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A Groundbreaking Collaborative Experiment for Corporate Analysis

In an era where digital transformation is revolutionizing industries, Tokyo Shoko Research (TSR), in collaboration with NTT Data and Resona Bank, is embarking on an ambitious experiment designed to streamline the analysis of corporate information within corporate sales at Resona Bank. Slated to commence in August 2025, this joint initiative aims to utilize advanced AI capabilities alongside IOWN data hub technology to automate data processing, thus elevating the efficiency of corporate information analysis.

Background of the Experiment

In today’s digital landscape, corporate information proliferates across multiple platforms, including websites, IR disclosures, social media, and news releases. Rapid growth in non-financial disclosure, particularly concerning ESG and human capital, has compounded the information overload. Consequently, corporate sales representatives at banks face the challenge of sorting through a wealth of diverse data to provide informed credit proposals and high-level management advice. Unfortunately, the exhaustive nature of this task often prevents them from dedicating adequate time to client interactions.

To address this pressing issue, TSR has joined forces with NTT Data, NTT Corporation, and Resona Bank. Together, they will explore a pioneering automatic information analysis process that blends generative AI and communication technologies.

Overview of the Experimental Procedures

The forthcoming experimental phase serves two primary goals: enhancing sales opportunities by leveraging insights from external data such as the TSR Report, and reducing workloads through automation of corporate information collection and analysis via AI agents.

Experiment Timeline:

• - Start Date: August 8, 2025
• - End Date: November 7, 2025

Key Experiment Components:

The experiment will deploy TSR’s own reports and publicly accessible information, including internet-based IR content, paired with NTT Data's innovative generative AI service, LITRON®. By employing these tools, the experiment will generate actionable management topics relevant to business challenges, facilitating their analysis in regards to customer profiles, financial evaluations, and competitive comparisons.

To ensure effective management and analysis of diverse data formats, the IOWN data hub's virtual data lake will be utilized, which offers a secure environment for vast amounts of information. The resulting business topic materials, shaped by real-world industry standards and evaluations by actual bank employees, will undergo iterative tuning improvements based on collected feedback to enhance both precision and practical application.

Roles of Main Contributors:

• - Resona Bank:

Provided Data & Technology: Corporate sales expertise / Testing environment.
Responsibilities: Evaluation of generated management topics rooted in financial challenges based on their corporate sales experience, alongside provision of a cloud testing environment.

• - NTT Data:

Provided Data & Technology: LITRON® Generative Assistant (GA) and LITRON® CORE.
Responsibilities: The LITRON GA will perform web page crawling for analysis while transforming IR data into vector data suitable for AI-driven analysis. The LITRON CORE will serve as an agent-driven platform that autonomously executes tasks related to document creation and review.

• - NTT Corporation:

Provided Data & Technology: IOWN data hub technology.
Responsibilities: Enforcing data governance and data sovereignty policies for corporate data exchange, making it possible to effectively utilize substantial and varied data sets while ensuring security.

• - Tokyo Shoko Research:

Provided Data & Technology: TSR REPORT (Domestic Company Research Reports).
Responsibilities: Delivering detailed corporate analysis derived from direct investigations and publicly available data nationwide, with over 200 detailed data points available for analysis.

In conjunction with the vector databases from both LITRON GA and TSR, further precision and quality in producing management-related sales topics will be achieved.

Future Steps

Post-experiment, there are plans to carry out real business validations within Resona Bank’s sales offices. This feedback loop will aid not only in potential full-scale implementation but may also lead to the introduction of the automated analysis service across a broader range of corporate sectors. TSR aims to continue advancing its advanced information service offerings, making data analysis automation accessible not just for financial institutions, but for various enterprises seeking to leverage their business information.

About Tokyo Shoko Research, Inc.

Tokyo Shoko Research, headquartered in Chiyoda, Tokyo, has contributed to the Japanese economy for over 130 years, operating as Japan's oldest credit research firm with a robust database exceeding 10,2 million companies. As the sole partner in Japan representing Dun & Bradstreet, it also provides global corporate information covering more than 620 million companies worldwide.
Visit TSR's official site.