Welcome to our blog section. We “blog” about everything on Data Visualization, Data Science, Data Integration and Low-Code. You can find the subjects you are looking for by using the filter option below. Please contact us if you want to share your thoughts about our blogs.
In this webinar our experts compare the two solutions on four aspects. In just over 10 minutes, you will learn the difference between Power Apps and Outsystems. Sign up at the bottom of the page and watch the webinar right away!
In this online workshop, you will learn about several key features of the Power BI service. This introductory course is designed to teach you step-by-step how to create Power BI Desktop reports. Fill in your details to view this session!
Language workshop: Dutch.
To ensure that data in Power BI reports do not fall into the wrong hands, it is possible to apply Row-Level Security (RLS) to any report within a workspace. RLS in Power BI ensures that for each recipient of the report a difference can be made in what data they can see. It is important that the setup is done accurately and that the members of a workspace are assigned the right role to prevent them from seeing too much information, for example. This RLS layout of the online workspaces in Power BI has changed in the last few months. In this blog, we explain what to pay attention to when setting up a new workspace and setting up the renewed RLS in Power BI.
In this blog we explain you all you need to know about Microsoft Data Integration Services. The Microsoft Data Integration Services is an umbrella for different solutions, we help you to find your way through these different solutions and what you can use them for.
Are you looking for a new dashboarding or data integration solution? Do you want to compare data science solutions? Or do you want to see Low Coding platforms in action? It’s all possible during the Data & Analytics Line Up 2021! The recordings are now available. Please note most tool sessions where in Dutch
Visualising your data is a great way to bring the right message across to your audience. Until now, data processing scripts or low-code functionality enabled BI analysts to transform the data and filter out only the most important data. At the same time, many BI analysts are pumping up their python (or R) knowledge to apply more advanced analytics to their data and visualise that in a dashboard or low-code app.