Learn how to estimate the risk of churn in a customer database by using the power of Alteryx

This model will estimate the risk of churn of telco customers and can be used to set up a retainment policy. Furthermore, we will do it together.

Mapping geographic variations of income with Alteryx

We would like to visualise the variations of the average income in Belgian municipalities. We also want to see clearly which municipality of every region has the highest mean income.

Learn how to calculate and visualise local variances of your market share with Alteryx.

In our previous article, we measured how the market share of a Belgian company evolved between 2016 and 2017. In that analysis we concluded that there was no significant difference between the market share of both years at national level. Now we want to have a closer look at these evolutions with a local approach.

How to measure the increase of the market share with Alteryx

We will analyse two consecutive years (2016 and 2017) and see how the market share has increased. First of all we load the files of the sales by customer and by year. We also have access to the sales potential by postal code and by year.

Load, check & join your data: how to use these great tools

In this newsletter we want to show you how to use the different join tools in order to analyse your data and obtain great insights. In this case we have data regarding customers and their purchases. In order to make interesting analysis, we have to join both files.

5 ways to join your data in a seamless process with Alteryx

As an analyst you are faced with the reality that not all data is in one system or location. Getting access to that data is one step in the analytics process, blending and combining that data is a key component to create an analytical dataset that companies can use to take informed decisions.