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!
QuickSteps with arcplan 8.5
In this blog entry Stefan Kersten explains how to create IBCS compliant graphics and how to reuse them as "QuickSteps".
Mobile Customer Engagement - Part 2
The second part of b.telligent's blog series - find out how to best proceed when implementing an MCE solution!
A closer Look at Uplift Modelling
Learn how Uplift Modeling can support you to manage your campaigns more effectively!
Instruction: Hichert (IBCS) out of the Box
b.telligent expert Stefan Kersten explains how to use arcplan quicksteps for an easy creation of IBCS-compliant graphics...
Mobile Customer Engagement - Part 1
In 3 exciting blog posts our expert explains, how mobile customer engagement solutions can be integrated into existing or new multi-channel environments.
HOWTO: Easy Web Scraping with Python
Find out how easy it is to readout automated content from the World Wide Web.
Howto: Transaction-secured Inputs
In this blog entry Arno Velden will demonstrate how you can design an input mask by using the arcplan transaction-securely.
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.
Campaign Management in the Mobile Engagement Environment
Find out in our blog post how b.telligent proceeded in integtrating the `Mobile App´ channel into the customers existing CRM.
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.
arcplan and its new Function "Assign"
Linking and displaying data is a common application in reporting. The arcplan function "Assign" offers a solution to combine data from different sources.
Calculating Wall Surface Areas in R
Practical calculation example in R to demonstrate the use of vectors.
Standardization of a Success Control Process
In our blog post we will tell you why well-conducted success measurements are the basis for the optimization and design of campaigns.
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.
Roll-Out-Strategies
Regarding to campaign management a locally adapted roll-out strategy is very important for a company. Find out more in our blog post!
