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.
Having the right team for your data implementation is important, having the right processes and tools in place to move forward with data implementation is important as well.
In this training
you'll learn what is needed to make sure your data team can run well oiled. It will focus on the right team setup, the composition of teams (skills and roles), follow-up of implementations, prioritization and knowledge sharing.
After this training
This training is for
managers of BI teams to setup and manage data projects.
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.