• As an IT company with 16-years’ experience, thousands of completed projects, and hundreds of clients all over the world, DataArt has a vivid professional and corporate history. Data Visualization competence center developed a visual timeline for the corporate website with key events from the company’s evolution highlighted.

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  • In the middle of June, DataArt announced the start of a partnership with the creator of MongoDB, 10gen. Within this collaboration DataArt developed a new visualization demo app, a risk reporting suite for Open Protocol Enabling Risk Aggregation (OPERA) that allows investors to integrate data sources, aggregate investment exposures, and proactively manage risks. The prototype was presented at SIFMA Tech in New York. In this blog post I’m going to reveal some data visualization details of the app.

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  • As a multinational company with offices in five countries and about 1,000 employees, DataArt has a wide range of specialists across multiple technologies. Hundreds of projects are in development at any given time. But when the time for a new project comes we need free up specialized and qualified developers to work on it in order to meet the requirements quickly and effectively.

    The “Bench” is our special feature, when specialists are placed ready to take up new projects immediately. This bench is always maintained at a suitable level.

    I want to present to you this staffing system with an example how all the information for resource managers is visualized.

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  • Data visualization is usually effective way to tell data stories. However when analyzing data we always should understand that usage of visualization techniques should be reasonable and use them wisely.

    Despite the clear benefits of visualizing information, the concept has often been treated as a last-ditch approach, a less intellectual way of arranging data, or the information equivalent of putting lipstick on a pig. That doesn’t mean we don’t want to do it, though – meme-style trends like infographics and interactive maps have caused visualization to run rampant, but in turn, have aided a self-fulfilling prophecy: the practice is mainstream now, but redundant, rendering a lot of the available visualizations ineffective.

    http://www.business2community.com/strategy/data-visualization-effective-illustrating-or-redundant-rendering-0459264

  • DataArt data visualization competence centre announces completion of a prototype which allows visualizing councils’ spending in England regions and counties. Built using HTML5, Raphael, and D3.js, the application contains interactive visualizations available on all major browsers and platforms, including the Apple iPad. Also, using these technics we could visualize statistics from any independent source and form the appearance of each infographic according to the data.

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  • Together with DataArt’s Data visualization competence center and Healthcare practice, we have developed an interactive application that functions on several platforms including desktop and mobile browsers and allows building nomograms.

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  • The Science of Data Visualization

    03 December 2012
    By Vladimir Timashov, Project Manager

    All its history, mankind has been working with the data. And (as British scientists learned) since 70% of human brain is oriented for perception of visual information, the most complex and challenging task was visualization of this data. For centuries, scientists worked hard to create graphics of mathematical functions, charts to display trends and tendencies, maps of the continents and territories. Originally all those visualizations were created by hand on scraps of paper. Nowadays, when we have computers, more and more visualizations are created using information technologies. Visualizations become more complex displaying large amounts of data, being interactive and helping people to “talk” to this data.

    The science of Data Visualization tells us how to visualize the data in an effective and spectacular way. Visualizations are created in HealthCare, Finances, Social, and frankly speaking any industry may have the need of visual data analysis.

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