University of Tartu has implemented a data observability platform provided by LiTech to bring clarity and detect inconsistencies in the university’s databases.
LiTech, an Estonian start-up company that raised its first funding last spring, has made a strong contribution to its product development and recently started providing their unique solution to the University of Tartu.
“We are pleased to announce that University of Tartu, one of Europe’s most prestigious universities, has implemented our solution into their processes. Partnering with educational institutions marks a significant step for us, and underscores the fact that data management issues are not exclusive to large corporations or financial institutions. Data-driven decision-making and value creation through data are increasingly becoming standard practices across any organization,” stated Raiko Limmart, Co-founder and CEO of LiTech.
The data observability platform developed by LiTech assists University of Tartu in identifying discrepancies and anomalies in the data, which, if left undetected, can cause issues in downstream processes. LiTech’s solution validates data rules, analyses profiled data to detect deviations, and automatically notifies users of any data issues. The platform also provides a data catalog to get an overview of all data assets available, and a business glossary to define terms and relations to attributes.
“LiTech’s solution allowed us to detect data errors right from the beginning, increasing accuracy and integrity in our databases. Currently, the platform has two user groups: the IT department and the academic department,” explained Sten Aus, Head of the University of Tartu’s Information Systems Department. He added that LiTech’s software is deployed on university servers, and all data processing occurs under the supervision of the University of Tartu.
LiTech is offering their solution to companies in various sectors, including SEB Baltics in banking, Telia Estonia in telecommunication, Rimi Baltics in retail, and more. The application has been in development since 2019, with the goal of providing an effortless solution for detecting and monitoring data errors and anomalies, improving data quality, and enhancing collaboration between business and IT departments.