Monday, 24 April 2017

The Essence of Data Visualization (Conclusion)

As I mentioned previously that data visualization is a combination of art and number. When it combined together, it creates a special language that helps us communicate information better, and the attract our eyes and mind to discover patterns, trends, and correlations in our businesses that might otherwise go undetected.

In Ghofran Batterjee’s blog mentioned that “Due to the easy accessible of data analytics that is assorted and represented impactful visually and had a better efficiency in representing the information, decision makers can identify new patterns because, without a doubt, it is like taking a further step by examining the graph or chart for more details and information and engaging the message quickly.” I totally agree with her on this point. Indeed, focusing on the key challenges analysts face trying to communicate complex information, and how visual communication can help.


But, What Are Some of The Best Data Visualization Tools?


I totally agree with her on this point. Indeed, focusing on the key challenges analysts face trying to communicate co


Many digital marketers asking the same question about which is the best available tools for data visualization that will help them to translate the collected data into meaningful information.
Here are the most popular tools for data visualization:
  1. SAS Visual Analytics
    • This tool allows you to create interactive reporting in a visually appealing format and dashboards.
    • Users can enhance the analytic power of their data, explore new data sources, investigate them, and create visualizations to uncover relevant patterns.
    • Enables users to apply the power of SAS analytics to massive amounts of data.
    • Empowers users to visually explore data, based on any variety of measures, at amazingly fast speeds.
  1. Tableau  Norah's Marketing Analytics Blog gives an excellent explanation for Tableau
    • Easy to integrate
    • Visually-appealing reports that are easy to understand
    • Easy to use
    • Create visualizations for a large amount of data without crashing


1 comment:

  1. I prefer to use Tableau, it is a user-friendly interface.

    ReplyDelete