MapThese visualizes the world’s information for better content discovery and sharing.

We do this with dynamic and lively presentations of content, communities and social navigation.

Visual exploration

The way we browse through a collection of information or goods and pick the relevant ones for the current task or further use.

Ben Shneiderman’s visualization mantra

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    Overview first

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    Zoom and filter

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    Detail when needed

 

Social navigation

The way we monitor other people’s behavior and interests as basis for deciding our own choices and navigation.

MapThese’s social navigation amendments

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    Show what’s related

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    Show what others like

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    Show active online users

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    Where’s the BUZZ ?

We aim to bring the richness and liveliness of real world exploring and discovery to digital services.

THAT MEANS DYNAMIC AND LIVELY PRESENTATIONS OF CONTENT, COMMUNITIES AND SOCIAL NAVIGATION

Think about libraries, market places and bazaars and how the collections are presented; organized by their type, showing both quality and quantity of the offering.


CURRENT DIGITAL SERVICES OFFER SEARCH LISTS OR GALLERIES OF PICTURES. THESE ARE NOT THE ONLY WAY TO PRESENT INFORMATION.

Sure, content discovery is developing. But in most cases net user experience is still like browsing printed papers and catalogues.

WE’VE DEVELOPED OUR VISUALIZATION METHODS AND TECHNOLOGY FOR FIVE YEARS NOW, TESTING IT IN TENS OF B2B CASES.

In these cases we’ve built map-like visualization of communities, business ecosystems, corporate ideas and innovations, project portfolios and customer bases. We’ve always respected the visualization mantra and succeeded providing customers a better understanding of their data.


SO WHAT WE HAVE NOW AVAILABLE, IS AN ULTIMATELY MULTI-PURPOSE PLATFORM FOR VISUAL DIGITAL SERVICES.

These new services are now under construction. You will definitely hear and see them, when they’re ready.

Oh, why the “mantra” ? It’s a widely known and very practical crystallization for designers working with big and complex data sets. Ben Shneiderman works in University of Maryland and has absolutely nothing to do with our company, except that we respect him and his work. You may find his work useful like we did:  https://www.cs.umd.edu/users/ben/about.html