The Center for Data Analytics (CDA) conducts applied, theoretical, and simulation-based research in statistics, econometrics, and data science, with a focus on business administration, economics, and finance. The center works with both academic institutions and Swedish industry, combining methodological rigor with practical relevance.
Center for Data Analytics
About the center
Research focus
CDA's research addresses how large and complex datasets can be analyzed to produce reliable, actionable insights.
Core areas of work include:
- Big data analysis
- Prediction and forecasting
- Causality
- Data quality
- Consumer behavior in news media
- Text and number analysis
- Customer satisfaction and loyalty measurement
The center applies methods including machine learning, neural networks, decision trees, Bayesian classifiers, and discrete event stochastic simulation, using tools such as R and Python.
CDA publishes in leading academic journals, including Econometrica, Journal of Econometrics, Journal of Time Series Analysis, International Journal of Forecasting, and Harvard Business Review.
Teaching
Teaching is central to CDA's work. The center offers courses in statistics, econometrics, and data science that integrate active research and use real-world examples to demonstrate practical application.
Work with us
CDA is regularly consulted by public and private organizations seeking statistical and data science expertise. If your organization is interested in collaboration or commissioned work, contact Director Rickard Sandberg to be connected with the most suitable researcher.
Contact
Associate Professor Rickard Sandberg
Director of the Center for Data Analytics
Contact: Rickard.Sandberg@hhs.se
Visiting address
House of Innovation, Norrtullsgatan 2, 113 29 Stockholm
