Digital data is growing exponentially and as big data, it poses challenges in terms of volume, velocity, and variety. Traditional solutions are often no longer sufficient, as data can be extremely large, exist in diverse formats, or require real-time processing. Innovative methods allow large datasets to be processed efficiently and novel, heterogeneous data sources to be integrated. From this, knowledge can be extracted, clearly prepared, and made easily accessible – enabling users to act and make informed decisions based on data.
Researchers at the Lucerne School of Computer Science and Information Technology work closely with partners from both industry and academia. They develop and evaluate new methods, models, algorithms, and systems to effectively address data-driven challenges. They build software prototypes – from early demos to MVPs – and test them under real-world conditions in order to assess their impact. In doing so, they support industry partners in developing innovative products and processes. The insights gained contribute to advancing the scientific state of the art.
Our researchers advise and support partners using both established and experimental approaches. They design, test, and implement every step – from raw data to actionable insights and data-informed decisions. To this end, they develop and research practical systems and scientifically sound methods in the following areas:
- Data Management: Strategies for data governance and data value creation
- Business Intelligence: Interactive dashboards and data warehousing with SQL
- Data Science: Modeling with R and Python for data mining and data analytics
- Cloud Databases: Modern data platforms for large-scale data integration
- Data Streams: High-performance parallel and probabilistic algorithms
- Information Extraction: Natural language processing for data lakes
- Graph Databases: Scalable network analysis with Cypher and GQL
- Database Security: System architectures and methods to protect valuable data
Would you like to work with us on data projects that deliver both economic and societal impact? We look forward to hearing from you.