According to David McCandless (an author, data journalist, and information designer, ‘when we visualize information, we turn it into a landscape that we can explore with our eyes, a sort of information map. And when we are lost in information, an information map is kind of useful.’

When we analyze data in the 2-Dimensional format, for example, those made up of numbers listed in spreadsheets or detailed on pie-charts, our abilities to process information and yield maximumly useful results are limited. This is because a whole layer of details gets covered in 2D representations that sometimes surpasses our cognitive capabilities; the trends could be hidden either in the numbers or in the texts.

The physical representation of data emancipates our cognitive processes and enables us to unearth details that we might have highly overlooked in traditional methods of representation.  

Big data is a potential bridge of unprecedented opportunities for businesses to meet deeper and faster insights capable of strengthening their decision-making abilities, hoisting their customer experiences, and accelerating their pace of innovating new business solutions. The saddest bit about this is that most businesses are so overwhelmed and struggling with the varieties of big data cascading through their various levels of operations. Most of the data is not yielding equivalent or more value to their business proceedings.

To derive more value from big data, businesses yet to realize full advantage of their enormous data should turn to 3D Visualized-Based Solutions that promote enhanced levels of business intelligence. Spatial is an example of the most renown and accomplished 3D visualization solutions builders with an array of tools for various business industries and markets in Manufacturing, Building Information Modelling, Process Power and Marine, among others.

3D visualization presents business data in realistic terms; rather than visualize your business in abstract charts, graphs, and reports, it connects your data with nearly real-world entities, resulting in better decision-making processes. This includes business performance, risks, maintenance, financial requirements, and everything in between.

When big data is interpreted in 3D, it takes advantage of various visual realities which give users an accurate and realistic view of their past, current, and possibly future views of their businesses. In short, 3D visualization walks us through all forms of data we have collected for our businesses, giving us every area and challenges while interacting with it in plain language that does not require any forms of critical memorizations. It even unearths the most difficult to see outliers, giving answers to vital  questions which we did not even have in mind.

Businesses looking for potential immense benefits from their big data and various process should ask themselves the questions revolving around, ‘how can we best present our data for interpretation?’  The engineering, manufacturing, and healthcare industries are just examples of businesses that can reap high-end benefits from turning big data into business insights with 3D visualization tools for Business Intelligence.

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