What is Data Visualization?

The exact meaning of data visualization is the visualization of data. Information can be presented to the user in a very clear and graphical way. The user then can assimilate and interpret that information very quickly.

The efficiency of this interpretation is determined by how fine the data has been analysed and then visualized. You may know more about the basics of data visualization through a good tableau consultant in your locality.

What is the need of Data Visualization:

Data Visualization

The data visualization is needed to transfer the information in a clear, brief and graphical way to the viewers. Every business has some amount of raw data which they have to manage. Making smart decisions for business is dependent on how good a business can analyse and understands that data.

A data in a documented format like spreadsheets and tables can be examined easily. Though, this kind of data is overwhelming as well as difficult to interpret for an analyst. If the key trends are not identified, it may result in making poor business decisions.

This is the reason why data visualization was introduced. With the help of data visualization a big amount of information can be displayed instantaneously and accurately to the user. This can be done through scorecards, charts, dashboards, maps, graphs, gauges and other means.

Visualization of data

The key trends can be recognized very quickly, thus resulting in wise decisions for business. There are many tools for data visualization like Tableau. You may take up a tableau online training if you want to learn this software.

The Business Intelligence and Data Visualization:

Data visualization is just a one module of the business intelligence stack. Business intelligence is a process of collecting, operating and then investigating the business data. The business intelligence stack comprises of the following components used to achieve these objectives:

Presentation Layer:

The presentation layer contains several methods that are used to display the data to the end user. Data visualization elements and tools include:

  • Performance dashboards
  • Digital scorecards
  • Charts, graphs and gauges

Data Visualization Process

Analytics Layer:

The data is refined and manipulated into a required format in the analytics layer. This layer comprise of:

  • Predictive analysis
  • Data mining
  • KPI (key performance indicator) creation
  • Third-party BI tools

Data Layer:

This layer includes all sources that are used for analysing the data which mostly comes from MS SQL, MySQL, OLAP and Oracle databases. If you interested to read the latest news about data visualization, you may search them on the internet.