One-Stop Shop for Data Governance: Why Collibra is a Game-Changer
At Datashift, we've witnessed firsthand how Collibra can transform Data Governance practices and keeps pace with evolving market demands.
Implementing Microsoft Fabric: Insights and Best Practices
As a Data Architect at Datashift, I've had the opportunity to work extensively with Microsoft Fabric since its introduction. Over the past year and a half, Fabric has shown tremendous promise, but like any new technology, it has had its challenges.
Self-Service BI: Blessing or Burden? Dive into Benefits, Challenges, and Solutions
Self-service BI allows business users to independently access, visualize, and analyse data. Although this sounds very promising for organizations, it also introduces challenges and potential pitfalls.
Is your data governance stuck in excel? It's time to upgrade!
Many organizations still rely on tools like Excel and SharePoint to manage their data governance needs. However, the complexities and volume of modern data requires a more robust, scalable and efficient solution.
Enter modern data governance tools.
How to Leverage your Competitive Advantage in the Era of AI
An AI that is trained on your specific data cannot be copied by competitors and is a very strong way to set you apart. Let's have a look at how you can fine-tune your AI systems on your specific data.
Geospatial Analytics: From Theory to Impact
Geospatial analytics might be one of the most fun areas you could work on as a data professional, and one of the most useful as an end user. What makes it so enjoyable and useful is that it is a direct representation of the outside world.
Meet Nathalie: "I’ve worked for a smaller company and for one of the Big Four. It is very clear that Datashift has the best of both worlds."
Datashift keeps growing and attracting new talent, but now we want to put some of our more senior colleagues in the spotlight. Nathalie has been with Datashift since the beginning and was Datashift's second employee. In this interview with Nathalie, she talks about her decision to join and looks back on those first eight years.
Meet Michel: "We really want to do well for every client even as we continue to grow. At 10 times bigger, we will still be very close to our DNA."
Datashift keeps growing and attracting new talent, but now we want to put some of our more senior colleagues in the spotlight. Michel is a strong force behind Datashift and has been for more than 7 years been in the company. Michel saw Datashift growing and he shares his thoughts on past and future.
Is my chatbot ready for production?
Large Language Model (LLM) applications are everywhere. From chatbots, to webscraping tools and even the usage of LLM's to automate administrative tasks completely. All of this cutting-edge technology, obviously, has the potential for enormous business impact. However, can we prove that our investments in this technology are driving value? When is the performance of these applications "good-enough"?
