Last year has been quite exciting, full of wonderful events and the joyful welcoming of a few new members to our AE family. Before we said goodbye to the year of 2018, we held our end-of-year Analytics foyer in December.
During this festive edition, our team of Data Scientists shared a number of different success stories we realised together with our customers in 2018. In our previous blog post Looking Back at our Analytics foyer: Part 1, we presented a deep dive into these different successes brought during this inspiring evening.
Looking back at our Analytics foyer: Part 2
Looking Back at our Analytics foyer: Part 1
Our Analytics foyer took place last Tuesday. At this festive end-of-year edition, we’ve proudly welcomed 79 attendees to conclude 2018 together. It became an interesting afternoon and evening during which the public was introduced to several customer cases and the potential of Artificial Intelligence. Our take home message? Analytics turns data into useful insights that take your business to a higher level.
Hackathon 2018: Team MINT
The AE Hackathon gives customers and prospects 36 hours to come up with an innovative idea and a minimum viable product. The fifth edition of the Hackathon took place in June 2018. In this series, you will meet all the participants.
Geospatial Analytics: the importance of WHERE
This post was written by Oliver Belmans & Bram Vanschoenwinkel
A previous series of blog posts on Marketing Analytics offered an extensive overview of the available analytical techniques for marketing and their added value. Some examples of these techniques included market basket analysis, customer segmentation and churn prediction. A conclusion reached in these blog posts was that data analytics are the ideal extension to traditional marketing: based on data, we gain insights into (potential) customers and their behaviour, so that we can target them in an even more personalised manner.
The first of a two-part blog post zooms in on an important category of marketing analytics: Geospatial analytics or Geographic analysis. What can geographic analysis signify for your business? What is the added value of using this analysis? In a second blog post, we will explain the more technical aspects, show you how you can start up this analysis with the help of the open-source software R (the R Project for Statistical Computing) and provide a complete step-by-step plan of our own workflow.
