Minggu, 18 Juli 2021

2nd week Intermediate Phase GIGIH Program (12-18 July 2021)

 after a long time haven't used this platform and..... 

picture [1] yes bro/sis, I'm back

So I’ve been joining the Generasi Gigih Program Held by YABB. on this second week, we got the material tutored from professionals about analyses, statistics, and analyses document


picture [2] no, not the kind of analysis that our friend in math major did

For analyses, the purpose of this section is to produce business decisions. What should we do when we are facing uncertain conditions like should we choose city A, city B, City C to penetrate our new product? our product didn’t penetrate very well, what should we do with it, leave it or push it? The analysis is used to produce solutions that solve these problems, through gathering and processing the data, so we can get insight to support business decision making. In this meeting, we got the method and plotted how to do the analysis. I still grasp the material very well


Now here another beast it is …………..(drum roll)...............................................


picture[3] yeah, but don't worry, we didn't study the whole book

    One of the tutors said that statistics is a derivation from math 1 (or calculus 1), this means I should preview the material again. I already knew and grasped a few concepts. The challenge here is to apply the statistics for business cases (which is a new thing for me). We also dig deeper on a statistical test (like p-value, t square, etc) 


picture [4] one of my lecturers say "lupa itu ngak papa, nanti belajar lagi/ that oke if you forget the material, what important is you could relearn again"

The last subject this week for Data Analytic Track is Analysis documentation. This is very useful so you can tell other people I already work and you just need to show the documentation to make other people believe it. Unfortunately, not everyone is from the same field as yours, like managers or stakeholders who understand business cases better. So you need to change your language from data analyst lingo to business owner terms and language. Like how many customers grow per month? how much the utility and maintenance cost etc. I can catch up with the essence but one of the challenges is you have to think abstract first to produce something that is relevant to the problem we are facing, like problem statements.


Wherever you work (tech-company, oil and gas, finance, etc) you gotta face raw data and you have to extract useful insight to support business decisions and action. This week's material is about analysis, statistics, and analysis documentation (which I also did while I was in college for my final project), but what distinguishes this program experience and in my university final year is that this program focuses more on tech-company business problems. The understanding of these basics can improve your business acumen and also help your company to become better.


And all of the assignments are related to business problems that are faced by tech companies like right now we are learning to document our work-study for this week. Up until now the degree of difficulty is still acceptable (not too easy and not too hard). Up until now, I still enjoy this program.



#GenerasiGIGIH
image sources :

[1]    :    https://dailysuperheroes.com/wp-content/uploads/2015/10/Or-maybe-not.png
[2]     :   https://preview.redd.it/plb5uzza1d821.jpg?auto=webp&s=c46a9f61fc033fb9f4e4dbe01ead307647e726ad

[3]    :    https://images.springer.com/sgw/books/medium/9783319461601.jpg

[4]    :    documentation meme - Google Search