Data Strategy Co., Ltd.

Data Strategy Co., Ltd. (データストラテジー株式会社 / DataStrategy Inc.) is a Japanese data analysis and consulting company headquartered in Minami-Aoyama, Minato-ku, Tokyo. Founded in May 2016 and led by representative director Motohiko Takeda, the firm positions itself as an "R&D partner that creates new value with data." Its core proposition is what it calls "Data R&D" — treating the exploratory work of generating value from data as a research and development activity, and helping clients break through the barriers they face in data utilization. The company serves three broad client groups: large enterprises, startups, and public institutions. It addresses challenges spanning planning and proposal formulation, team composition, and collaboration with data talent and partner companies. Its stated strengths include planning support, team building, and direction/management of data projects. According to its website, its members bring experience from more than 50 AI adoption and DX organization launches across large enterprises, startups, and public institutions, and it supports clients in technology selection and verification-method design based on an understanding of the business background. Data Strategy offers its services in flexible forms, including a project-based model for cases with clear challenges and goals that require significant resources, and an advisory model for clients who want to proceed flexibly during an exploratory phase. It also publishes case studies, such as work with Diva Corporation's DIVA consolidated accounting system on applying natural language processing to user support operations. The company maintains a blog on note by its representative Takeda covering AI and data science topics, and it has been recognized in public-sector contexts, including being featured in a Japan Tourism Agency case collection and receiving a Good Design Award.

Data Strategy Co., Ltd. was established in May 2016 in Tokyo, Japan, and is led by representative director Motohiko Takeda. The company built its business around the concept of "Data R&D," positioning itself as a partner that helps organizations overcome the barriers they face when trying to generate value from data. Its client base spans large enterprises, startups, and public institutions. From its early years, the firm focused on supporting AI adoption and the launch of DX (digital transformation) organizations. According to its website, its members have been involved in more than 50 such initiatives across the three client segments, giving the company experience in planning, technology selection, and verification-method design. It also developed capabilities in team composition — assembling optimal teams for technical themes and scales, including technology ventures, university laboratories, and independent engineers — and in project direction, bridging the business side and the data talent side. Over time, Data Strategy expanded its public profile. It has published case studies, including work with Diva Corporation's DIVA consolidated accounting system on applying natural language processing to user support operations. Its representative maintains a blog on note covering AI and data science. In October 2024, the company announced it had received a Good Design Award, and in May 2025 it was featured in a Japan Tourism Agency case collection. These recognitions reflect its growing visibility in both the private and public sectors in Japan.

• Company founded in Tokyo, Japan

• Researcher Kubo's serial column published in Komei Shimbun

• Received Good Design Award

• Featured in Japan Tourism Agency case collection

R&D partner that creates new value with data, targeting large enterprises, startups, and public institutions.

• Data R&D partnership

  Consulting and support services treating data value creation as R&D.

• Planning and proposal support

  Support for technology selection and verification-method design based on business understanding.

• Team composition

  Assembling optimal teams for technical themes and scales, including ventures, labs, and independent engineers.

• Direction and management

  Facilitating communication between business and data talent to maximize output.

1. 1DataStrategy Inc. official websitedatastrategy.jp
2. 2DataStrategy Inc. official website (home)datastrategy.jp
3. 3Wikidata: Data Strategy Co., Ltd.wikidata.org