, quality, finance…).
• Load orchestration, separate development and production environments, and failure alerts.
• BI models and reports reading from the business-ready layer.

How we do it

1. Assessment of the sources and of what BI actually uses.
2. Ingestion of the priority sources.
3. One pilot subject end to end, from raw data to report.
4. The remaining subjects in waves.

How we measure

BI refresh time, number of direct ERP extractions switched off and monthly cost per layer.