Case Study: Fingrid boosts grid reliability and speeds fault analysis with IBM Maximo

Big data analytics of geospatial asset information supports smarter grid management

Fingrid, Finland's high-voltage transmission grid operator, sought to improve the reliability and cost-effectiveness of its extensive 14,000 km network. To achieve this, the company needed a smarter way to manage its assets and analyze the vast amounts of data from its systems to enable predictive maintenance and faster responses to faults.

IBM implemented a centralized asset management and big data analytics platform using IBM Maximo Asset Management, IBM Maximo Spatial Asset Management, and IBM WebSphere Enterprise Service Bus. This integrated solution provided Fingrid with comprehensive geospatial insights, allowing the company to locate and analyze network faults up to 99% faster and make smarter, data-driven investment decisions for its infrastructure.

Fingrid

Marcus Stenstrand

Grid Manager