New Trends in Data Visualization

Data visualization has an important role in the field of information management. In order to make good decisions, you have to be able to understand and analyze available data. Sound data visualization techniques will help in achieving the desired results. And to stay ahead of the game, you need to know about the latest tools and trends in data visualization. With this perspective, we are looking forward to the new trends in data visualization. Read on to know more about the latest trends for 2017.











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Impact of Enterprise Mobility Solutions on Expanding IoT

As organizational IT infrastructure keeps evolving, newer challenges of enterprise mobility also surface. A usual consequence of expanding innovation, no longer is the Internet of Things limited solely to hardware. WiFi systems continue to serve as vital nodes of a complex circuitry. From smart phones to backup cloud servers, everything is inclusive. In purview of integrating the latest systems into the overall security framework, top innovators compete to provide hi-tech wearable gadgets among other solutions.
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Delving Deeper into Sci-Fi Reality with Immersive Data Visualization


Many folks engaged in the digital revolution from the beginning still find it wondrous at times. The experience must be truly mind-bending and useful though. Young techies in their twenties cannot exactly relate to folks in their thirties or forties with the experience of a much less ‘technical’ reality. The differences of growing up in an era when mobile phones seemed rather an improbable science-fiction idea, the pace of latest developments can feel rather wondrous at times. Things that were seen only in movies like star wars coming to mundane everyday reality (not all of it of course till now) provides a great kind of immersion.

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How Augmented Reality will change Data Visualization

Visualizing Data is an integral part of Big Data projects which involve large- scale analytical operations to draw insights from the ever-increasing amount of digital data that is being generated and stored. There are limitations in the amount of data which the human eye can absorb from a flat computer screen. This is where Augmented Reality plays an important role in helping users to understand and analyze Big Data. Augmented Reality immerses the user in a digitally created space with a 360-degree field of vision and simulated movement in three dimensions. This process significantly increases the bandwidth of data which becomes available to our brains.

Using Augmented Reality (AR) in Data Visualization helps to take care of issues such as narrow visual angle, navigation, scaling and limitations in human perception. For example, by wearing the HoloLens Headset, users can have a full 360-degree view, thereby solving the visual angle problem. Not only that, these devices can also help users while navigating through large amount of data. By adopting dynamic projection along with interactive visualization methods, Augmented Reality Devices and Motion Recognition Tools help solve the scaling problem. This technology becomes even more relevant when the data is multi-dimensional as in the field of architecture.

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Data in Sheets vs Visual Data

There is a vast amount of data available when it comes to collating data about a certain subject. Also, there are many ways in which this data can be presented. Data could be input in a textual form in a spreadsheet or presented visually in the form of a table, pie-chart or infographic. Based on the needs of the user, a choice can be made between ‘data in sheets’ and ‘visual data’. In this article, we will understand the difference between ‘data in sheets’ and ‘visual data’.



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