Knowledge Sharing

If your team has adopted Power BI in recent years, you've likely experienced its many advantages. However, the user-friendly nature of the tool can be a double-edged sword. In this article, we explore three common pitfalls we have seen organizations face when using Power BI. By addressing these pitfalls, organizations can maximize Power BI's potential to transform their data into meaningful insights and drive informed decision-making.

At Datashift, we've witnessed firsthand how Collibra can transform Data Governance practices and keeps pace with evolving market demands.

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 allows business users to independently access, visualize, and analyse data. Although this sounds very promising for organizations, it also introduces challenges and potential pitfalls.

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.

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 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. 

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.

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.