Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd ...

Full Bio 
Follow on

Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd

Machine Learning Algorithm For Neural Networks
1062 days ago

Analyzing data with google Analytics
1062 days ago

Google Analytics: Data Tracking
1062 days ago

Artificial Intelligence, a disruptive technology
1064 days ago

Some amazingly terrifying statements about AI
1064 days ago

Natural Language Processing, giving companies an upperhand

All about robotics in Automation

A take on Deep Learning

Artificial Intelligence, everywhere and making its way into the corporate world

Food Tech And The Latest Developments

Google Analytics: Data Tracking

By lavinaagarwal |Email | May 17, 2018 | 7917 Views

Data tracking using Google Analytics. 
There are different methods of doing this. But also, you could upload data into your account or use the measurement protocol to track actually data in your account.
There are different hit types that you need to know about and also the scopes of these hit types in order to send the data in and the right way.

That's the first concept to master within Google Analytics Once the data flows into your account, it actually doesn't just get stored there, it goes through a processing engine of Google Analytics.
And the processing engine is basically the rule engine of Google Analytics.

That's where your raw data gets divided into sessions, into the user scope, but also is done a number of filtering, it's about the rules that Google Analytics deploys. So, you need to know about the processing engine, how it actually works and how you can manipulate it in order to make the data more useful for you.

There are all a lot of configurations in the admin section that you can do, and knowing about these configurations in order to influence the processing engine is one of the skills that you definitely need to master within Google Analytic.

Once you look at your data within Google Analytics, you basically look at metrics and dimension In that regard, you need to know what the difference is between metrics and dimension, and you can also dive into custom metrics and dimension in order to build a more customizable set of data within your account.
 Metrics and dimension also get super important once you put data together because you need to know about the different scope of that data in order to build a report, for example In that regard, you can also look at calculated metrics because this is a new feature within Google Analytics and you can put data together and transform it basically.

This is something you definitely need to master within Google Analytics. Once you have all that data in your account, you probably have a question that you want to have answered by the data, and this is where our fourth concept comes in which is data exploration and analysis.
You need to go through and know actually how to use all the variety of tools that Google Analytics has available to cut and slice your data in the right way to get to the answer of your question.
Just for example, the date filtering, the custom segments, visualizations, or simply the ordering of the data in your table that can help you to look at the data in a certain viewpoint and then find out the right answer to your question.

Source: HOB