Week 3 as Data Analyst on #GenerasiGIGIH

If I can make an analogy, joining #GenerasiGIGIH on Data Analyst path like human civilization vs mother nature. Let the data be "mother nature" and someone with different expertise be "human civilization". When summer is changing into winter, the early human civilization have to prepare food, haven, and warm clothes. If not, they will die because of hypothermia. Mother nature does not need to adapt to humans civilization but human have to.

I realize that I join something that different from my future goal. A few year ago, I wanted to be a product manager and here I do right now. Product manager and data analyst are two different things. But to be a data driven product manager, I have to adapt with my new "mother nature". I have to learn data terms, how to get data, and provide analysis to support decision making. 

Adaption is hard but need to be done before something bad happen. That's why I have put 90% of my effort to learn data analysis. I am not put all my effort yet because I'm still searching the easiest way to link the product management and data analysis. I want to combine two of them. Once I got the easiest way to combine them, I will put all of my effort.

If permitted, I want to ask my friend especially they who shifting from their basic knowledge, "Why do you choose Data Analyst as your path on #GenerasiGIGIH? There are many jobs that can relate to technology information, why Data Analyst?"