How visualization is important in Big data analysis

By Smita Kumari |Email | Jun 7, 2018 | 12354 Views

Now big data and analytics lies in the heart of every organization but data will act as a garbage for data scientist until and unless they are not able to visualize the data and its impact on key activities and the business outcome.

"A picture worth 100 words" considering the fact data analyst can not overlook the significant importance of visualization of data in the data analysis process and decision making.  As with the increasing quantum of data the complexity of analytical model increases and understanding the impact of those to the outcome becomes more complex.

What is data visualization?
It is process of understanding the data in visual forms such as patterns, trends, correlations etc. that gives a clear picture of the data available more than the information in text and improves our analysis, predictions and decisions.
Data Visualization provides a clear picture
Data visualization helps data analyst to have good observation and deductions and present those data in such a manner that is eye catching and understandable to the audience. Effective data visualization requires a strong background knowledge of data science. The result of data visualization must be actionable insights to take strategic decisions.
Apart from the data science skills, a person with good knowledge of business must be in the team. The data scientist says that the more data they will have access with the greater will be model to predict the future outcome with the help of data visualization.
Data visualization focuses on the key areas that need attention or improvement. By putting data into graphics, chats and other visual forms, data visualization helps to understand the state of business and discover trends and patterns that bolster successful strategies. 
Integration of Multiple source of data
The integration of different sources of data improves the visualization process and ultimately the decision. We can take example o weather forecast where we can see how single data source can be utilized for different purpose. Here visualization has significant contribution that shows how weather affects people's daily life. The correct visuals and graphics helps people to understand and quickly grasp the complex information in easier way. Data visualization helps to understand the complex relationship between different variables as the climate condition highly depends on geographical location.

Benefits of Data Visualization:
  • Grasp information quickly
    With the help of visuals and graphics, user can easily and quickly grasp the huge quantum and complex data. Data present in visual form is easy to spread to the internal members and they will be more receptive to it.
  • Understand next step
    Data visualization display trends over the period, discover patterns based on available data which helps to identify the decision maker what should be next step towards the success of business.
  • Display eye catching content to audience
     No one wants to read 100 lines of information rather people shows their interest in things that presents eye catching information. Data visualization display important information in visuals that keep the audience interest for longer time and made easy for them to remember some data points.
  • Connect dots
    Data visualization shows relationship between different variables and connect the dots of different data points. It helps to identify the key factors that may impact business outcome. 
  • identify the outliers
      Data presented in visuals form easily identify outliers that may cause error in your decision making. Outliers are those factors that changes the impact of data in wrong direction, so it is important to eliminate them which will improve the validity of data driven decision on the business outcome.
So, data visualization provides an effective means to make your data more powerful in understanding the business conditions and trends and take decisions.

Source: HOB