By integrating DSharp Studio, an innovative no-code platform, into its service offerings, Scalefree can streamline the data modeling process, enabling faster development of robust and scalable data warehouse systems. This strategic move allows Scalefree's consultants to focus on delivering higher-value services, such as strategic data management, advanced Data Vault modeling, and ensuring overall project success.
"At Scalefree, we're excited to announce our new partnership with DSharp from Finland," says Christof Wenzeritt, CEO of Scalefree. "Their automation tool for data warehousing is a great addition to our specialized Data Vault consulting services. This collaboration brings together DSharp's cutting-edge technology and Scalefree's expertise to offer excellent value for our clients."
The collaboration brings together the strengths of both organizations: Scalefree's deep Data Vault knowledge and proven implementation methodology combined with DSharp's innovative technology. This synergy will provide clients with a comprehensive approach to data management, from initial modeling to ongoing maintenance and evolution.
"We are thrilled to partner with Scalefree to bring our innovative data modeling solution to the European market," says Konsta Weber, Head of Business Development and Partnerships at DSharp. "Scalefree’s strong presence in the German-speaking and Benelux regions will be invaluable as we work together to streamline data operations and empower businesses to use data more effectively."
Both companies are actively planning joint activities to engage the data community and showcase the power of the combined offering. The first live event for data professionals is scheduled to take place in Helsinki in Spring 2025.
About DSharp
DSharp is a Finnish software company that aims to simplify data modeling with its DSharp Studio platform. The company's focus is on providing a user-friendly approach to data modeling, enabling users to visually design and manage data structures. DSharp Studio offers tools to streamline the process of creating and deploying data models, potentially saving time and reducing complexity for businesses looking to manage their data effectively.