How Does Facebook “Creep on” Your Activities? Use Data Selfie to Find out!

I am not sure if you have the same occupational hazard like me, as a marketer. Whenever I see ads from Facebook, Instagram and Google, I always guess why they show me these ads, what kind of person I am in their “eyes” and what interests they think I have from analyzing my data with these sophisticated and almost creepy big data tools. Is it because I looked up Paris last week, then the travel agencies start to targeting at me? Is it that I looked up jobs at Glassdoor so all these ads of job searching tools start to blow up my social media? From what activity data that they get to build the customer persona of me?

While thinking of this, I found this new Google extension that gives you an approximation how Facebook collect and analyze your data. It’s called Data Selfie and it’s super awesome. Here’s my friend Lisa’s data selfie looks like:

Let’s Play with Some Data!

I talked about the steps to clean your raw data in my last blog post, now I’d like to introduce you some easy steps to conduct simple data analysis, hypothesis tests (including t-test, ANOVA, regression),  and visualization with a statistical tool, JMP.

Some of the data analysis methods can be conducted in Excel, but when it comes to a large amount of data, Excel is not capable of handling them quickly and powerfully.

If you are interested in trying JMP on your own, you can download a 30-day free trial. Also, this is a comprehensive step-by-step instruction of JMP, which is not going to cover any statistics learning materials.

4 Steps for Cleaning Your Messy Data

Data analytics, which helps with decision-making, market research, and more, is becoming an important procedure for various businesses. However, before analyzing your data, you want to make sure that your data is “ready”. In other words, you want your data to be clean, well-structured and unambiguous so that it won’t affect your next step of data analysis.