The ultimate goal of data and business analytics is finding a better pathway towards a more wholesome success. We talk about a lot of tools and technologies while discussing about data analytics. Experts and enthusiasts alike have a keen interest for the fine nuances of analytical processes but what often escapes us is the immense importance of visual expression of the analytical knowledge. We generally call this expression by the name of data visualization.
Data Visualization describes any effort which enables the understanding of people regarding the significance of data by placing it in a visual context. The representation of the data in pictorial or graphical format helps the analyst to express difficult concept and new ideas.
With the discovery of new tools and technologies, data visualization has risen beyond the standard Excel charts and graphs. Today, more sophisticated means of visualizations such as info graphics, dials, sparklines, and heat maps etcetera are being used. Visualization tools introduced by Tableau have found tremendous popularity amongst a wide range of industries that employ big data analytics. In the current era of big data, data visualization is an absolute necessity. Some of the popular tools used for data representation are – Tableau, Plothy, Data Hero, Dy graphs, Fusion Charts and many more. Tableau has attained maximum popularity because of its small learning curve and easy handling.
The point to be understood is that no data analyst is complete without a certain amount of data visualization training. You might have others to do the representation work for you. That does not mean that you should not be able to speak for yourself. Data visualization is the language that an analyst uses to reach the other departments of a company. It is a way of presenting difficult and confusing patterns to people who are not conversant with the analytical details of your work. A lot of companies have made data visualization training mandatory for their analytics employees. This is a popular trend and one that should be there for a while.
Data visualization helps to consolidate data into one collective, illustrative graph. With the attention span of people reducing every day, excellent data visualization training should allow you to capture the attention and understanding of the stakeholders with greater ease. Data that might seem to be meaningless without visual context may yield a new way of advancing the business. Your job is to make sure that your findings are voiced properly and data visualization is your best weapon in this venture.
Through training you should achieve adequate knowledge about data-ink ratio, colour perception and statistics. While having data visualization knowledge enhances your chances of growth as a data analyst there are a lot of opportunities for freelance data visualization developers and in academics as well. You must stay synced with the current trends so that your work looks fresh.