These videos for platform principles were pretty similar to the videos earlier about the 6 units of the digital analytics fundamentals. These videos again talked about what the four platform fundamentals were and dove a little deeper about each part.
1. Collection – to achieve this step you need to add Google Analytics code to your website (or other) before the closing tag in each page you want to measure. Each time the tracking code is triggered by a user’s behavior, GA tracks that activity.
2. Configuration – Google Analytics transforms the raw data from collection using the settings such as filters. GA can import data straight into your reports.
3. Processing – In this stage, Google Analytics merges all these data sources to create the reports and uses filters to exclude things that you don’t ultimately want in your report.
4. Reporting – This is your dashboard where you get to access and analyze all your data.
Going through these steps again helped me get a clearer understanding of what happens when analyzing data in Google Analytics.
A data model has three components, these are recorded by “hits”. Google Analytics can track users, sessions and interactions. These are important separators because when looking at the collected data, you can tell everything people have done on each webpage. Here is a break down of what steps GA goes through in collection
1. Users – GA tracks visitors to your website or app with a certain code and can find out things about the visitors like demographics and what browsers they use.
2. Sessions – GA can tell how long you spend on each page.
3. Interactions – GA can tell what sites you are clicking on and what you are doing on each page.
You can collect and analyze data from your mobile app however, the technology used is different for this than the technology used to build websites.
Processing and Configuration go hand in hand to transform the data that you collect into the information you see in your reports.
4 major transformations:
1. Data is organized into users and sessions
2. Imported data is joined with Google Analytics data
3. Data can be modified by the additional configurations you applied
4. Data is aggregated into tables and organized in a way that is easy to read.
I feel prepared when Google Analytics talks about the coding involved because of my previous experience. Although it was easier for me, I don’t think that it is super important to understand coding in order to understand Analytics because Google makes the data and reports easy to understand without having that previous knowledge.
To try and understand a little bit more what this program is like try reading it from perspective! I agree with him when he says that after going through this certificate and reading up on analytics, he can tell that analytics is going to change and grow very quickly!
Taking the mini exam questions at the end of each video was very helpful and so was reading over the text version after watching the video. These last two blogs are my guide to good study notes for the actual certification exam and well.. lets hope I pass!
Thanks for reading,