Paper Presentation on Data VisualizationData Visualization Pros and ConsPlease include the following:Select a specific business case, describe a good data visualization approachWhat are tangible...

Data Visualization
Data visualization is one of the key processes of any business to easily understand of the business performance we can also call it a single shot glance. Instead of seeing numbers and tables, plots, or graphs that are more visually appealing, it will be easy to get information about the metrics or measures.
In the data analysis process, the presentation's key points to the user will be given in a visual format to easily understand. To come up with good visualizations, there should be some experience in it to be more specific to get the proper interpretation of the result.
Data visualization is showing the numbers based on some dimension or some geographic elements. For any analysis or findings, the final conclusions are dependent on the data visualizations.
Here by using visualizations we can understand the complex data with a glance.
Data visualization pros:
· In some situations, in business, we must do comparisons between the two measures or elements or between two scenarios then that time it is easy to understand the patterns of the selected measures between those scenarios so here is useful for good understanding. For example, the marketing performance of two tactics on the targeted measure or element. This can be difficult to understand the user if we present in numbers.
· By using visualization, we can easily spread or share insights or information through the industry or the users easy and quickly. So, easy to understand and the quick result will help the user to be a time saver.
· The result will be accurate because all the graphs are generated from the raw data itself so there will not be any improper results to make conclusions.
· With this we can easily find the relation between the measures or the events to know the effect of one measure on another.
· We can easily find out the trends of data even though the data is large. So, this will help our users to understand the trends of business in the past.
· The main use is that we can see the result by segregating the dimension which means by the state, region, and country.
Data visualization cons:
· There will be some plots with the future prediction of measures that may be sales. But these results are not accurate those are...