A brief description
The digital representation of data is known as data visualization.
Data visualisation techniques make it easier to see and understand trends, outliers, and patterns of data by including visual elements such as tables, graphs, and maps. Every day, organizations produce more data on sales income, marketing efficiency, customer experiences, inventory levels, output metrics, personnel levels, costs, and other primary performance measures (KPIs). However, with too much data to sift through, people can find it difficult to see the story it tells.
All of the granular data can be turned into readily understandable, visually compelling—and useful—business information with data visualization.
Data visualization’s advantages
Significant lessons can be found in the data that can help you move your company forward. However, looking at raw numbers alone does not always allow you to connect the dots. Patterns, links, and observations appear as you look at the data in a graphic way that would otherwise be concealed.
Data visualization brings figures to life, allowing you to become the master storyteller of the secret perspectives. Data visualization lets users gain valuable market knowledge easily and efficiently through live dashboards, multimedia analyses, maps, graphs, and other visual representations.
What are the best ways to make the most of data visualization?
Data visualization is a valuable medium for sharing and interpreting knowledge because it allows you to see the story behind the facts. Data visualization may be used for a range of purposes, including showing results, communicating patterns, assessing the effect of new techniques, and displaying relationships. This visual representations can be effective networking and teamwork tools, adding value to research, journalism, applications, and any other situation where knowledge may be shared.
Though breathtaking, rich graphics can be effective tools for sharing ideas, data visualization’s ultimate advantage is the potential to help people make smarter decisions.
This course is intended for the following individuals:
Data Visualization for Novices
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