BI Tools Product List and Ranking from 15 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

BI Tools Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. 芝通アドバンス Niigata//Information and Communications
  2. ウイングアーク１ｓｔ Tokyo//Information and Communications
  3. エフ・ビー・エス 本社 Tokyo//Information and Communications
  4. NTTデータNJK Tokyo//Information and Communications
  5. クロスユーアイエス 東京支社 Tokyo//Information and Communications
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BI Tools Product ranking

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. [User Development Case] Visualization of Data Using BI Tools 芝通アドバンス
  2. Report creation and BI tool 'xDB (CrossDB)' エフ・ビー・エス 本社
  3. [Data] Introduction to Data Utilization for Manufacturing DX ウイングアーク１ｓｔ
  4. BI tool 'DataNatureSmart(R)' NTTデータNJK
  5. 4 Knowledge-sharing BI tool 'DATA KNOWLEDGE' クロスユーアイエス 東京支社

BI Tools Product List

31～45 item / All 63 items

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What is OLAP analysis?

What is OLAP analysis?

Understand the differences between DWH and OLTP, and make use of BI tools! Introducing "OLAP analysis."

BI tools have multiple functions. One of these functions is called OLAP analysis (multidimensional analysis). To understand the relationship and differences with DWH and OLTP, and to utilize them effectively, this article introduces "OLAP analysis." For services related to BI tools, please download the attached document. *You can view the detailed content of the column through the related links. For more information, please feel free to contact us.

  • IoT
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Is it possible to analyze sales data with Excel?

Is it possible to analyze sales data with Excel?

Explanation of merits, demerits, utilization methods, and steps to move away from Excel!

"Is Excel sufficient for analyzing sales data?" "I would like to confirm the advantages and disadvantages of analyzing sales data with Excel." "I want to stop using Excel for sales data analysis, but what would be the best way to proceed?" In recent times, as the importance of data analysis increases, there may be instances where your company is not fully utilizing the data it has collected. Additionally, many people may feel that there are hurdles to introducing a new system for data analysis. In this article, we will introduce both the advantages and disadvantages of data analysis using Excel, a familiar tool, and then outline the steps for transitioning away from Excel for analysis. For services related to BI tools, please download the attached document. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.

  • IoT
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Explaining the importance of POS data analysis, including its types and how to utilize it!

Explaining the importance of POS data analysis, including its types and how to utilize it!

Analysis of POS data enhances corporate competitiveness! An explanation of its importance, types of analysis, and ways to utilize it!

POS stands for "Point of Sales," and it refers to the data recorded at the moment a product is sold. POS data is a collective term for various data obtained from POS systems, including product names, amounts, dates, and more. When we talk about POS systems, we mean systems that manage this information, and a POS register is a register equipped with a POS system. By utilizing these POS systems and registers, it becomes possible not only to manage data for each store but also to manage and analyze data across multiple stores. This article introduces the importance of POS data, methods of analysis, and how to utilize the analyzed data. For services related to BI tools, please download the attached materials. *You can view detailed content of the column through the related links. For more information, please feel free to contact us.

  • IoT
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Explaining important points for data analysis visualization!

Explaining important points for data analysis visualization!

An overview of data analysis visualization and an explanation of methods for how to visualize it!

Companies possess vast amounts of data related to various operations, such as customer data, products, and human resources. Until now, they have been extracting and analyzing the necessary data, but in recent years, the importance of utilizing all the vast data they hold to establish comprehensive strategies has been increasing. What has become necessary is to visualize the data they possess. This article explains the overview of data analysis visualization and the methods for how to visualize it. For services related to BI tools, please download the attached document. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.

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Benefits of Visualizing Data Using BI Tools and Recommended Free Tools

Benefits of Visualizing Data Using BI Tools and Recommended Free Tools

Introducing basic information about BI tools and recommending free BI tools that you can use!

"What does it mean to visualize data?" "What are the BI tools used for data visualization?" "What are some recommended free BI tools?" In recent years, business intelligence, abbreviated as "BI tools," has garnered attention as a tool for analyzing big data. BI tools are valuable for analyzing combinations of data that have never been seen before, helping companies identify challenges they were unaware of and guiding them toward solutions and new business developments. In this section, we will explain the basic concepts of what it means to visualize data and about BI tools, and then we will introduce some recommended free BI tools. For services related to BI tools, please download the attached document. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.

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How to utilize data analysis in the retail industry?

How to utilize data analysis in the retail industry?

How to Utilize Data Analysis in Retail? A Clear Explanation of Methods, Reasons, and Implementation Process.

The term "data analysis," which has become increasingly common in recent times, is often heard in society. At first glance, it may be difficult to immediately connect this to retail stores, but utilizing data analysis in retail stores is crucial for improving management efficiency and sales. This article explains the reasons why data is necessary in retail, the types of analysis, and the process involved. For services related to BI tools, please download the attached document. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.

  • IoT
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[User Development Case] Visualization of Data Using BI Tools

[User Development Case] Visualization of Data Using BI Tools

Improving business operations through data visualization! A web system that integrates Prizant and BI tools.

This is a development case of a system that combines the no-code/low-code development tool "Plizanter," which is open-source software (OSS), and the BI tool "Metabase." 【Customer Requirements】 - Currently operating a system to manage customer information using Plizanter. - Due to the large amount of data handled, we want to visualize data in conjunction with a BI tool. 【System Requirements】 - We want to utilize the OSS BI tool Metabase. - We want to link table additions and changes in Plizanter. - We want to analyze data segmented by time periods such as months or years. With the introduction of this system, graphs created by the information systems department for analysis can now be displayed on the Plizanter dashboard, allowing general staff to easily reference the analysis results in real-time. *For more details, please refer to the PDF document or feel free to contact us.

  • BI Tools

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BI tool 'DataNatureSmart(R)'

BI tool 'DataNatureSmart(R)'

A user-friendly BI tool for small and medium-sized enterprises in the field department.

"DataNatureSmart(R)" is a BI tool that inherits the philosophy and concept of DataNature and has been enhanced with new technology. Easily extract and analyze necessary information from core systems. The instant and flexible aggregation and analysis functions, along with an intuitive operating environment that anyone can easily handle, enable speedy decision-making and significant productivity improvements. 【Three Powers】 ■Ease of Use ■Analytical Power ■Expressive Power *For more details, please download the PDF or feel free to contact us.

  • Other Software
  • Sales promotion and sales support software

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Knowledge-sharing BI tool 'DATA KNOWLEDGE'

Knowledge-sharing BI tool 'DATA KNOWLEDGE'

A knowledge-sharing BI tool that enables data utilization for all employees.

"DATA KNOWLEDGE" is a knowledge-sharing BI tool that enables all employees to utilize data by easily extracting data from databases and performing aggregation, processing, and output operations. By sharing, utilizing, and evaluating data utilization information, a knowledge database for information utilization is constructed. As a result, users can obtain appropriate data utilization examples recommended by this product simply by performing keyword searches, and they can also carry out advanced data utilization processes that exceed their own knowledge in a short time. [Features] ■ Promotes "visualization of management" with diverse analysis reports ■ Enhances the overall analytical level of the company with analysis know-how sharing functions ■ Continuous function development over 30 years based on customer needs *For more details, please download the PDF or contact us.

  • Other Software

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BI tool 'NECTO(TM)'

BI tool 'NECTO(TM)'

BI solution to support company-wide unified analysis.

We handle the business intelligence solution 'NECTO(TM)' developed by Panorama Software, which supports social features. 'NECTO(TM)' allows users to analyze data collected on the system while sharing information and discussing it with other users, providing a wealth of materials for decision-making. 【Features】 ■ Social BI ■ Automatic generation of insights ■ Self-service BI ■ Mobile BI *For more details, please download the PDF or feel free to contact us.

  • others

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What is a BI system that you can't ask about now? Key points for implementation learned from failure cases.

What is a BI system that you can't ask about now? Key points for implementation learned from failure cases.

A column explaining key points for implementation, referencing examples of failures in BI system introduction!

A BI (business intelligence) system, also known as a BI tool, is a framework for extracting and integrating various data to provide information tailored to the specific needs of users. It can be useful for decision-making in management, or it can be used in a more concrete way, such as helping sales representatives identify which customers to approach at any given time. While there are various ways to utilize a BI system, if it is implemented or used incorrectly, it may not deliver the expected results. In this article, we will explain key points for implementing a BI system, using examples of failures in BI system implementation as a reference. *For more detailed information, please refer to the related links. Feel free to contact us for more details.*

  • CRM (Customer Relationship Management System)
  • SFA (Sales Support System)
  • BI Tools

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A must-see BI tool for manufacturing industry maintenance personnel: [MotionBoard]

A must-see BI tool for manufacturing industry maintenance personnel: [MotionBoard]

A BI tool that consolidates different information sources from Excel to big data onto a single screen and allows for real-time graphing!

Motion Board meets various data utilization needs in manufacturing sites. By centralizing data that was previously managed by each system and analyzing it from multiple perspectives, you can gain new insights that you may not have noticed before. ◆ Are you facing these challenges? ◆ ◇ Delayed understanding of the site situation, making it difficult to quickly notice problems ◇ Time-consuming process of entering handwritten daily reports into Excel for primary and secondary processing ◇ Occurrence of defective products and yield issues in the production site ◇ Difficulty in quickly detecting equipment anomalies ◇ Data management is fragmented across systems, making it hard to access necessary information promptly We solve these kinds of issues in production, inspection, and reporting operations on-site. ◆ Free trial available now ◆

  • Sales promotion and sales support software
  • Other Software

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Example: Housing Environment Manufacturer - A Usable Database for the Field 'Dr.Sum'

Example: Housing Environment Manufacturer - A Usable Database for the Field 'Dr.Sum'

One billion pieces of data can be aggregated in just one second! The information you want is readily available when you need it.

■Implementing Company Manufacturer and Seller of Living Environment Products ■Background "Since the start of operations with SAP, core data has been accumulated, but with traditional BI tools, whenever new analytical data was needed, we had to outsource the development of data extraction programs each time. In other words, we were dependent on IT vendors for creating and operating the environment for data utilization." ■Challenges - We want to make the BI tools easier to use while keeping operational costs down. - Extracting and aggregating one year’s worth of data from millions of records of six years of performance data takes about 10 minutes. - There is a need to distribute licenses for the BI tools to all employees who require them. ■Effects - Representatives from the business department learned how to create aggregation definitions in about two months and educated their respective departments. - Aggregating and extracting one year’s worth of data from millions of sales performance records takes just a few seconds. ★Over 6,100 companies have implemented this★

  • BI Tools
  • Database
  • Big Data

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Case Study: Furniture Manufacturer - A Usable Database for the Field 'Dr.Sum'

Case Study: Furniture Manufacturer - A Usable Database for the Field 'Dr.Sum'

One billion pieces of data can be aggregated in just one second! You can instantly obtain the information you want when you need it.

■Implementing Company Furniture Manufacturer ■Background We had been using multiple BI tools for many years and wanted to integrate them in the future. We needed a system that could satisfy the needs of heavy users who are accustomed to data analysis, while also allowing light users, who have had no experience with data utilization, to easily access performance data. ■Challenges - We want to consolidate multiple BI tools. - We want to broaden the base of data utilization. - We want to establish a system where performance data can be widely viewed across the company. ■Effects - Users who are not familiar with data analysis can easily utilize it. - Flexibly respond to the needs of heavy users who are accustomed to data utilization. - Drill down into the latest data with one click. - Organize and integrate BI tools. ★Implementation results: Over 6,100 companies★

  • BI Tools
  • Database
  • Big Data

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Excel Business Challenge Improvement Solution 'BI21' *Case Study Released

Excel Business Challenge Improvement Solution 'BI21' *Case Study Released

Massive Excel data aggregation at high speed. Easy centralized management of distributed data, eliminating arbitrary format changes and input errors by operators. Simple operation.

"BI21" is a BI tool that can streamline data management, aggregation, and analysis that you currently perform in Excel. By centrally managing data in a database, accurate management and sharing are possible. You can easily input and extract data and create reports while maintaining the usability of Excel. It can be utilized for various purposes, such as creating sales reports and documentation, managing and aggregating budget progress, and real-time analysis and visualization of advertising effectiveness. ■ Solving these challenges! - Significant labor is required for aggregating vast amounts of data. - Files are scattered, making it impossible to analyze comparisons with the past. - Maintenance is difficult when Excel becomes corrupted. - There are issues with unauthorized format changes by workers and copy-paste errors. - Learning to operate a new system can be challenging. *For more details, please refer to the product documentation. We are also providing materials that introduce case studies of implementation in banks, trading companies, hotels, and IT equipment maintenance businesses.

  • BI Tools
  • Budget Control System
  • Big Data

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