A Quick Glance on the Major Big Data Visualization Trends to Look for in 2018

As 2017 is coming to a close, businesses are on a look if the big data visualization would be able to maintain its trend of bringing in more creative tools to tackle the numerous data being produced and help them out with the analytical insights in the year ahead.

Data visualization has changed the way the analysts had been working. The use of the data visualization tools has impressed the online marketers the most. 

The engaging graphic designs, with striking colors of patterns and alluring graphs and charts, captivates the visitors. 

Hence, the pressure on the creators is even more in 2018 to keep up with the trend of promoting more creative data exploration. 

Check Out The Major Big Data Visualization Trends to Look for in 2018:

• Advanced Tools for Communication Skills and the Storytelling Skills:  

      More is to be seen in the storytelling skills developed in the recent years following the demands. No doubt, data analytics has a good command over economics, statistics, and numbers, but the viewer is more attracted to the storytelling skills through visuals. Graphs and charts as reported from BI on Big Data do matter, but the chunk of audience’s interest is taking away from visuals. A strong communication skill is needed to convert the stats and insights to a narrative story. Tools that could meet the demands for statistical as well as communication skills are looked for.  Advanced tools in Interactive Infographics, 3D Infographics, Prezzies, GIFs in graphics etc., is expected in the coming year.

• Improved Data Visualization Application:  

      Big Data visualization using application UI/UX makes the complex data sets easier to understand for the decision makers and the key stake holders. However, improved versions of the application UI/UX that would be simple to navigate and scale through are required to be launched. The expectation of being neither too basic nor too difficult and usage across the different interfaces from the improved application is unanimous.

• Handling Complex Data Sources: 

     There is no end to the bytes of data produced and shared in the big data universe. Business Intelligence tools on Big Data require handling these complex data sources and converting them to easy understandable small data. However, most of the tools are confined to only breaking of this complex information to smaller and simpler information.  Advanced tools are expected in the coming year that would extract data from complicated data sources and bring out the captivating patterns of visualization. Advancement towards data humanism is also expected. Data humanism embraces the complex data sources and allows us to humanize the data collected and re-focus efforts on data quality instead of quantity. 

• More Elasticity and Fluidity in Analytics Infrastructure:  

     Advanced tools that would dynamically evaluate the load on a server or node and leverage the cloud storage system would be an advantage to the users in terms of infrastructure. Such a method could mitigate performance issues. The signs of us being on the threshold of more advances and up gradations are clear. Marketers and decision makers are looking forward more unique and advanced solutions being extracted with minimal efforts. 

Leaders taking advantages of the above mentioned big data visualization trends would be the ones benefiting in 2018 and years to come.