Companies are currently in the middle of a major digital transformation. Being able to quickly respond to new customer needs and expectations is crucial. Consequently, project teams are being organised differently. For example, more and more SCRUM teams are being put together to provide software more agilely. However, a question I’ve been asked by customers repeatedly concerns the place that architecture must be given within this story. My opinion is that a minimum of architecture is always necessary. Just enough, just in time. In this blog post, I want to illustrate a technique, based on a previous project, that lets you gain a helicopter view with a minimum amount of enterprise architecture, which is something that is unarguably adding value for a company that is going through a complex transformation.
Imagine, you are working with an enthusiastic team to make your product skyrocket. Each iteration you are adding a few features and information to complete your product. But suddenly, you notice a drop in conversion rates. Your customers are raising a bunch of support questions, are not converting anymore and give you poor usability grades. You are left confused. Although you gave your customers more tools and information to fulfill their tasks, their performance declines. Indeed, you are diagnosed with featuritis.
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.
Smart Manufacturing, Industry 4.0, IoT, etc. are hot topics in our environment. To learn more, we visited the ABISS (Advanced Business & Industrial Software Summit) trade fair held on Thursday 5 October at the XPO in Kortrijk. Throughout the day, the questions at the back of our minds were: “What can AE signify for these companies?” and “What does AE still have to learn to become relevant to these companies?” Finding answers to these questions requires further thought but before that, here is our report of this extremely interesting day!