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.
Data is used everywhere throughout the organization. Data usage has been growing over time, increasing exponentially. All the more reason to have a basic understanding of descriptive statistics and data in general.
In this training
we'll focus on the basic notions of data, without going too deep into the technical part.
After this training
you will know how to interpret descriptive statistics, know where to focus on when interpreting dashboards and how to use different measures.
This training is for
everyone that wants to become data literate.
General
Full day
550
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.