We are Rockfeather. We use Data Visualization, Data Science, Data Integration 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 ambitious people.
Data Visualisation, Data Science, Data Integration and Low-Code are at the core of everything we do. 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.
Whether you use data for Data Visualization or want to predict using Data Science techniques, a solid data layer is essential. Aggregating, cleaning, and transforming data flexibly ensures that everyone can use the same source of truth
Data science is a combination of statistics, software engineering, and domain expertise to gain insight and understanding. Besides, it is a human activity and should not be confused with artificial intelligence. We distinguish three types of insights: descriptive, exploratory, and causal insights.
By 2030, ProRail aims to have 30% more capacity for running trains. That demands a lot from the organization and the management. Data-driven insights are therefore indispensable. Dashboards in Microsoft Power BI provide real-time information about the performance, trends and consequences for the planning of track works. This improves process-oriented and data-driven decision-making so that ProRail can fulfil its strong growth ambition.
Season tickets are one of the most important revenue streams for top-level football clubs. It is therefore in a club’s interest to keep the number of cancellations as low as possible. However, for many clubs it is difficult to estimate who exactly is leaving. In this case study, we show how we used a predictive model to gain insight into potential cancellations at Eredivisie club ADO Den Haag.
There is one thing that’s just as important as finding new clients: keeping your current clients. This one-pager will give you some practical tips to increase your loyal customer group by making use of the science of data!
This year’s Magic Quadrant for Data Science and Machine Learning Platforms scored six Data Science and Machine Learning (DSML) Platforms as leaders. The amount of leaders has remained the same, compared to last year’s number of leaders. But has the composition of the leading area changed?
Power BI and Tableau are both leading data visualization solutions. Comparing the two options can be a daunting task. There is a lot of marketing noise from parties that sell or work with just one of the two solutions. This will not help you.