3 Data Sources To Help You Build Customer Personas
We all have access to more user data than ever before; coming from our customer support systems, site analytics, and even surveys where we can collect more qualitative information. All of this data builds the foundation for customer personas. Read on to find out which sources to pull your customer information from, and how to maximize it to build customer personas that truly represent your target audience.
The Do’s and Don’ts of Dual Axis Charts
A dual axis chart is a great way to easily illustrate the relationship between two different variables. They illustrate a lot of information with limited space and allow you to discover trends you may have otherwise missed if you’re switching between graphs. However, many data analysts hate them, but why? Dual axis charts, if used incorrectly, can be misleading. This post will walk you through when to use dual axis charts, and when to stick to a single y-axis.
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DataHero Announces Dual Axis Charts
New to DataHero: Dual Axis Charts DataHero offers effortless data visualization of the information from your cloud services you use on a daily basis. When you sign up for the tool, you’re able to make sound decisions with confidence. Now, to deliver value quicker, DataHero introduces dual axis charts. This new feature allows users to better represent two numerical variables within one visualization.
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Answering Your Most Pressing Questions With Your Ecommerce Data
Sometimes you might feel like there are hidden insights in your ecommerce data that you aren’t taking advantage of. Knowing where to start to discover these insights can be tricky, but using DataHero, Shopify and Google Analytics together can make winning with your ecommerce data much easier.
Data Visualization Throughout History
Data visualization has been around for a long time—far longer than computers have existed—and it is valuable because it allows us to represent a significant amount of data in a way that is easy for our brain to interpret. The first representation of statistical data (below) is credited to Michael Florent Van Langren, a Flemish astronomer. Created in 1644, this one-dimensional line graph shows twelve estimates of the difference in longitude between Toledo and Rome with the astronomer who provided the estimate.
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