Blueprint for setting up a data team - for data and business leaders

Successful marketing in today's digital era hinges on a profound understanding of customer needs and behaviours, coupled with effective actions based on that knowledge. The vast amount of data available in the digital landscape offers an unprecedented opportunity to gain deep insights into various aspects of marketing. This blog post explores the potential of data science and AI in enhancing marketing practices to achieve optimal results.

Discover the challenges faced by Flemish organizations in adopting AI, from the knowledge gap to legal and ethical concerns. We also shed light on the positive impact AI can have on competitiveness and employment rates. Gain insights into how AI can transform your business processes and why it's crucial to embrace this technology in today's rapidly changing world.

Like oil, data has no value in its raw format. Instead, the value of your data lies in its potential to generate insights or products: it needs to be extracted, refined, and processed before it can generate value. So what does it cost to create value from your data? And how to quantify the business value of a data project?

Chances are you have recently heard a lot about data mesh, a decentralized approach to sharing, accessing, and managing analytical data. So, let's dive into a practical example to help you understand what a data mesh stands for.