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Case: Charging Network Architecture (Volvo Energy)
Challenge
- Demand for efficient, secure truck and machinery charging solutions.
- Fragmented infrastructure with diverse protocols and standards.
- Need for integration in existing business frameworks.
- Security risks in charging network systems.
Solution
- Scalable global architecture for varied charge point operators.
- Unified system covering in-vehicle UI, apps, CPO networks, and CPMS.
- Robust end-to-end cybersecurity implementation.
- Compliance with multiple charging protocols like OCPI, OICP, and OCPP.
- Seamlessly integrated into business operations.
Result
- Cohesive, scalable charging network for public and depot use.
- Enhanced security and reliability.
- Standardization and interoperability in charging systems.
- Improved efficiency and user experience.
- Supported eco-friendly charging, aiding sustainability goals.
Case: RPA Enterprise Services (SKF)
Challenge
- A considerable workload that could be automated
- Small, uncoordinated RPA projects are starting up globally
- No central service offered
Solution
- ROI tool
- Highly scalable robot farm
- Multiple developer partners
- Price list for implementation
- Pay for hourly usage
- 24/7 operation and support
Result
- Only suitable processes are automated
- High implementation speed
- Low cost due to shared solution
- Free up time for more strategic work
The RPA Services Process
Case: Enterprise Architecture Tool (Polestar)
Challenge
- No holistic view of applications, integrations, and data objects
- Multiple applications performing similar tasks
- Low agility in making strategic decisions.
Solution
- Enterprise Architecture Tool Selection
- Migrate crucial information
- Organization awareness
- Integrated into governance processes
Result
- An excellent source for making strategic decisions
- Lowered cost due to application consolidation
- High issue resolution speed due to good end-to-end views
A LeanIx dashboard – the tool selected
Case: Master Data Platform (Polestar)
Challenge
- Microservices + Legacy + Cloud + ERP landscape
- Scattered Master Data
- Low reusability potential
- Low data quality due to the silo approach
Solution
- RFP process for selecting an MDM platform
- Careful selection of Master and Reference data
- A dynamic technical solution for a complex manufacturing landscape
Result
- Increased data quality
- Increased agility through reusability
- The information landscape does not depend on business platform data models, and there is no lock-in effect.
