We are Rockfeather. We use Data Visualization, Data Science, and Low-Code technology to build smart solutions. Together with our customers, we create best-in-class solutions for various industries and functions. Therefore, this is how we embrace technology and empower people.
Data Visualisation, Data Science and Low-Code are at the core of everything we do at Rockfeather. As a result, we combine these technologies in our projects and solutions. We work with a portfolio of the best toolsets in each category. Hence, click on one of our expertises to learn more.
Data visualizations make big and small amounts of data more accessible for the human brain to understand. Charts, diagrams, and maps, data visualization tools provide an approachable way to recognize and explore trends, outliers, and patterns in data.
Data science is a combination of statistics, software engineering, and domain expertise to gain insight and understanding. Data science is a human activity and should not be confused with artificial intelligence. We distinguish three types of insights that data science can provide: descriptive, exploratory, and causal insights.
Low-code is a development approach to application development. Low-code enables developers of diverse experience levels to create applications for web and mobile, using drag-and-drop components. Low-code platforms free non-technical developers…
Always wanted to know more about Data Science? During this free workshop, you will have the opportunity to take concrete steps in the field of Artificial Intelligence, Data Science & Machine Learning in one day. Wait, did we tell you it's free?
ISS-Facility Services want to become the best service provider in the world. To become the best, they want to work with a number of its key-accounts based on a new business model, in which cooperation between partners is central.
The Hans Anders Retail Group wants to expand considerably abroad. The retailer is also ambitious in its information needs. What is the impact of data-driven reports? And what does the digital transformation mean for the future of finance? Martijn Meuling talks to CFO Hans Platschorre.
You’ve probably already heard of data science, artificial intelligence and machine learning. But how do you avoid jumping on the data science bandwagon, like many other companies do? And where do you start? In this introduction to data science we will explain data science in easy-to-understand theories. Start learning today!
The Gartner Magic Quadrant for Business Intelligence is a piece of analyst reporting we look forward to every year. Both the dept and the scope of this research makes it worth the read. But not many people take the time to really dig into the details of the report.
Are you looking for a Data Science and Machine Learning solution? Then Gartner’s Magic Quadrant for data science and machine learning platforms is a valuable resource. A lot of people only look at the famous 2-by-2-matrix, but there is much more than just this matrix. That’s why we dug into the dirty details of the full report and put all this into a 20-minute webinar. In this webinar, we will show you all the vendors that are scored as a leader in Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Platforms.