We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for basis.
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basis Product List and Ranking from 54 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Sep 02, 2026~Sep 29, 2026
This ranking is based on the number of page views on our site.

basis Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 02, 2026~Sep 29, 2026
This ranking is based on the number of page views on our site.

  1. トゥモロー・ネット Tokyo//IT/Telecommunications
  2. homula Tokyo//software
  3. null/null
  4. 4 アプライド Fukuoka//IT/Telecommunications
  5. 4 null/null

basis Product ranking

Last Updated: Aggregation Period:Sep 02, 2026~Sep 29, 2026
This ranking is based on the number of page views on our site.

  1. Manufacturing Data Utilization Platform 'YDC SONAR'
  2. Knowledge platform for the digital thread "GHELIA AutoDeck" ギリア
  3. Generative AI system 'Qeek AI Orchestrator' トゥモロー・ネット
  4. [Information] What is SASE?
  5. 5 Real-time infrastructure that maintains control cycles even in AI-RAN mixed environments. コンカレント日本

basis Product List

91~93 item / All 93 items

Displayed results

[Use Case] necfru MAM/DAM Chemical Manufacturer

Establishment of a long-term storage foundation for irremovable quality records! A case of developing a separate storage facility from the BCP perspective.

We would like to introduce a case where a chemical manufacturer established a long-term storage foundation for SDS, analysis results, and quality records accumulated in OneDrive using "necfru MAM/DAM." As the number of quality records and SDS continued to increase, storage capacity became strained, and there were many documents that could not be deleted, making it impossible to adjust by deletion. The storage locations were divided by department, making reuse difficult, and the risk of data loss was a management issue. We designed tags based on product, lot, document type, and expiration date, and gradually migrated long-term storage targets to MAM/DAM. We finely controlled the viewing range by department through permissions and visualized costs and storage locations using HOT/COLD categorization. 【Case Overview】 - Industry: Chemical Manufacturer (Chemicals) - Challenge: Many documents could not be deleted, making it impossible to adjust by deletion, and the risk of data loss during incidents was a management issue. - Solution: Gradually migrated long-term storage targets to MAM/DAM and visualized costs and storage locations using HOT/COLD categorization. - Effects: - Search times during audits and inquiries have decreased. - Predictability of long-term storage has increased, making budgeting easier. *For more details, please download the PDF or feel free to contact us.*

  • Document and Data Management
  • basis

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The Trap of Data Silos: Disadvantages Faced by Field-Centric DX

[Free Distribution of Explanatory Materials] The Necessity of a "Common Foundation" to Prevent the Proliferation of Systems and Increase in Management Costs

If the field promotes DX without company-wide rules, it will lead to the proliferation of systems and data fragmentation (siloing). Data fragmentation makes collaboration between core systems difficult and can lead to security vulnerabilities and increased management costs. To continuously generate results, it is essential to have a system that ensures data integrity while maintaining the freedom of the field. The solution to this is the establishment of a common infrastructure that supports the "AI-Ready" transformation of data. You can learn about the design of a foundation that avoids disorderly systemization and achieves company-wide optimization through the materials provided.

  • Company:NTP
  • Price:Other
  • Other information systems
  • basis

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Data infrastructure construction: Databricks × Fivetran partnership

[Free Presentation of Explanatory Materials] Professionals Support the Latest Data Lakehouse Design and Implementation

We provide the design and implementation of a modern data stack (such as Datalakehouse) that is essential for the effective use of AI and data. As an official consulting/SI partner of Databricks and Fivetran, we support the adoption of the latest technologies. We design and compare optimal architecture patterns that meet requirements, from ETL and DWH to AI model integration. We achieve sustainable foundational operations, including the establishment of operational rules and a Center of Excellence (CoE). We are currently publishing materials on proposals for building highly efficient data infrastructure using world-standard tools.

  • Company:NTP
  • Price:Other
  • Other information systems
  • basis

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