From SAS to R and back
Check out the possibilities of the data exchange between SAS and R. Follow our new mini-series for new insights on SAS and R...
Boosting for the Naive Bayes Classifier
How you can program the AdaBoost.M1 algorithm with the naive Bayes classifier in R? Our colleague shows how it works!
Deep Learning in the Spotlight
Deep Learning - Read our blog to find out more about Deep Artificial Neural Networks on Very Large Data Sets for the Evaluation of New Data...
Python modules for Data Science
You want to get an overview of Python-based alternatives? Then you are exactly right in this blog post!
Predictive Analytics and the Presidential Election
Dr. Michael Allgöwer explains why Donald Trump hardly is the next American president and why it has surprisingly little to do with predictive analytics.
Predictive Analytics World Day 2
The second day of Predictive Analytics World: burglars, sensitive data and what you can learn from them about Data Science storytelling.
Predictive Analytics World Day 1
Our colleague Dr. Michael Allgoewer has visited the the Predictive Analytics World in Berlin. Get information about the highlights of the first day here.
Predictive Analytics World Kick-Off
Our colleague Dr. Michael Allgöwer visits the Predictive Analytics World in Berlin this year. Here you can find out about his impressions and experiences!
High Performance Mental Exercise with R
Our colleague Orlando has analysed how you can decipher the world records of high jump with R. How this works? Find it out in our Blog...
Customer Journey Analytics and Markov Chains
Markov Chain Modelling - Master Thesis honored by the German Market Research Industry Association.
Splitting files with Python scripts
Find out how you can simply split gigantic data sets with Python scripts!
A closer Look at Uplift Modelling
Learn how Uplift Modeling can support you to manage your campaigns more effectively!
HOWTO: Easy Web Scraping with Python
Find out how easy it is to readout automated content from the World Wide Web.
R Tips and Tricks - Part 1
How can you get started with R in regard to Advanced Analytics? Stefan Seltmann offers hints and tricks for an easy introduction into working with R.
IMHO, Forget the Activity Relevance Matrices
In customer satisfaction surveys the popular action relevance matrix provides information that is only apparently useful. Read our blog to find out why...
Customer Lifetime Calue - Errors and Truths
The distribution of the customer lifetime value shows that some misunderstandings and errors are widespread. The b.telligent experts inform you here...
Missing Values in Logistic Regression
Find out how to perform an analysis successfully despite missing values in the logistic regression.
Calculating Wall Surface Areas in R
Practical calculation example in R to demonstrate the use of vectors.
Reformatting SPSS
Stefan Seltmann explains how short instructions in the syntax enable you to to adapt the use of labels.
IMHO learn Python
As a Data Scientist it is important to master programming. Read our blog to find out why " Python " is particularly well suited for this.
Callback Service