The visualisation of data is one of the most pressing needs in today's business world. Every day 2.5 quintillion bytes of data worldwide and 90% of all current global data was generated in the previous two years alone. The growing number of devices connected to the Internet is rapidly increasing data generation.
The advanced tools of business intelligence (BI) and data visualisation enable business stakeholders to collect and analyse the large volume of business data, understand trends and complex patterns. In recent years, data visualisation is becoming more inventive and proficient in making data analysis useful for non-technical consumers.
Through the use of infographics and dashboards, data visualisation is embracing new technologies to enrich itself and consumers. How is data visualisation likely to influence the way we interact with data in the near future?
Virtual and augmented reality for data visualisation
With the unprecedented generation of data, conventional desktop monitors or TV screens are likely to be insufficient to represent 2D and even 3D images. With the virtual and augmented reality market estimated to be worth $170 billion by 2022, these technologies are likely to shape the future world of data visualisation and analytics.
Using virtual reality (or VR), you can analyse and review data in a 360-degree virtual space. Business presentations are likely to take place in a VR-simulated environment, with company executives sitting around watching on a projector screen.
Easy-to-use data visualisation with a smartphone
Since the acquisition of the company from data visualisation of smartphones, Mapsense by the technology company Applemobile data visualisation is gaining importance in the industry. The rapid shift of internet users from desktop to smartphone is driving this transformation. Visualisation charts and dashboards are for the smaller screen size of the smartphone.
This future trend is ensuring that more users can now analyse data and obtain useful information directly from their personal smartphones.
With the increasing availability of data and analytical tools, it is likely that the data-driven journalism by media companies is increasing globally. News stories told with the use of an interesting infographic or statistical map is a great example of how to use data visualisation in the field of journalism. Creators of news-related content are realising the potential of data visualisation as an effective way to tell a story in a few seconds.
Increasing the variety of data sources
Along with the large volumes of data being generated, large corporations are seeking insights from the growing variety of complex data sources. Among Big Data success metrics, 69% of corporate executives considered data variety as the most important factor, followed by data volume (25%). While finding data is no longer a challenge for most data analysts, the overall quality of the data visualisation will depend on the quality of the data that goes into it. This means that data visualisers must evaluate and select the right data sources to visualise in the future.
Artificial Intelligence (AI)
At a time when the AI technologies are major industries, there is no doubt of its impact in the area of data visualisation. With traditional dashboards unable to cope with the increase in complex data representation, AI and machine learning combined with data visualisation are now redefining the customer experience. With their natural language processing (NLP) abilities, AI and machine learning are becoming effective at capturing critical business data informationThis improves the effectiveness and accuracy of the data displayed.