Data-Driven Decision Making, Here's How We Do It [Monthly Datarian Seminar Replay | July 2022]

Cumulative number of applicants: approximately 2,600!
Watch the hotly debated seminar in video format.

In July, we'll cover practical data analysis stories!
Monthly Datalian Seminar 🎤

Datalian Seminar in July is 🔍

I recommend this to those who are having these concerns ✅

• My organization doesn't care about data. What can I do as an analyst?
• I've been seeing the term 'data-driven decision making' a lot lately, and I'm curious about what it means.
• I joined as a data analyst, but the company had no data, no engineers, and no infrastructure.
• Is escape the answer? How does a company founded by four data analysts accumulate and analyze data?
• What is the scope and potential for data-driven decision-making today or in the future? I'm curious about the future of data analytics.

July Seminar Timeline ⏰

#1 - Data-Driven Decision Making, This is How It's Done

✔ " The CS team can also make decisions based on data "

• Speaker Moana - Securities firm CS team training coach / After working at a travel agency, I now report data on the securities firm CS team.

Did you think that only product teams should do data analysis? CS teams do data analysis too!

✔ " Creating a service that grows with data without data infrastructure "

• Speaker Seonmi Yoon - 7th year data analyst / Worked at Coupang, Hyperconnect, Kakao, and now at Datalian.

Datarian consists of four members, all of whom are data analysts. Two of them worked in well-established data infrastructure environments such as Kakao, Coupang, and Ridi, and the other two started from scratch by loading data. After starting Datarian, the first two had a big realization. Data did not spring up from the ground. In a situation where there is no data infrastructure, what kind of data do data analysts analyze and reflect in decision-making? If you are thinking about data analysis that leads to action, if you are a startup data analyst, if you have to analyze data in an environment without data infrastructure, if you are thinking, 'Can I utilize data in my work?' If you are thinking about it, listen to this lecture.

#2 - Q&A

July Seminar
About the participants 📖

Expected Questions Q&A 💬

Live participation review
If you're curious 👏

What was the most impressive thing you learned during the seminar?

• What was impressive was that you honestly shared your thoughts based on real-life experiences, and that you didn't stop at the problem but went on to solve it.
• I was impressed that you gave examples of how you resolved certain issues by using various indicators such as inbound, outbound, and call time, rather than just looking at NPS.
• I was impressed by the perspective on data handled by the CS department.
• I found it interesting that data analysis can also be useful in CS.
• I liked how the CS team became interested in data analysis and how the processes for utilizing data were realistic.
• I liked the fact that you actually told me what kind of data you acquired through what route when you founded Datalian. It was very helpful because I thought that if I ever start my own business in the future, I should do it that way or use it as a reference when making decisions.
• I am a data analyst working alone in a company that does not have the data structure that was explained in the seminar. Thank you for explaining how to deal with this sad reality. The first step to moving forward has become clear.
• It was a great help that you shared your experience in such detail. In fact, these early mistakes are stories that everyone is reluctant to share, but I think it was a really meaningful seminar that I could apply right away because you shared them so honestly.
• I got courage when he said, "Data analysis is nothing special! It's what we've always done. Let's give it a try!"
• Even if the data is small and unsatisfactory, let go of perfectionism and just use it!
• I gained a lot of valuable information that will serve as future insights, such as what to do in situations where there is no data, and how to actually make the data-driven decisions that we've heard so much about!
• I was impressed by the fact that data analysis and decision-making should be viewed separately. I used to think that only objective data was the right answer for decision-making, but through this seminar, I was impressed by the fact that decision-making can be different from data.
• The seminar content was about the difficulties that people actually face in the field, and I could relate to a lot of it, so I got a lot of help from it. The way it was conducted was also good, with one person speaking and another person summarizing the comments, which made it easier to understand.

A word to Datarian!

• I'm recommending Datalian to my juniors who are thinking about getting a job in data analysis these days. As a practitioner, I find the blog posts very useful. Please continue to support me!
• It was a very informative seminar, with necessary materials and links shared here and there. Thank you for your hard work!
• I felt that all four members of Datalian were sincere in sharing their experiences with data analysis. I look forward to the future. Thank you for preparing today's seminar!
• I have been attending seminars since the April seminar, and this month's seminar was really the best! (I want to recommend the seminar video to everyone I know when it comes out on Inflearn!) I am happy as a participant that the seminar operation is improving. I am also looking forward to next month's seminar! I am cheering and hoping for Datalian's prosperity even more 😊😊
• I occasionally came across it through SNS advertisements and this was my first time attending a seminar, and it was a truly valuable evening for the first time in a long time.
• Datalian is the best! The seminar contents are always very informative and helpful. Please keep doing it!
• Please keep writing great blog posts~ Thank you for preparing such a fun time.
• Thank you for always hosting such enriching and enjoyable seminars!
• Please hold seminars every month. Even small stories of experience give me courage about the direction I should take in the future.
• Thank you!! I will recommend it without fail.