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b.telligent Blog: Data Science

Splitting files with Python scripts

Find out how you can simply split gigantic data sets with Python scripts!

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b.telligent Blog: Reporting

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".

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b.telligent Blog: Customer Intelligence Insights

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!

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b.telligent Blog: Data Science

A closer Look at Uplift Modelling

Learn how Uplift Modeling can support you to manage your campaigns more effectively!

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b.telligent Blog: Reporting

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...

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b.telligent Blog: Customer Intelligence Insights

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.

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b.telligent Blog: Data Science

HOWTO: Easy Web Scraping with Python

Find out how easy it is to readout automated content from the World Wide Web.

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b.telligent Blog: Reporting

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.

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b.telligent Blog: Data Science

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.

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b.telligent Blog: Customer Intelligence Insights

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.

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b.telligent Blog: Data Science

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...

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b.telligent Blog: Data Science

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...

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b.telligent Blog: Data Science

Missing Values in Logistic Regression

Find out how to perform an analysis successfully despite missing values in the logistic regression.

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b.telligent Blog: Reporting

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.

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b.telligent Blog: Data Science

Calculating Wall Surface Areas in R

Practical calculation example in R to demonstrate the use of vectors.

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b.telligent Blog: Customer Intelligence Insights

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.

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b.telligent Blog: Data Science

Reformatting SPSS

Stefan Seltmann explains how short instructions in the syntax enable you to to adapt the use of labels.

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b.telligent Blog: Data Science

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.

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b.telligent Blog: Customer Intelligence Insights

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!

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b.telligent Blog: Data Science

Looking into the Data Science Toolbox

How to implement Data Science for a customer without an established software environment? Our "Data Science Survival Kit" helps to be successfull.

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