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Data Science

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Data Analysis

Data Taxonomy Design Know-how You Must Know Before Implementing CRM, PA, and MMP Tools (Including Examples for 5 Industries)

This course is designed to be easily understood even by those who are new to data taxonomy. Designing a data taxonomy is essential for implementing and setting up environments for CRM marketing tools like Braze, analytics tools like Mixpanel and Amplitude, and MMP tools such as Airbridge and AppsFlyer. By taking this course, you will learn industry-standard practices and application methods, enabling you to personally build data-driven marketing automation and accurate analysis systems. This is a must-attend practical guide for any organization that works with data.

(1.7) 3 reviews

10 learners

Level Beginner

Course period 3 months

  • daejung
Digital Marketing
Digital Marketing
Braze
Braze
Amplitude
Amplitude
Digital Marketing
Digital Marketing
Braze
Braze
Amplitude
Amplitude

What you will gain after the course

  • An essential task for our service data analysis. Practical mastery of data taxonomy design.

  • From data classification principles anyone can follow to practical application!

  • Passing on methods to unify data language so the entire team can understand it at a glance!

  • Learn how to build a systematic analysis environment without data confusion.

If you miss out on designing your data taxonomy now, you will fall behind your competitors 🤔

Is the vast amount of data accumulating in your organization actually being used properly?

Companies without a data taxonomy often collect data only to interpret it incorrectly, leading to longer analysis times and misaligned collaboration; ultimately, automation, personalization, and AI are likely to remain nothing more than a "pie in the sky." Leading companies at home and abroad are already pulling ahead of their competitors through a consistent data language and framework.

We provide everything from real-world cases of 'data confusion' across departments such as marketing, CRM, and development, to industry-specific templates for e-commerce, travel, and platforms, as well as practical implementation checklists. If you want to elevate your organization's data quality and automation competitiveness through systematic data taxonomy design, now is the time to start.

Features of this course

📌 Full disclosure of the taxonomy design process used in actual business environments for utilizing Braze, Mixpanel, Amplitude, and more! You can acquire design methods that can be applied directly to your work after just one session.

📌 Includes industry-specific cases such as e-commerce, travel, and content! It’s not just vague conceptual explanations; it contains real-world examples.

📌 From data naming conventions to management systems, an A-Z full-process guide! This single lecture will eliminate your fears regarding taxonomy design.

Recommended for these people

Marketers and data analysts who have experienced confusion due to inconsistent data interpretations across different departments.

Those who have wondered at least once, "Why is my team's interpretation different from the development team's?"

Service/platform operators who are already collecting a lot of data but always find that analysis or report utilization takes a significant amount of time and cost.

Practitioners who are wondering, "Isn't there a more efficient way to manage our company's data?"

Do you feel the urgent need for data systematization but feel lost because you don't know the specific execution methods?

PMs, POs, and data professionals who always feel that the data definition documents, event mapping, and data guides required for practical work are insufficient.

After taking the course,

  • You can build a consistent data system without data duplication, omissions, or confusion.


  • You can fundamentally resolve the issue of inconsistent data interpretation within your organization.

  • You can practically apply data taxonomy design methods customized by service and industry.

  • You will gain the ability to create data definitions and guide documents that anyone can use immediately.

  • You can dramatically increase efficiency across all data-driven practical tasks, including analysis, automation, and marketing.

Recommended for
these people

Who is this course right for?

  • Those who need a unified business performance analysis system across marketing, development, and data organizations

  • Practitioners interested in data-driven marketing automation

  • A planner experiencing data consistency issues within an organization

  • Those who want to improve the accuracy and reliability of their data analysis

  • Managers who need integrated management of data from various channels

Hello
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352

Learners

22

Reviews

3

Answers

3.9

Rating

5

Courses

✍️ Knowledge Sharer Profile

Current) Delivery Platform Company A, CRM Marketer

Former) Remember, CRM Marketer

Former) Kmong, CRM Marketer

Using my experience and insights, I am working on side projects such as mentoring, corporate consulting in connection with startup incubators, and guest lecturing at universities.

  • Targeting incumbent marketers from companies such as Woowa Brothers, Hyperconnect, Ably, Pet Friends, Healing Paper (Gangnam Unni), RIDI, MyRealTrip, Saramin, SentBe, and various K League professional football clubs.

  • Ministry of Employment and Labor, Korea Chamber of Commerce and Industry, OpenKnowl, Itda, CATCH (Jinhaksa), Spec-up, Comento, Class101, TeamSparta, GrowSchool (Mobi Career Edu), Seoul Youth Center, Korea MICE Association, etc.

  • Lectured at universities including Sejong University, Myongji University, Chung-Ang University, Suwon University, Seoul Women's University, Soongsil University, Incheon National University, Hanbat National University, Baekseok University, and the Defense Institute for Career Transition Education.

  • Seoul Startup Hub Seongsu, Seoul Youth Start-up Academy, Gangnam Start-up Hub Center, Student Startup Top 300 Leap Track (General), and other early-stage startups.

    Lectured at universities and career transition centers; worked with early-stage startups at Seoul Startup Hub Seongsu, Seoul Youth Startup Academy, Gangnam Startup Hub Center, and the Student Startup Team 300 Leap Track (General), etc.

Curriculum

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3 lectures

Published: 
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Reviews

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3 reviews

1.7

3 reviews

  • yerinlena1618님의 프로필 이미지
    yerinlena1618

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    There isn't enough material!

    • xckdrb135x3589님의 프로필 이미지
      xckdrb135x3589

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      Average Rating 1.0

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      There's not enough material!

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        a010390055723550

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