Why data visualization is important
Posted: Thu Feb 13, 2025 4:30 am
Data visualizations are very useful as they can help you:
Unlock BI Insights: Business Intelligence (BI) insights are vital pieces of information that inform your decisions.
For example, if you're analyzing your email open rates , it would be a BI insight to say that your click-through rate (CTR) was higher on emails sent through MailChimp rather than GetResponse. This information will likely influence which platform you use.
Translate complicated or detailed results to others: Visualizations can help you explain what your data says to your boss, investors, coworkers, or the media by reducing complex data into easily digestible graphics.
For example, if you were running an A/B test on your WordPress site, you lebanon whatsapp number datacould use data visualization to display the results of “A” and “B” results so they are easy to understand.
Analyze and understand hidden trends in your business data: While some trends are obvious when looking at a data set, many data sets are too large to interpret without visualizations.
For example, if you were analyzing your retargeting ad results for an entire year, a data visualization would show you seasonal spikes that you probably wouldn't be able to notice by looking at week-to-week results.
Quickly compare numbers from large data sets : You don't have to be a big company to generate a lot of data.
Many companies track data, such as conversion numbers from their website . These data sets contain results from hundreds of visitors, so analyzing the data manually would be time-consuming.
Common features of data visualization tools
While every data visualization tool is different, most tools share some common (and very useful) features. This section will briefly describe these features and why they are essential when selecting your ideal tool.
Unlock BI Insights: Business Intelligence (BI) insights are vital pieces of information that inform your decisions.
For example, if you're analyzing your email open rates , it would be a BI insight to say that your click-through rate (CTR) was higher on emails sent through MailChimp rather than GetResponse. This information will likely influence which platform you use.
Translate complicated or detailed results to others: Visualizations can help you explain what your data says to your boss, investors, coworkers, or the media by reducing complex data into easily digestible graphics.
For example, if you were running an A/B test on your WordPress site, you lebanon whatsapp number datacould use data visualization to display the results of “A” and “B” results so they are easy to understand.
Analyze and understand hidden trends in your business data: While some trends are obvious when looking at a data set, many data sets are too large to interpret without visualizations.
For example, if you were analyzing your retargeting ad results for an entire year, a data visualization would show you seasonal spikes that you probably wouldn't be able to notice by looking at week-to-week results.
Quickly compare numbers from large data sets : You don't have to be a big company to generate a lot of data.
Many companies track data, such as conversion numbers from their website . These data sets contain results from hundreds of visitors, so analyzing the data manually would be time-consuming.
Common features of data visualization tools
While every data visualization tool is different, most tools share some common (and very useful) features. This section will briefly describe these features and why they are essential when selecting your ideal tool.