Data Analysis & Visualization
When it comes to professional data visualization, there are two key factors:
- Visualizations should make data easy to understand, highlight important correlations and identify problems early on.
- The type of visualization should always be adapted to the respective user, e.g. a controller will require different visualizations to a manager.
In order to meet these requirements in a climate of limited IT resources, departments are increasingly asked to analyze and format data themselves. Professional self-service software allow these departments to independently visualize data, reduce the time required to create reports and improve their quality.
Our consulting services
At SIEGER, we can provide you with full service support in the area of data visualization: