Aarbakke supercharges its Smart Factory initiative using Cognite Data Fusion®
Aarbakke, one of the world's leading machining companies, leverages Cognite Data Fusion® to break down the silos between its OT and IT systems, combining data from its computer numerical control (CNC) machines, welding robots, ERP, and tool management system to optimize its operations and maintenance routines and cut costs.
$6m value from digital programme per year
60% reduction in tool assemblies
20-30% reduced service costs
Improved efficiency, faster delivery time, increased value
Aarbakke used Cognite Data Fusion® to create a rich data foundation with a reusable data model to build solutions across asset management, quality, sustainability, and robotics
- 6% of annual revenue in recognized value delivered after 11 months
- Use case rollout time reduced from 6 months to 1 month
- More than 15 use cases scaled across operations
At the forefront of digital transformation
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In their own words
Aarbakke has grown with a strong network of suppliers, and Cognite fits perfectly as a partner that will help break new barriers.
Inge Brigt Aarbakke
Founder & CEO, Aarbakke
Data in context enables us to see our pain points. It tells us where we have the potential to improve how we use our machines, how efficiently we can operate them, and the flow of the products.
Rolf Thu
Head of IT and Smart Factory manager, Aarbakke
We have been searching for a digitalization partner that shares our vision and ambitions and is able to go that extra mile. The Cognite team is a perfect match for Aarbakke. They have the deepest knowledge and are using their technology to help Aarbakke’s Smart Factory lead the industry in generating value from digitalization
Inge Brigt Aarbakke
Founder & CEO, Aarbakke
The Total Economic Impact of Cognite Data Fusion®
Customer interviews and financial analysis reveal an ROI of 400% and total benefits of $21.56M over three years for the Cognite Data Fusion® platform.
Summary of benefits
(three-year risk-adjusted)
Improved SME efficiency
$1.5M
Revenue gains arising from shorter shutdown period
$4.8M
Real-time data efficiencies
$2.3M
Optimized planned maintenance programme
$4.3M
Energy efficiency savings
$5.1M
Optimization of heavy machinery and industrial work-flow
$9M