
Automotive & Industrial
One source of truth for sales data
Logio proposed an optimal data management approach and integrated Power BI into SKF’s IT landscape.

Outcome
Unified reporting with standard templates, clear ownership, and higher data quality delivered a smooth implementation.
More than
0 million records managed
About SKF
SKF is a global Swedish manufacturer of bearings, seals, lubrication systems, condition monitoring and related services, founded in 1907 and headquartered in Gothenburg. It serves industrial and automotive customers worldwide.
Net sales: SEK 98.7 billion
Employees: 38,743 (2024 headcount)
Headquarters: Gothenburg, Sweden
Initial challenge
Sales data in the data warehouse reached gigabytes in size and required more efficient use and governance.

Project goal
Establish one source of truth with standardized reporting in Power BI, integrated into SKF’s IT structure.

Solution
From data warehouse to governed BI
Logio shared BI best practices and designed a governed reporting layer in Power BI, then integrated it with SKF’s existing IT environment.

Solutions implemented
Replenishment & Allocation Management

Impact
Reliable reporting on a governed, scalable BI platform
One source of truth established
A single governed data model for sales.
Standardized reporting
Reusable templates aligned how teams consume insights.
Better data quality and ownership
Roles and responsibilities clarified.
Seamless integration
Power BI connected to the existing data warehouse and IT stack
Scalability proven
Solution handles 100 million records in production.
Turn your data into reliable decisions
If your reporting is fragmented, we can help you create one source of truth and integrate Power BI with your data warehouse. Let’s discuss what a governed BI setup could deliver for you.
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Logio secured the on‑time start of Radegast’s automated warehouse in Nošovice by coordinating on‑site ramp‑up, testing, and training when the supplier could not travel, enabling automated pallet handling between bottling and dispatch.
Availability improved from 96 % to 98 %
Inventory turnover time reduced by 8 %
Time to create orders reduced by 90 %
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