Data-driven decision making, here's how it's done [Monthly Datarian Seminar Replay | July 2022]

Approximately 2,600 cumulative applicants!
Check out the much-talked-about seminar through this video.

In July, we will cover practical stories of data analysis!
Monthly Datarian Seminar 🎤

Datarian's July Seminar is 🔍

Recommended for those with these concerns ✅

• The organization is not interested in data. What can I do as an analyst?
• I see the phrase 'data-driven decision making' a lot lately, and I'm curious about what it means.
• I joined as a data analyst, but the company has no data, no engineers, and no infrastructure.
• Is escaping the answer? How does a company founded by four data analysts accumulate and analyze data?
• What is the extent and potential of the scope that data-driven decision-making will influence today or in the future? I'm curious about the outlook for data analysis.

July Seminar Timeline ⏰

#Part 1 - Data-driven decision making, here's how we do it

✔ "Even the CS team can make decisions based on data"

• Speaker Moana - Securities firm CS team education coach / Currently analyzing data in a securities firm CS team after working at a travel agency.

Did you think data analysis was only for product teams? CS teams do data analysis too!

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

• Speaker Sunmi Yoon - Data Analyst with 7 years of experience / Currently working at Datarian after positions at Coupang, Hyperconnect, and Kakao.

Datarian consists of four members, all of whom are data analysts. Two of them worked in well-established data infrastructure environments at companies like Kakao, Coupang, and Ridi, while the other two started from scratch, beginning with data logging. After founding Datarian, the former two had a major realization: data doesn't just spring from the ground. In a situation without data infrastructure, what kind of data do analysts analyze and reflect in their decision-making? If you are contemplating data analysis that leads to action, if you are a startup data analyst, if you need to analyze data in an environment without infrastructure, or if you are wondering, "Can I utilize data in my own work?" then this talk is for you.

#Part 2 - Q&A

July Seminar
Participant Introduction 📖

Frequently Asked Questions Q&A 💬

If you're curious about the live participation reviews 👏

What was the most impressive part of the seminar?

• It was impressive how you shared your honest thoughts based on actual experience and how you didn't just stop at identifying the problem but actually solved it.
• It was impressive how you provided specific examples of which issues were resolved by using various metrics—such as inbound, outbound, and call duration—rather than just looking at NPS.
• The perspective on the data handled by the CS department was impressive.
• It was interesting to see that data analysis can be used effectively in CS as well.
• I liked that the reasons why the CS team became interested in data analysis and the processes for utilizing that data were realistic.
• I liked how you shared the specific paths and methods you used to acquire data while founding Datarian. It was very helpful because it made me think, "I should do it that way if I start my own business in the future," or that I could use it as a reference for decision-making.
• I am exactly the kind of solo data analyst working in a company without a proper data infrastructure, just as described in the seminar. Thank you for explaining how to cope with this sad reality. The first steps of how I should move forward have become clear.
• It was incredibly helpful that you shared your experiences in such great detail. To be honest, these kinds of early-stage mistakes are things people usually feel burdened to share, but because you shared them so candidly, this seminar has become truly meaningful and something I can apply immediately.
• I gained courage when you said, "Data analysis is no big deal! It's something we've always done. Let's just give it a try!"
• Even if the scale of the data is small and the data is unsatisfactory, let go of perfectionism and just start utilizing 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 implement the data-driven decision-making we hear so much about!
• It was impressive to learn that data analysis and decision-making should be viewed separately. I used to think that objective data alone was the definitive answer for decision-making, but through this seminar, it was striking to realize that a decision can differ from what the data suggests.
• The seminar topics addressed the actual difficulties faced in the field, which made them very relatable and helpful. Regarding the format, I liked how one person would speak and another would follow up with a summary, as it made everything much easier to understand.

A word for Datarian!

• I'm highly recommending Datarian to juniors who are currently worried about their data analysis job search. Even from a practitioner's perspective, I find the blog posts very useful for reference. I look forward to more great content in the future!
• It was an informative seminar, and I appreciated how you shared necessary materials and links right away throughout the session. Thank you so much for your hard work!
• I could feel that all four members of Datarian are truly sincere about data analysis and sharing their experiences. I look forward to what's to come. Thank you for preparing today's seminar!
• I have been consistently attending the seminars since April, and this month's seminar was truly the best! (To the point where I want to recommend it to everyone around me once the video is released on Inflearn!) As a participant, I am happy to see the seminar operations improving more and more. I am really looking forward to next month's seminar as well! I am rooting for and wishing for Datarian's continued success haha.
• I used to see ads on social media occasionally, but this was my first time participating in a seminar, and it was a truly valuable evening for the first time in a long while.
• Datarian is the best! The seminar content is always so informative and helpful. Please really keep doing them!
• Please keep writing great blog posts~ Thank you for preparing such an enjoyable time.
• Thank you for always organizing such rich and wonderful seminars!
• Please hold these seminars every month~ Even stories of small experiences are giving me the courage to move forward.
• Thank you!! I will recommend it like crazy.