Evaluation of the Election Forecast 2025
Business Case: Bayesian forecast model for the German federal elections
Measure, compare, optimize: data-driven decisions with A/B testing
Who’s best in class? Comparing forecasting models with a Predictive Analytics Cube (PAC)
White Paper: Customer Segmentation
White Paper: Customer Lifetime Value
Understand Customer Decision Making: Discrete Choice Models with RStan
Understand customer decision making: Discrete choice models in marketing
The Representation of Corona Incidence Figures in Space and Time
COVID-19: Heat Map of Local 7-day Incidences over Time
White Paper: Attribution 2.0
Reflecting on 2020 US Election Forecasts: 10 Takeaways for Data Scientists
Churn Analysis for Attracting and Retaining High-Value Customers
Understanding and Handling Missing Data
Marketing Mix Modeling - How Does Advertising Really Work?
Multi-Armed Bandits as an A/B Testing Solution
Best Practice in TV Tracking: Why a Simple Baseline Correction Falls Short!
Cluster Analysis - Part 2: Hands On
Cluster Analysis - Part 1: Introduction
Introducing the Kernel Heaping Package III
Do GPU-based Basic Linear Algebra Subprograms (BLAS) improve the performance of standard modeling techniques in R?
Introducing the Kernelheaping Package II
Prediction: Who will win the 2018 World Cup?
Introducing the Kernelheaping Package
Business Case: Customer Segmentation
Who will win the 2017 Bundestag election?
100 grams of Lego, please.
Business case: Staff Planning
Business Case: Customer Lifetime Value (CLV)
