Understanding data science
Blog posts, case studies and whitepapers: Learn more about data science with our expert information. How do I implement data science projects, what does the right IT infrastructure look like and how can I better understand consumer behavior? Find exactly the content you’re looking for and gain insight into best practices in data science across the enterprise.
Predictive Maintenance at TRUMPF Lasertechnik
eoda has helped TRUMPF Laser Technology to increase its "Industry 4.0 Maturity Level" based on data and algorithms.
Predictive maintenance with deep learning
We have developed a deep learning model for a machine builder to reliably predict machine failures.
Precise forecasting of grid losses
eoda uses data mining to create reliable forecasting models to compensate for network losses.
Development of a scoring algorithm for databyte®
eoda supports databyte® in identifying new customer potential.
Knowledge transfer workshop: R Shiny apps – Deutsche Bahn Analytics
In a workshop, eoda enabled the DB Analytics team to make analysis results available quickly and attractively with R Shiny.
Infrastructure consulting, implementation and support for fashion companies
eoda has implemented a high-performance and reliable IT infrastructure for the productive operation of R-analyses for a fashion company.
Set-up of a analysis environment for REWE International AG
Implementation of a powerful IT infrastructure based on R.
With predictive maintenance to new customer services
Development of a "health indicator" for Schenck Process Europe GmbH
Cloud infrastructure with Terraform & RStudio Server for the University of Amsterdam (UvA)
UvA students gain access to an RStudio server during exam situations using a cloud infrastructure.