In December 2019, Cloudbrew took place in Mechelen (Belgium). Hosted by the AZUG user group and proudly sponsored by AE, Cloudbrew is an annual – and free – two-day cloud conference that focuses on all things Microsoft Azure. This year’s edition saw Koen Verbeeck, one of our very own consultants, take to the stage with a session on ‘Moving Data around in Azure’, in which he explored some of the various methods of moving data from one service to another. Did you miss out on the event? Not to worry. In this blog post, we gladly summarize Koen’s findings for you!
Together with a large organization, we’re building a platform that presents company data to its data scientists so they can use it to develop innovative applications.
This is the last post in a series of three about the added value of Analytics in Marketing. The first post, by my colleague Bram Vanschoenwinkel, gave an overview of a number of Analytics techniques tailored to a better understanding of your customers and their specific needs. Jessica Ruelens discussed Customer Segmentation & Profiling and a specific case for a company that sells professional training seminars in a second post. I will conclude this series with a discussion about Churn Prediction and a specific case of a bank.
Have you ever wondered how your customers are behaving on a grand scale? Do you know which customers are most valuable to you and which customers represent an undiscovered opportunity? You might have a general idea about the behaviour of your customers - having observed their behaviour in the past - but are you sure your observations are supported by the facts or the data?
In my last blog post I talked about the strategic and competitive advantages that can be delivered by Business Analytics but that a lot of companies are still struggling to apply Analytics and actually gain these advantages. This post is the first in a series of three where the added value of Analytics in Marketing will be discussed.