Hannes Tolvanen
About Hannes Tolvanen
Hannes Tolvanen is a Business Solution Architect specializing in Data and Analytics at Vaisala in Finland, where he has worked since 2023. He has extensive experience in cloud solutions, AI integration, and carbon footprint initiatives, with a background in various roles at Ericsson and other companies.
Work at Vaisala
Hannes Tolvanen currently serves as a Business Solution Architect in Data and Analytics at Vaisala, a position he has held since 2023. His role is based in Vantaa, Uusimaa, Finland, and operates in a hybrid work environment. In this capacity, he is involved in initiatives related to carbon footprint and greenhouse gas accounting and reporting. His focus includes transitioning from on-premise solutions to public cloud solutions, as well as integrating AI layers into business intelligence frameworks.
Previous Experience
Before his current role at Vaisala, Hannes Tolvanen worked in various positions at Ericsson Sweden. He served as a Support Engineer from 2000 to 2008 and later held the role of BI Solution Expert / Information Manager from 2009 to 2011. Additionally, he was a Strategic Delivery Manager at Ericsson for a brief period in 2008-2009. His experience also includes working as an Application Manager for BI and Reporting at SSAB from 2014 to 2020, and as an Internal BI Consultant at Sanoma Media Finland from 2011 to 2014.
Education and Expertise
Hannes Tolvanen earned a Master of Science in Technology with a focus on Computer Science from Teknillinen korkeakoulu-Tekniska högskolan, where he studied from 1999 to 2006. His professional expertise includes implementing greenfield SAP Analytics Cloud and SAP Datasphere projects, as well as engaging in ArchiMate modeling and data security processes. He acts as a liaison between business, IT, and suppliers in global multi-vendor environments.
Focus Areas and Initiatives
In his current role, Hannes Tolvanen emphasizes the importance of carbon footprint and greenhouse gas accounting. He is actively involved in projects that aim to enhance data analytics capabilities through the integration of AI technologies. His work also includes the transition to public cloud solutions, which reflects a broader industry trend towards cloud-based data management and analytics.