
DSharp Studio Release: Extended Data Catalog and New Find Command
Our latest release of DSharp Studio brings a major update to the Data Catalog, a new Find -command to help you move quickly inside the software and a series of practical improvements across modeling, analysis, and deployment. We also included some bug fixes.

Pirte’s Data Platform Modernization Boosts Data-Driven Healthcare
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 Outdated technologies are being replaced to enable more versatile and impactful use of data across the organization.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.

The City of Turku Expanded Its Data Warehouse with Library Data
“We wanted to take control of our data so that we can modify it ourselves and decide what information we want to use and combine in reporting. In the future, the data stored in our own data warehouses can be integrated with other city datasets, such as financial data. This allows us to compile valuable insights to support decision-makers.”

Making Data Management Easier with Automation
Comprehensive reporting solutions are always technically complex. Among various construction methods, Data Vault, realistically involving thousands of tables, is often perceived as laborious and expensive, simply because traditionally implemented, it is. However, the requirement specifications for reporting solutions often list as mandatory exactly those aspects that Data Vault addresses. This makes Data Vault a reasonable and functional solution model instead of inventing a completely new implementation approach.

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

Data Warehouse concepts and data models
Each of us needs information in our work. Information is acquired,…
