Hovi Data Hub

We bring together Finland’s top data experts – creating a collective force for our clients’ success.

Hovi Data Hub is a next-generation matchmaking service that connects data and AI professionals with organizations looking to develop their data leadership.

With AI, the need for traditional coding decreases – but the need to understand and manage data grows. Companies require clear data strategies, strong governance, modern data platforms, and AI agents that automate workflows.

We make the best practices in data and AI accessible to all. Our extensive networks in Finland and abroad ensure we always find the right expert for every need.

Hovi Data Hub – connecting data, people, and AI.

Examples of Hovi Data Hub consultants:

Johannes Hovi

Johannes has extensive experience in SaaS business and the data field – not to mention leveraging AI in recent years. He has delivered solutions in the United States and Australia, helping some of the world’s largest companies develop data-driven solutions. Johannes excels when he can connect the right people and companies – creating something greater than the sum of its parts.

Tero Miikki

Tero is an experienced leader in digitalization and data, with deep expertise in enterprise architecture, cloud services, AI, IoT, and lean development. He has led significant digitalization and data strategy initiatives at UPM, Sanoma, and Microsoft. Tero is known as a strong change leader and an advocate of agile delivery. He builds secure, scalable ecosystems and helps organizations optimize their business processes across various industries.

Ville Niemijärvi

Ville is an experienced data and AI specialist with over 20 years of experience in data platforms, AI, and SaaS development. He has founded five companies and contributed to building some of Finland’s most significant data and data warehouse solutions. Ville is one of Finland’s most experienced trainers and coaches in generative AI. He helps organizations design AI roadmaps and strategies, as well as build practical AI agents.

Mikko Valtonen

Mikko Valtonen, M.Sc. (Tech.), is a high-profile developer, architect, advisor, trainer, coach, and project manager specializing in data warehousing and reporting. He has designed the largest data warehouse in the Nordics and received the SAP Trainer of the Year award.

Säde Haveri

Säde Haveri is an experienced data specialist with over 19 years of expertise in metadata management, data governance strategies, data platforms, and data catalog solutions. She is one of the founders of Helsinki Data Week and an active contributor in data communities, including serving on the board of DAMA Finland. Säde is known for her ability to combine technical expertise, business objectives, and human collaboration into practical, effective solutions.

Jari Ylinen

Jari Ylinen knows how to drive cultural change in knowledge work; he has a deep understanding of both data and business principles and can see how and where data best serves the organization. Jari has been a hands-on leader in some of Finland’s most challenging organizational environments, creating innovative data-driven business operations and the operating models that support them.

Veli-Matti Anttila

Veli-Matti Anttila has 20 years of experience specializing in project management and execution. He applies lessons from industry and entrepreneurship to developing data projects and delivering successful data warehouse and reporting solutions.

Mirjamaria Petäjäniemi

M.Sc. (Econ.) Mirjamaria Petäjäniemi has gained solid experience in data warehousing while developing reporting solutions for large and smaller companies in the marketing, energy, banking, real estate, and logistics sectors.

Mari Kivioja

Mari has strong experience in business development and supporting decision-making through data. In her work, she aims to promote collaboration between business and IT to leverage data as effectively as possible while meeting business needs. As a consultant at Ari Hovi, Mari’s areas of expertise include the development of reporting solutions and data modeling.