Leveraging Extensive Experience to Propose Data-Driven Marketing Strategies (Part 1) | Data Analyst Roundtable vol.3
As digital marketing grows in importance, Dentsu Digital Inc.'s Data & Technology Center (DTC) focuses on building foundations and developing solutions for data-driven marketing services for client companies. This work centers around the Data Clean Room (a data analysis environment provided by platform operators, enabling data analysis and operation without identifying individuals).
At DTC, data analysts play a vital role. They analyze diverse data to solve client challenges and formulate strategies. Given the growing attention on this role, Transformation SHOWCASE conducted roundtable discussions with data analysts active within the Dentsu Group to share their real insights. This article presents the third installment of the 'Data Analyst Roundtable,' featuring a discussion between four individuals who joined Dentsu Inc. DTC through career recruitment: Masahiro Fukuda, Shizuko Funaki, Makoto Nakajima, and Yuki Asada. We present their conversation in two parts. In Part 1, we explore their career paths to understand why they chose Dentsu Inc. as data analysts and what they are currently achieving.
The thrill of handling diverse data
Q. What kind of work are you involved in as data analysts? Please tell us about your current responsibilities, serving as a self-introduction.

Q. You all joined Dentsu Inc. as mid-career hires, often referred to as "career recruitment." What experiences led you to work within the Dentsu Group now? Please share your backgrounds.

Responding Swiftly to the Changing Environment Surrounding Digital Marketing
Q. Listening to your stories, a common thread is a strong desire to handle broader data beyond just your company's own. Once you joined and started working, did you feel any gaps?


DTC handles diverse data and connects it to marketing initiatives with speed. Leveraging this strength, we tackle client challenges daily. In Part 2, we'll explore the perspectives essential for Dentsu Inc. data analysts and the appeal of this role, informed by experiences across various companies.
The information published at this time is as follows.
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Author

Masahiro Fukuda
Dentsu Inc.
At a domestic IT consulting firm, engaged in various phases of client projects including core system construction and operation, as well as ERP, CRM package, and service implementation. Subsequently, after working in customer success and corporate data collection/analysis for marketing utilization at a domestic venture company offering B2B marketing services, joined Dentsu Inc. Currently, primarily leveraging experience in system construction/operation and data research/analysis, engaged in effect analysis of advertising and sales promotion measures utilizing major platform providers' Data Clean Rooms, as well as solution development.

Shinako Funaki
Dentsu Inc.
After graduating from an American university, I have consistently worked in marketing and data analysis-related roles. Following a stint at Dentsu Digital Inc., my previous position was at a credit card company, where I was responsible for data analysis-focused tasks within the department overseeing marketing strategy. I joined Dentsu Inc. in 2023. I am responsible for proposal work across data clean rooms and global expansion.

Makoto Nakashima
Dentsu Inc.
With 14 years of experience in the digital advertising industry, I have worked across a wide range of fields including media planning, sales, and DMP planning and development. Subsequently, I joined Dentsu Digital Inc. in 2022. My responsibilities include solution planning and development, focusing on areas such as geo-solutions and data clean rooms.

Yuki Asada
Dentsu Inc.
Previously worked in the database division of a newspaper company, responsible for developing economic and financial data content. Joined Dentsu Inc. in 2023. Primarily engaged in platform data analysis and development within the data cleanroom business, responsible for building data analysis environment designs and developing analytical solutions utilizing advanced data science cases, including MMM.



