The volume and sources of data are snowballing. Each day 2.5 quintillion bytes of data are created by businesses and people around the world. Organizations struggle with how to apply data analytics to so much information. The number one challenge facing companies is how to implement the correct solution to provide an accurate analysis and interpretation of their data.

Problems with Current Data Visualizations

Organizations are highly dependent on the efficiency of data visualization to understand their information. However, the 2D representation of current tools restrict the imagination, and the conclusions from the input gathered. The ongoing use of pie charts and bar graphs to translate information into actionable insights has limitations.

2D data visualization is slow and cumbersome. Because of the scale of large datasets, a massive amount of information goes unseen and unused. It will take 2D visualization software decades to analyze it all.

Immersive Analytic Technology Amps Up Data Visualization

Creating a wider panoramic of visual data generates a better understanding of the input. Immersive Analytic technology creates a broader landscape of to view datasets. This kind of innovation permits users to see and analyze whole datasets and in real-time.

What is Immersive Analytics?

Immersive Analytics (IA) combines immersive technology Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) with the robust displays of data visualization software.  IA allows users to plunge deep into datasets for a faster and complete understanding of the presented facts. It aims to furnish multi-sensory interfaces for analytics methods that support collaboration.

IA helps users make sense of the large and complex datasets that organizations compile.  As a result, your data storytelling engages your audience with a nuanced and insightful narrative.

Benefits of Immersive Analytics

Larger Scale

IA provides greater scale than 2D data visualization.

AR/VR removes the need for summary reports because users see everything simultaneously.  Users have a boundless landscape to operate in, and they acquire:

  • Depth of data storytelling
  • Spatial awareness
  • Reference to different data points
  • Flexibility in communicating various data characteristics

Increased Immersion Enhances Focus

VR increases the absorption of the analyst. Immersive technology aims the data scientist’s attention on the various dimensions of information. This sharpened attention span allows analysts to use all of their thinking skills to ingest information with ease.

Comprehend More Datasets, In Lesser Time

VR allows analysts to visualize multi-dimensional data. This technology places large concentrated datasets in a multi-dimensional format.  Because of this enhanced consolidation of information, analysts can mentally process more significant amounts of info faster than analyzing data with 2D visualization software.

Immersive Analytics Tools

As more and more data rain down on organizations, being able to turn that data into actionable insights is vital to success. Because of the limitations of 2D data visualization, organizations struggle to get value out of their data. IA is beginning to meet this challenge. Some companies have started integrating immersive technologies with data visualization technology. Here are some IA tools to look for in 2020. 

DXR

Data visualization in Mixed Reality (DXR) describes a novel toolkit aimed at the rapid deployment of immersive data visualizations. The toolkit combines numerous tech clusters into a consolidated development structure. Below is a full explanation of this exciting innovation.

IATK

Immersive Analytics Tookit (IATK), a different toolkit than DxR, visualizes multivariate data. Its focus is quantitative; however, it can manipulate qualitative information as well.

3D charts grant users to detect multiple types of trends if the data is associated with each other.

For example, an analyst could look at several products on the x-axis and volume of sales on the y-axis to find large jumps in sales.

Gain a fuller understanding of this exciting technology below.

IBM Immersive

IBM Immersive applies AR technology to data visualization. This innovation facilitates analyzation of information and generation of insights using 3D visualization. Its purpose is to improve workflows, create collaborative spaces, and ignite the power of advanced analytics.  

Get a fuller understanding this intriguing technology below.

Plotly

Plotly is a 3D data visualization software tool. It lets you create, modify, and share a wide range of interactive and graphical facts on the web, including 3D data visualizations. You use it in the cloud or on-site.

SISENSE

Sisense is a Business Intelligence platform that blends AI components in analytics and BI. It aims to help users prepare data, find new insights, and share those insights with everyone in the organization. The platform permits users to visualize information needed to make informed business decisions.

Incorporating immersive analytic technology with data visualization can reduce the time spent on analyzing information. Also, IA creates stronger insights from the data. Merging immersive technology with data visualization is the solution for analyzing all the information that pours into your organization.