Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups
Advanced scientific tools for solutions in the financial industry
Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques
Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems
Generating insights, creating value and fostering innovation in business processes and services
Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
News
Team IDP
Publikationen
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Carabias-Hütter, Vicente; Eschenauer, Ursula; Kuehn, Tobias; Lobsiger-Kägi, Evelyn; Mildenberger, Thoralf,
2016.
Die Energienachfrage steuern : Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten.
Gaia.
25(3), pp. 217-219.
Available from: https://doi.org/10.14512/gaia.25.3.20
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Friedl, Herwig; Templ, Matthias,
2016.
Die Theorie lebt in der Praxis : ein Interview mit Ernst Stadlober.
Austrian Journal of Statistics.
45(2), pp. 69-80.
Available from: https://doi.org/10.17713/ajs.v45i2.303
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Kavassalis, Petros; Stieber, Harald; Breymann, Wolfgang; Saxton, Keith; Gross, Francis; Brammertz, Willi; Bertolo, Stefano; Dragiotis, Antonis,
2016.
DTD powered by ACTUS : an innovative RegTech approach to financial risk reporting.
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Templ, Matthias; Hron, K.; Filzmoser, P.,
2016.
Exploratory tools for outlier detection in compositional data with structural zeros.
Journal of Applied Statistics.
44(4), pp. 734-752.
Available from: https://doi.org/10.1080/02664763.2016.1182135
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Hron, Karel; Templ, Matthias; Filzmoser, Peter,
2016.
Exploring outliers in compositional data with structural zeros.
In:
9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Seville, Spain, 9-11 December 2016.