The Power of Product Thinking in Data Management to increase business success
Your data isn’t lacking infrastructure. It’s lacking impact.
Product thinking brings the focus back to business outcomes—by treating data like a product, not a project.
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.
Three out of four Flemish companies still make no use of AI
Discover the challenges faced by Flemish organizations in adopting AI, from the knowledge gap to legal and ethical concerns.
Let’s face it: data doesn’t drive business value
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?
Data Mesh - Beyond the buzz
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.
5 ways to leverage your existing data with minimal effort
Do most data blogs make you feel like everything you should do is expensive, time consuming and requires complex skills? Well, this blog is different. Here are 5 practical recommendations (in no particular order) to leverage your existing business data with less effort than you think.
The 5 ingredients of a successful data strategy
Many organizations struggle with ongoing data issues and are missing the opportunity to use data as a means to profoundly impact their business. What's usually missing is a comprehensive data strategy. Let's have a look at the 5 ingredients a successful long-term data strategy can't do without.