The world is data-driven. But how can we reveal data in a new and meaningful way? It can be done. If we stop thinking in rigid structures and hierarchies and start thinking in relations and associations. A shift in paradigm. Data is just a diversity of things that are somehow related. So it can be treated and visualized as a network. Let us break the bounds and imagine a different way to present data, a new way of browsing. Combining the importance of data with fun and empowerment for everyone to understand data and deal with it.

Meurs Challenger is a data visualization software, integrated with interactive data analysis and browsing features. Since almost any data is in fact relational data, it can be modeled as a graph. As an alternative to classic grid based data visualizers Challenger offers the possibility to reveal data in a new way, based on graph visualization. The technology behind Challenger is mainly related to Computational Geometry, Algebra and Graph Theory. Our research is based on studies regarding force-based layout, modularization, as well as refining modularization using Fuzzy Logic, alternative approaches based on Metrics and minimization problems, drawing techniques, density of nodes and other optimizations. Challenger provides online, fast visualization of large data sets (seen as graphs, or networks - 250.000 nodes, 1.000.000 links).

VISUALIZE
See your data as a network of related things, in a way that is intuitively meaningful. Revealing a consistent topology that allows you to see at a glance what’s really going on at any time.

BROWSE
Navigate through your data. Dive into parts. Zoom in, zoom out. No need for previous page or next page. Use searches, selections and filters to browse just a slice of all the data.

ANALYZE
Puzzle over your data in an exciting way. Extract information, see trends, play with relationship types to change the view on your data, identify groups, discover (un)expected information hidden in the data


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See more visualization examples:
About us
ABOUT US

Meurs is a Dutch-Romanian company consisting of a group of psychologists, mathematicians and IT people. Its main and original activity domain is Human Resources services (psychological tests, assessments and related fields).

Meurs is an innovative company that believes in "a new way of working", where self-control, confidence, responsibility and initiative are central. This naturally lead to the need of having a visual representation of the organization in this new light. For this we developed Challenger as a company visualizer dealing with employees, ideas, products, projects, customers and links between them. Eventually, the applicability domain of Challenger turned out to be far beyond HR, as it can visualize almost any data. Even though it already reached a mature and usable version, Challenger is being actively improved, and data visualization has become an activity domain itself. Feel free to contact us if you have great ideas or business opportunities. We are open to discuss possibilities…

OFFICES

Meurs HRM
De Bleek 10
3447 GV Woerden
The Netherlands
Phone: +31-0348-487500
Email: challenger@meurshrm.nl

Meurs HRM-RO
Turbinei 1
430144 Baia Mare
Romania
Phone: +40-262-276545
Email: meurs@meurs.ro

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Challenger can be linked online and on the fly to almost any relational data.
See some examples below:
This graph was the subject of the 18th Annual Graph Drawing Contest
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In the composers graph, the nodes represent Wikipedia articles about composers, and the edges represent links between these articles.
Visualize your Facebook data in a way that makes sense! See your friends meaningfully grouped, see what common interests they share (music, movies, tv series, books).

Quick reference

Identify the meaning of a module (see most connected nodes) by hovering the mouse over the modules on the minimap (or statistics). find out more

See friends with common interests (music, movies, tv series, books) by selecting a node (a friend, or yourself) and pressing to create a view with: the selected node, his interests, and the friends that share his interests.

Dive into a part of the graph to see its internal structure by selecting several nodes and pressing the button to get a view that has only the selected nodes grouped meaningfully.

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