Queue Begins Collaboration with NTT Data in Conversational Data Visualization AI Using Squadbase Technology
Queue Inc. announced the start of a collaboration with NTT Data Corporation to provide its AI-powered data visualization and application generation platform, Squadbase, within NTT Data's 'Data Enablement Suite™' for the data democratization domain. This partnership aims to enable business users without specialized knowledge to perform data analysis, visualization, and insight extraction through natural language, thereby advancing corporate data utilization and embedding it into daily operations.
📋 Article Processing Timeline
- 📰 Published: June 3, 2026 at 10:00
- 🔍 Collected: June 3, 2026 at 10:25 (25 min after Published)
- 🤖 AI Analyzed: June 7, 2026 at 01:41 (87h 16m after Collected)
Queue Inc. (Headquarters: Tokyo, CEO: Naoto Shibata, hereinafter 'Queue') announces that it has begun a collaboration with NTT Data Corporation (hereinafter 'NTT Data') to provide a conversational data visualization AI tool for the data democratization domain within NTT Data's 'Data Enablement Suite™', a suite of solutions that comprehensively supports corporate data utilization from conception to business application.
In this collaboration, Queue's AI-powered data visualization and application generation platform technology, Squadbase (hereinafter 'the Technology'), will be combined with NTT Data's data utilization expertise, data infrastructure construction capabilities, and implementation strength in the enterprise domain. This combination aims to support the advancement of data utilization in companies and its entrenchment in business operations.
Through this collaboration, the Technology will be applied to the data democratization domain within NTT Data's 'Data Enablement Suite™', aiming to create an environment where even business users without specialized knowledge can easily conduct hypothesis testing and make decisions based on data.
Background
The importance of data utilization in companies is increasing year by year, and many companies are introducing BI tools and dashboards. However, in actual business operations, while data visualization has progressed, there are many cases where companies face challenges in linking these results to understanding future trends or considering specific actions.
Furthermore, data analysis often requires skills such as SQL and BI tool operation, understanding of data structures, and the ability to connect analysis results to business decisions. This frequently leads to dependence on specialized data personnel or IT departments. As a result, business users on the front lines cannot utilize data when needed, causing delays in decision-making.
Against this backdrop, there is a growing need to create an environment where even non-specialist business users can analyze and visualize data through natural language, extract insights, and consider next steps.
Details of the Collaboration
In this collaboration, Queue's AI data visualization and application generation platform technology will be combined with NTT Data's data utilization expertise, data infrastructure construction capabilities, and implementation strength in the enterprise domain to support corporate data democratization.
The Technology has been developed to enable data analysis, visualization, and business application generation through natural language dialogue. Its particular strength lies in allowing even business users without specialized knowledge to build and improve data-driven dashboards and business applications.
NTT Data possesses extensive knowledge in comprehensively supporting corporate data utilization, from concept formulation and data infrastructure development to AI application, business implementation, and entrenchment.
This collaboration aims to provide an environment where business users themselves can access data via natural language, perform analysis, visualization, and insight extraction, while leveraging data assets distributed within the company.
Value Proposition
The Technology provided through this collaboration supports data aggregation, analysis, visualization, and insight extraction through natural language instructions.
This makes it easier for business users to perform analysis tasks themselves at the necessary time, tasks that previously required specialized data personnel or BI tool experts. Furthermore, it goes beyond simple dashboard-based status confirmation to support understanding future trends and considering next actions, thereby enhancing data-driven decision-making.
For example, it enables analyzing customer data for purchasing trends or churn signals to inform marketing strategies, or visualizing and analyzing equipment data for signs of failure or load fluctuations to support preventive maintenance decisions.
Additionally, by integrating with data platforms such as Snowflake, it enables conversational analysis utilizing existing data assets distributed within the company. This promotes the seamless progression from data infrastructure development to on-site utilization, helping to permeate data usage down to the operational level.
Future Developments
Queue will continue to develop the Technology and contribute to corporate data democratization and the advancement of decision-making.
Furthermore, through the collaboration with NTT Data, Queue aims to apply the Technology to diverse business domains within enterprise companies, realizing a practical data utilization environment that goes beyond mere data visualization to support business judgments and subsequent actions.
Queue will continue to strengthen product development and partnerships with partner companies to realize a world where business users can utilize data through dialogue with AI and make faster, higher-quality decisions.
Comment from NTT Data
Shotaro Motomura, Director of the Data-Driven Division, Digital Experience Business Unit, Telecom & Utility Business Headquarters, NTT Data
'NTT Data comprehensively supports corporate data utilization under its 'Data Enablement Suite™', including FDE accompaniment support, data infrastructure development, and data democratization. Through this collaboration, we believe we can further accelerate data democratization in companies by combining Queue's conversational data visualization AI technology with our data utilization expertise and enterprise implementation capabilities. By creating an environment where even non-specialist business users can more easily perform data analysis and utilization through natural language, we will support the advancement of data-driven decision-making and its entrenchment in the field. We will continue to contribute to our clients' business transformation and competitiveness enhancement by making corporate data utilization more practical and pervasive down to the operational level through our collaboration with Queue.'
About Queue Inc.
Company Name: Queue Inc.
Location: 4th Floor, Daini Toho Building, 1-22-10 Shibuya, Shibuya-ku, Tokyo
Representative: Naoto Shibata, CEO
Business: Development and provision of AI-powered application generation and data utilization technology, Squadbase
URL: https://www.squadbase.dev/en
Reference: About NTT Data's Announcement
NTT Data is fully deploying 'Data Enablement Suite™', a suite of solutions that comprehensively supports corporate data utilization from conception to business application.
For details, please see NTT Data's announcement.
https://www.nttdata.com/global/en/news/topics/2026/060200/
Contact for Media Inquiries
Queue Inc.
Public Relations
Email: contact@queue-inc.com
In this collaboration, Queue's AI-powered data visualization and application generation platform technology, Squadbase (hereinafter 'the Technology'), will be combined with NTT Data's data utilization expertise, data infrastructure construction capabilities, and implementation strength in the enterprise domain. This combination aims to support the advancement of data utilization in companies and its entrenchment in business operations.
Through this collaboration, the Technology will be applied to the data democratization domain within NTT Data's 'Data Enablement Suite™', aiming to create an environment where even business users without specialized knowledge can easily conduct hypothesis testing and make decisions based on data.
Background
The importance of data utilization in companies is increasing year by year, and many companies are introducing BI tools and dashboards. However, in actual business operations, while data visualization has progressed, there are many cases where companies face challenges in linking these results to understanding future trends or considering specific actions.
Furthermore, data analysis often requires skills such as SQL and BI tool operation, understanding of data structures, and the ability to connect analysis results to business decisions. This frequently leads to dependence on specialized data personnel or IT departments. As a result, business users on the front lines cannot utilize data when needed, causing delays in decision-making.
Against this backdrop, there is a growing need to create an environment where even non-specialist business users can analyze and visualize data through natural language, extract insights, and consider next steps.
Details of the Collaboration
In this collaboration, Queue's AI data visualization and application generation platform technology will be combined with NTT Data's data utilization expertise, data infrastructure construction capabilities, and implementation strength in the enterprise domain to support corporate data democratization.
The Technology has been developed to enable data analysis, visualization, and business application generation through natural language dialogue. Its particular strength lies in allowing even business users without specialized knowledge to build and improve data-driven dashboards and business applications.
NTT Data possesses extensive knowledge in comprehensively supporting corporate data utilization, from concept formulation and data infrastructure development to AI application, business implementation, and entrenchment.
This collaboration aims to provide an environment where business users themselves can access data via natural language, perform analysis, visualization, and insight extraction, while leveraging data assets distributed within the company.
Value Proposition
The Technology provided through this collaboration supports data aggregation, analysis, visualization, and insight extraction through natural language instructions.
This makes it easier for business users to perform analysis tasks themselves at the necessary time, tasks that previously required specialized data personnel or BI tool experts. Furthermore, it goes beyond simple dashboard-based status confirmation to support understanding future trends and considering next actions, thereby enhancing data-driven decision-making.
For example, it enables analyzing customer data for purchasing trends or churn signals to inform marketing strategies, or visualizing and analyzing equipment data for signs of failure or load fluctuations to support preventive maintenance decisions.
Additionally, by integrating with data platforms such as Snowflake, it enables conversational analysis utilizing existing data assets distributed within the company. This promotes the seamless progression from data infrastructure development to on-site utilization, helping to permeate data usage down to the operational level.
Future Developments
Queue will continue to develop the Technology and contribute to corporate data democratization and the advancement of decision-making.
Furthermore, through the collaboration with NTT Data, Queue aims to apply the Technology to diverse business domains within enterprise companies, realizing a practical data utilization environment that goes beyond mere data visualization to support business judgments and subsequent actions.
Queue will continue to strengthen product development and partnerships with partner companies to realize a world where business users can utilize data through dialogue with AI and make faster, higher-quality decisions.
Comment from NTT Data
Shotaro Motomura, Director of the Data-Driven Division, Digital Experience Business Unit, Telecom & Utility Business Headquarters, NTT Data
'NTT Data comprehensively supports corporate data utilization under its 'Data Enablement Suite™', including FDE accompaniment support, data infrastructure development, and data democratization. Through this collaboration, we believe we can further accelerate data democratization in companies by combining Queue's conversational data visualization AI technology with our data utilization expertise and enterprise implementation capabilities. By creating an environment where even non-specialist business users can more easily perform data analysis and utilization through natural language, we will support the advancement of data-driven decision-making and its entrenchment in the field. We will continue to contribute to our clients' business transformation and competitiveness enhancement by making corporate data utilization more practical and pervasive down to the operational level through our collaboration with Queue.'
About Queue Inc.
Company Name: Queue Inc.
Location: 4th Floor, Daini Toho Building, 1-22-10 Shibuya, Shibuya-ku, Tokyo
Representative: Naoto Shibata, CEO
Business: Development and provision of AI-powered application generation and data utilization technology, Squadbase
URL: https://www.squadbase.dev/en
Reference: About NTT Data's Announcement
NTT Data is fully deploying 'Data Enablement Suite™', a suite of solutions that comprehensively supports corporate data utilization from conception to business application.
For details, please see NTT Data's announcement.
https://www.nttdata.com/global/en/news/topics/2026/060200/
Contact for Media Inquiries
Queue Inc.
Public Relations
Email: contact@queue-inc.com
FAQ
When does this collaboration start?
The specific start date is not mentioned in the press release.
What databases can Squadbase integrate with?
The article mentions integration with Snowflake as an example.
Who is the contact for this collaboration?
The contact is Queue's Public Relations at contact@queue-inc.com.