Data visualization with SAP HANA 
Logistics & Energy Island 

Data visualization examples that tell compelling stories

A data visualization example for SAP HANA

These two data visualization examples for SAP accomplish one major goal in this field: transforming data into compelling and understandable stories. This is how companies can make decisions through Business Intelligence. In this case, we created two different types of visualization receiving data from the SAP HANA platform.

Data visualization examples that make sense.

Raw data as such is just that: data. However, its importance is extreme in today’s business world. Data has to be managed in ways that can offer a clear picture of the current situation. Even more, though, data has to become the dashboard of clear predictive analytics that detects problems before they even occur.

With this in mind, Stereolize developed two concepts that would define why we use data visualization in the first place. The first one deals with logistics. We represented a fleet of vehicles that could be tracked in order to understand different aspects of their activity. For example, we tracked data such as the load each vehicle carries, traveling distances, fuel consumption, etc. This data then transformed into resulting costs and maintenance activities.

The second one focused on energy sources and how these relate to each other. Also, we wanted to represent a scenario in which external influences that increase or decrease the consumption or might affect the infrastructure. In this example, we created what we called the Energy Island. This is a whole microenvironment that serves the purpose of showing how data visualization can actually help today’s business world.

Both projects were specific requests from SAP and Stereolize had to work on the connection between the data (SAP HANA platform) and storytelling (visual representation in real time via graphics and animations).

Let the user work with data!

Of course, data visualization examples like these ones do not have a purpose unless they are fully interactive. However, the interactivity that lies beneath these applications serves users to work with the data in a way that becomes useful to them.


Representations can be modified on the fly to see different scenarios, where we want to understand what can optimize and improve the situation. Effects are important to understand, thanks to data, which are the correct decisions to be made

Logistics data visualization example
Energy Island data visualization example
Some of the iconography and graphics used in the visualizations
Diagram of the infrastructure used to visualize the data coming from SAP HANA

How does it work?

Given these points, we worked on the infrastructure that was needed to generate these visualizations. The core of the data would come from the SAP HANA server. Therefore, the connection has to be bidirectional with the interface. This means that the interface would generate a query. The server would provide the data that was then processed and released to the graphical interface that transformed into visualizations with animations. All of this, of course, has to happen in real-time. This is how the solution becomes incredibly valuable.

Playful and precise.

The difference with any common dashboard for our solution is that we don’t exclusively rely on charts, tables, and graphs to represent the information. With the numbers and trends, we worked to design the actual elements that were involved in these scenarios: the vehicles, the loads, maps of the cities and places where these vehicles had to exist, or even iconic objects that would represent energy reserves in the island. Everything was carefully created to offer a easy-to-understand picture of the situation.

To summarize, we generate two miniature worlds in 3D that would live, react and interact thanks to the data provided in real-time by SAP HANA:

Example of a map driven by data in the Logistics application
Creating objects in 3D that would interact with data