A central data warehouse
We brought together Logistics, Odoo and Excel files, alongside an API connection with Emasphere and exchange-rate data from the European Central Bank.
Case study · Baobab Collection
DataTalks built a data warehouse, Power BI reporting and automations covering sales, finance, inventory, purchasing and logistics.

The challenge
The project brought together two ERP systems and additional data sources. But connecting them was only one part of the work.
Baobab also needed shared definitions for its product, distribution, industry and agent dimensions. Substantial coordination with the business teams was needed to agree how the data should be named, structured and used, and to address data-quality issues.
What we built
We brought together Logistics, Odoo and Excel files, alongside an API connection with Emasphere and exchange-rate data from the European Central Bank.
We worked with Baobab’s teams to define and structure the product, distribution, industry and agent dimensions. Project management and data-quality work were central to the delivery.
Reports covering sales, finance, inventory, purchasing and logistics, built on the shared data foundation.
Reports are sent automatically, while data-quality alerts flag issues for attention. Teams can follow their activity and identify problems in the data behind it.
The result
Today, 100 users access the data and consult the reports every day. Automated report delivery complements that daily use, and data-quality alerts help teams identify issues that need to be addressed.
DataTalks integrated data from various sources, including Odoo and logistics, using custom connectors. The implementation was completed quickly and resulted in robust operational reporting that is critical to our business.
Working with multiple ERPs, spreadsheets or manual reporting tasks? Let’s talk about what your teams need.
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