The purpose of our analysis of data

It's clear.

어떤 기술을 활용하여 어떤 결론을 도출해야 우리 비즈니스의 가치를 더 높일 수 있을까?

“What kind of technology should we draw and what conclusions should we draw to further increase the value of our business?” This is to find the answer to. In an uncertain situation where we need to learn about ever-changing users, How to use data analysis to create more effective productsConcerns about continue.

As interest in data grows, there are many lectures on techniques for dealing with data. However, based on technology A deep view of the product and ways to improveLectures that teach are rare.

왜 드물까요?

▶ Why is it rare?

Because there's no formula.

Since products and business models are all different from company to company and industry, there is no uniform methodology for 'product data analysis'.

따라서, 다년 간 다양한 도메인을 경험해본 실무자에게 배우는 것이 가장 빠른 학습의 길입니다.

▶ Therefore, learning from practitioners who have experienced various domains for many years is the fastest way to learn.

Of product data analysis

Practical insights

It is a PAP that will be distributed in a concentrated manner.

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Hello, this is Product Data Analysis Community PAP.

PAP is a product data analysis community created by product analysts, data analysts, and data product owners. It is an abbreviation of Product Analytics Playground, and the intention is to create a space where people can play while comfortably talking about product data analysis.

Five business data practitioners have prepared a product data analysis class along with Class 101 to share with you the insights they have learned while running into each other.

To be able to more widely publicize the role of data that contributes to decision-making in product development,

I hope that the insight into the work we have experienced will help more people in their work.

Product data analysis

Changes that occur when applied to practice

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Product data analysis refers to the process of understanding the interaction between users and products through data. It's a framework for putting users at the heart of the business by analyzing user behavior data, identifying conversion opportunities, and creating impactful experiences.

프로덕트팀이 데이터 분석을 몰라서는 안 되는 이유

▶ Why product teams should not be aware of data analysis

product data analysis,

I know what's important

If you don't know how to learn.

How can we grow products through data?
What are the concerns of other practitioners? What kind of trial and error did you go through, and how did you solve it?
I'm not a data analyst, but what should I start by thinking about in order to make good use of data in my work?