Data-Driven Marketing: Embracing Data Science and AI for Success
This blog post explores the potential of data science and AI in enhancing marketing practices to achieve optimal results.
A lot of medium and large organisations have the ambition to get more value out of their data. They might be busy with reporting, have data scientists in their teams, have a data warehouse since a couple of years or just want to start with all of this. How can you assure all these initiatives are aligned with each other and delivering the expected value?
In this training
After this training
This training is for
General
Full day
750
Mechelen
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.
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.