How does the data analysis and visualization process work?
Posted: Sat Jan 18, 2025 9:40 am
In the day-to-day of every company, data visualization is central. In any document (for example in a presentation of Goals & Metrics ) visualizing data is important because it gives more validity to the strategy or the proposed conclusions. Here are some steps that can be interesting for data visualization:
1. Data Recovery
The main tool is Google Analytics. It provides an overview of everything that list of ireland consumer email happens on the site , and helps us understand not only our customers, but also ourselves. Of all the data that can be collected and used, these are the ones we consider most interesting:
Web traffic (a specific analysis is done for the blog);
Bounce Rate;
Out Rate;
Time spent on page;
Number of new sessions;
Number of frequent users;
Sessions by channel. Traffic is broken down by source and can be organic, direct, paid, social media, email, or referral.
PPC performance;
SEO actions;
Most visited blog posts;
Session duration, repeat rates, engagement rates and more…
2. Data organization
Once the data is collected, the most interesting thing is to group them all in a single document (for example, Excel) to have a complete picture of all the information we have listed before; by doing so we also build a database that is always updated with all the relevant information.
How to improve data visualization for a project
1. Data Recovery
The main tool is Google Analytics. It provides an overview of everything that list of ireland consumer email happens on the site , and helps us understand not only our customers, but also ourselves. Of all the data that can be collected and used, these are the ones we consider most interesting:
Web traffic (a specific analysis is done for the blog);
Bounce Rate;
Out Rate;
Time spent on page;
Number of new sessions;
Number of frequent users;
Sessions by channel. Traffic is broken down by source and can be organic, direct, paid, social media, email, or referral.
PPC performance;
SEO actions;
Most visited blog posts;
Session duration, repeat rates, engagement rates and more…
2. Data organization
Once the data is collected, the most interesting thing is to group them all in a single document (for example, Excel) to have a complete picture of all the information we have listed before; by doing so we also build a database that is always updated with all the relevant information.
How to improve data visualization for a project