At Health.tech Basel?

Join us at the Health.tech global summit in Basel on Mon & Tue 3–4 March 2026 at Messe Basel.

We’ll be there to talk about how teams can move faster in healthcare analytics without losing control—especially when AI enters the picture.

Come visit us at the Startup area or book a 15-minute coffee: ville-matti.koskinen@dsharp.fi

Webinar (Wed 25.2.2026): “Trusted AI in Healthcare Analytics”

Want the deep dive before Basel? Join our webinar on Wed 25 Feb, 2026, at 15:00 CET to explore practical ways to bring Trusted AI into analytics with governance, traceability, and trust built in.

Sign up here!

Read more about our Trusted AI for analytics-solution.

HEALTH CARE ANALYTICS AND DATA WAREHOUSE CUSTOMER CASES

Quarterly Execution Brought Agility to Varha’s Project Management

18.8.2025

Varha, the wellbeing services county of Southwest Finland, set out to build a unified data foundation and develop its data leadership capabilities. Agile collaboration was essential in the project. Planning and executing the work in quarterly cycles proved effective for advancing this large-scale initiative. DSharp's DSharp Studio was the chosen software for the automation of the data warehouse.

Pirte’s Data Platform Modernization Boosts Data-Driven Healthcare

23.6.2025

Pirte, a healthcare and occupational health service provider based in the Pirkanmaa region, is transitioning to a modern reporting platform with support from DSharp. Outdated technologies are being replaced to enable more versatile and impactful use of data across the organization. For customers, this change happens quietly in the background. High-quality reporting continues as before, and improvements will be introduced step by step.

Varha built a data-driven management system – How DSharp’s automation adapted to the needs of a wellbeing services county

14.4.2025

Varha, the Wellbeing Services County of Southwest Finland, is implementing a large-scale system unification, bringing data from dozens of background systems across 27 municipalities into a shared data platform. The goal is to efficiently produce data for operational units, research, administration, stakeholders, and national data collections. DSharp’s automation brought the desired fluidity to managing the county’s data landscape.