1~45 item / All 46 items
Displayed results
Filter by category
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
Contact this company
Contact Us Online1~45 item / All 46 items
Filter by category

We would like to introduce a case where "Yellowfin" has been integrated into NTT TechnoCross Corporation's "ForeSight Voice Mining." The old version of the dashboard was handmade by the company and lacked flexibility, requiring program modifications for changes to meet customer requests. After evaluating the ease of adding to existing products and the simplicity of drill-down operations, "Yellowfin" was adopted. The revamped dashboard can display the number of handled cases, average handling time, and the number of call reasons, and it has also become possible to quantify the quality of operator responses and display it in graphs. 【Case Overview】 ■ Implementing Company: NTT TechnoCross Corporation ■ Implemented Product: Yellowfin (Embedded BI) ■ System Implemented In: "ForeSight Voice Mining" ■ Challenges: Lack of flexibility in the old dashboard and customization costs ■ Effects: Visualization of operational status and response quality, supporting efficient operation of home-based call centers *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case where Revise Inc. incorporated "Yellowfin" to build the used car dealer service "Mobicon." The company adopted "Yellowfin" due to its high compatibility with web services, user-friendly GUI, and attractive appearance. The ease of integration has also improved with the JavaScript API of version 9. By using "Mobicon," it has become possible to focus promotions on high-quality customers, reducing after-sales promotion costs by 30-40%. This has also led to increased productivity. 【Case Overview】 ■ Implementing Company: Revise Inc. ■ Implemented Product: Yellowfin (Embedded BI) ■ Built System: Used Car Dealer Service "Mobicon" ■ Challenge: Data integration management and CRM promotion in the used car industry ■ Effect: 30-40% reduction in promotion costs, increased productivity *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case where NexTone Inc. implemented "Yellowfin" and built the copyright royalty analysis tool "croass." Previously, the company provided usage details of copyrighted works in PDF or CSV text data formats. However, they wanted to create a platform that made the data intuitively easy to view, so they evaluated screen design, usability, and functional added value, ultimately selecting "Yellowfin." With "croass," users can drill down into the details of royalties with just one click, and they can also check sorting by artist and video site view rankings. Users have praised it as "very easy to understand." 【Case Overview】 ■ Implementing Company: NexTone Inc. ■ Implemented Product: Yellowfin (Embedded BI) ■ Built System: Copyright Royalty Analysis Tool "croass" ■ Challenge: There was a lot of detailed data, making it difficult to get an overall view. ■ Effect: The dashboard made the details of copyright royalties easier to view. *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case study of the implementation of "Yellowfin" in the nursing and caregiving record system "Sanabi" of Benesse Style Care Co., Ltd. The company has adopted the embedded features of "Yellowfin" to utilize the data recorded daily by approximately 10,000 field staff. They position the BI tool not just for specific specialized departments but as a feedback tool for the field. Without developing from scratch as in the past, end users can now create and embed content themselves, allowing for flexible and rapid responses to various environmental changes and requests. 【Case Overview】 ■ Implementing Company: Benesse Style Care Co., Ltd. ■ Product Implemented: Yellowfin (Embedded BI) ■ System Implemented: Nursing and Caregiving Record System "Sanabi" ■ Reason for Selection: The ability to provide feedback to the field through embedded features ■ Future Outlook: Promotion of caregiving DX through collaboration with AI and sensor data (IoT) *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case study where "Yellowfin" was integrated into the IT system information management/performance monitoring tool "System Answer G3" of IBC Corporation. The company faced challenges with report creation using Excel macros and adopted "Yellowfin" due to its compatibility with PostgreSQL and user-friendly GUI. They developed an automated report creation tool called "Stats Option." In one case, the time taken to create monthly reports was reduced from 1,632 hours per year to 96 hours, allowing operational managers to allocate more time to identifying and addressing issues. 【Case Overview】 ■ Implementing Company: IBC Corporation ■ Implemented Product: Yellowfin (Embedded BI) ■ System Implemented: "System Answer G3" ■ Challenge: Cost and quality variability in report creation using Excel macros ■ Effect: Reduced report creation time to one-seventeenth *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case where "Yellowfin" was integrated into the core hall management system "Compass" of ITC Corporation, equipping it with BI functionality. The ability to customize a server license contract to fit the desired licensing structure of the company, along with reduced costs compared to previous considerations, was the deciding factor for adoption. After implementation, Excel reports that previously took 1 to 2 weeks to create are now generated automatically. Additionally, minor modifications can now be handled by the corporate personnel in charge, improving operational efficiency. 【Case Overview】 ■ Implementing Company: ITC Corporation ■ Implemented Product: Yellowfin (Embedded BI) ■ System Implemented: Core hall management system "Compass" ■ Challenge: In-house development of BI functionality incurs high development costs and timelines ■ Effect: Automatic generation of Excel reports and the ability for corporate personnel to make modifications *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This is a case where "Yellowfin" was introduced to the production site of Denso Ten, achieving the visualization of manufacturing equipment data. The company had built a system to accumulate the vast amount of data output from each manufacturing device, but utilizing that data for business improvement was not progressing well. After the introduction, thresholds were set for each manufacturing process, and monitoring was conducted with "Yellowfin." By performing maintenance on the equipment before abnormalities occurred, they were able to prevent line stoppages in advance, contributing to improvements in productivity and quality. [Case Overview (Partial)] ■ Implementing Company: Denso Ten, Inc. ■ Challenge: Lack of easy means to view the accumulated vast data ■ Selection Reason: Standard alert function, ease of use, quick response from support ■ Effect: Prevention of line stoppages, improvement in productivity and quality, prevention of setting errors *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case where "Yellowfin" was implemented as a tool to refresh the DWH and BI systems at Nihon Shurui Hanbai Co., Ltd. The company was utilizing BI tools in almost all departments, but due to the aging of the system and performance degradation over the years, it took a considerable amount of time to extract and search for data. After the new system went live, analyses that previously took between 1 hour to 4 hours with the existing system were completed in just 1 to 2 minutes. The reduction in data extraction time significantly improved employee productivity. [Case Overview] ■ Implementing Company: Nihon Shurui Hanbai Co., Ltd. ■ Challenges: Aging of the system and performance degradation over the years ■ Selection Reason: Low implementation cost with CPU licensing, enterprise-ready, proven performance with Amazon Redshift ■ Effects: Significant reduction in time required for data extraction and search *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case where Mitsui Sumitomo DS Asset Management Co., Ltd. implemented "Yellowfin" to achieve centralized data management. Since the company was established through the merger of five firms, centralized data management had not progressed, making it difficult to understand where and what kind of data existed. A data management committee was established, and data modeling tools were considered. With the introduction of "Yellowfin," it became possible to view information related to investment trusts from a dashboard, eliminating the hassle of searching for data and improving operational efficiency. [Case Overview] ■ Implementing Company: Mitsui Sumitomo DS Asset Management Co., Ltd. ■ Challenge: Centralized data management had not progressed, making it difficult to understand where and what kind of data existed. ■ Reason for Selection: The ability to model and manage data at a low cost. ■ Effect: Reduction in the effort required to search for data and promotion of data reuse. *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case study of report output using the integration of "Yellowfin" and "JasperReports" at ValueCommerce Co., Ltd. The company was using Excel and macros to create reports with layouts specific to each customer, but as the number of target customers increased, the limitations of managing with macros became apparent. They built a system to output reports using "Yellowfin," which is integrated with "JasperReports," allowing for dedicated reports for each customer to be generated with flexible layouts. [Case Overview] ■ Implementing Company: ValueCommerce Co., Ltd. ■ Challenge: Managing report templates for each customer with Excel and macros, facing limitations due to the increase in target customers ■ Solution: Report output through the integration of JasperReports and Yellowfin ■ Effect: Achieved reporting with flexible layouts *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case study where ValueCommerce Co., Ltd. implemented "Yellowfin" to achieve data utilization across the company. To improve the situation where management could not easily grasp figures such as sales, the company decided to introduce a BI tool. They chose "Yellowfin" for its 100% web-based nature and simple interface. Since its rollout in 2017, it has enabled easy comparison of multiple advertising media performance. A culture of discussing data through "Yellowfin" has taken root, leading to increased efficiency and productivity. 【Case Overview】 ■ Implementing Company: ValueCommerce Co., Ltd. ■ Challenge: Management could not view the desired figures immediately. ■ Selection Reason: 100% web-based and simple interface. ■ Effect: Real-time figure verification and cross-comparison of advertising media performance. *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This is a case where NTT Docomo, Inc. implemented "Yellowfin" in their Smart Life business, achieving an increase in the active rate of digital content. The company was using the statistical analysis software "R" to analyze web access logs for their digital content services, such as "Sugodoku Content" and "d Anime Store," but faced a shortage of machine power due to a rapid increase in data volume. After implementation, they utilized dashboards to daily check the effectiveness of campaigns and the reputation of content, leading to service improvements. The number of users canceling their subscriptions decreased, and the active rate significantly increased. [Case Overview] - Implementing Company: NTT Docomo, Inc. - Challenges: Insufficient machine power due to a rapid increase in data volume, time-consuming data organization issues. - Deciding Factors for Implementation: Low entry barrier for intuitive use, support for connection to Amazon Redshift. - Effects: Significant increase in user active rates. *For more details, please download the PDF or feel free to contact us.*
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We would like to introduce a case where PRECO Foods Co., Ltd. implemented "InfoCabina Yellowfin Cloud" and achieved improvements in the churn rate of existing customers. The company faced the challenge of losing existing customers, which account for the majority of their sales, and was considering building an information analysis platform to utilize the big data accumulated in their core system. After implementation, not only did they receive a list of customers to address with the push of a button, but they also established a system that automatically raises alerts for customers at risk of being lost. This led to a reduction in customer churn rate and resulted in tangible achievements. [Case Overview] ■ Implementing Company: PRECO Foods Co., Ltd. ■ Challenge: Improvement of churn rate for existing customers, which account for 90% of sales ■ Selection Reason: A cloud service that can be used by the user department and can be implemented without initial costs ■ Effect: Significant increase in the number of customer interactions and improvement in sales levels *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This is a case study of the implementation of "Yellowfin" at Keio Department Store Co., Ltd., which achieved the digitization of reports accompanying the renewal of its core system. The company renewed its core system, which had been in use for about 40 years, in 2019. It established the "Keio Department Store Data Lake (KDSDL)" as a data utilization platform for approximately 800 employees and integrated it with BI tools. With the visualization of KPIs, each employee is gradually shifting towards data-driven thinking, and it has become as prevalent as Word and Excel. 【Case Overview】 ■ Implementing Company: Keio Department Store Co., Ltd. ■ Challenge: Digitization of approximately 800 types of paper reports ■ Reason for Selection: The feeling that reports could be created that anyone could easily use, and the ability to internalize it with no-code/low-code solutions ■ Effect: Employees are shifting towards data-driven thinking *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This is a case where TD Mobile Co., Ltd. implemented "Yellowfin," achieving in-depth analysis of carrier fees and improved accuracy in accounting. The company faced challenges due to the aging and obsolescence of its core business systems, including the need for a mechanism to analyze carrier fees, the realization of monthly confirmed accounting, and the automation of invoice creation for clients. After implementation, the automatic generation of invoices for clients was realized. The workdays that previously took about 10 business days each month were significantly reduced to around 2 business days, greatly contributing to the reduction of the burden on administrative staff. [Case Overview] ■ Implementing Company: TD Mobile Co., Ltd. ■ Challenges: Complexity of carrier fees, accuracy of accounting, and reliance on specific individuals for invoice creation ■ Deciding Factors for Implementation: A system that meets our requirements and intuitive usability ■ Effects: Realization of automatic invoice generation and significant reduction in work hours *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This guide, created from Yellowfin's extensive experience, details the steps to integrate and launch your unique analytics application. Adding analytics that brings new performance insights, enhances customer satisfaction, and drives revenue growth to existing products is one of the most beneficial improvements that can be achieved in business. It is a valuable read, so please take a look. 【Contents (partial)】 ■ Introduction ■ What is Embedded Analytics? ■ Section 1: Preparing for Success ■ Section 1.2: Building a Team that Drives Success ■ Section 1.3: Bridging Technical Gaps ■ Section 1.4: Designing for Product/Business Audience *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
BI tools have evolved over a long history with the aim of expanding the base of data analysis. However, the reality is that penetration among business users has not progressed much. The current mainstream idea in the BI tool industry is to enhance data literacy, but Yellowfin Japan Co., Ltd. advocates that we should instead make it easier and more accessible to handle data. This document will focus on the noteworthy new features incorporated by Yellowfin and examine the company's approach. [Contents] ■ Why are there not more business users utilizing BI tools? ■ What is "guided natural language query," which allows anyone to easily utilize data? ■ Complex comparative analyses, such as sales differences by period or category, can be easily conducted. ■ Solutions for data analysis challenges in a variety of scenarios. *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This document analyzes case studies of companies that have incorporated the BI tool "Yellowfin" into their own products and services, summarizing the commonalities and success patterns. By extracting the essence of success from examples of SaaS and packaged products that have integrated BI functions to establish a competitive advantage, we will introduce specific implementation strategies. This document will explain in detail why "embedded BI" is gaining attention now, and what actual results it is producing through advanced embedded BI case studies. [Contents (partial)] ■ Introduction ■ Challenges faced by SaaS and package vendors ■ Why "embedded BI" instead of "development" ■ Results of embedded BI implementation ■ Five insights that accompany success *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This white paper guide explains the meaning of "self-service" as defined in the context of business intelligence solutions, helping to understand its differences, purposes, and advantages. It also introduces the many benefits that self-service brings to analytics users, as well as considerations that enterprises and small to medium-sized businesses should address before reaping the benefits of this new BI model. If you are not very familiar with self-service analytics, please start reading from the beginning. Alternatively, you may also choose to read from the areas that interest you. [Contents] ■ Overview of Self-Service Analytics ■ What is Self-Service Analytics? ■ Traditional BI vs. Self-Service Analytics ■ Why Self-Service Analytics is Important ■ Five Steps to Prepare for Enterprise Self-Service Analytics ■ Getting Started with Self-Service Analytics *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
In BI, data visualization is essential for decision-makers to analyze, share, and utilize data, leading to improvements in business performance. However, to make the most of charts, graphs, and heat maps, it is necessary to follow best practices and deploy visualizations with a consistent strategy. This free white paper introduces three steps: "Choosing the Right Chart Type," "Optimizing Charts," and "Sharing Insights." [Contents (partial)] ■ Best Practices for Data Visualization: Overview ■ Best Practice #1 for Data Visualization: Choosing the Right Chart Type ■ Best Practice #2 for Data Visualization: How to Standardize Styles *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This document analyzes case studies from the internal implementation of the BI tool "Yellowfin" across ten diverse industries, including telecommunications, retail, manufacturing, and finance, extracting common patterns and important insights that led to success. Many companies are considering the introduction of BI tools as part of their DX promotion efforts, but practical knowledge is needed on questions such as "How can we ensure successful implementation?" and "What can we do to avoid failure?" This document presents specific and practical insights derived from actual success stories, including "five common success factors," "a phased implementation approach," "dramatic quantitative effects," and "organizational culture transformation." It serves as a guidebook for those considering or advancing the implementation of BI tools. [Contents] ■ Introduction ■ Survey Overview ■ Typical Challenges Before Implementation ■ Implementation Approaches of Successful Companies ■ Five Factors of Success ■ Implementation Results (Quantitative Effects) *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
Dashboards already convey very complex scenarios in many cases. With multiple data visualizations, metrics, dimensions, scales, explanations, colors, and more, users can incorporate a lot of elements. Therefore, it is important for dashboard designers to guide and simplify the end-user experience to make the displayed content as easy to interpret as possible. This guide introduces best practices for dashboard design and helps you provide personalized interactive dashboards that delight users. [Contents (partial)] ■ Top 10 Best Practices for BI Dashboards ■ Purpose ■ Summary ■ Relevance ■ Functionality ■ Visuals *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
This document explains the integration of AI-enabled analytics into applications. It describes how to effectively utilize advanced AI technology to enhance the analytics of existing software platforms. Additionally, it discusses the factors to consider when selecting an analytics platform and incorporating this technology into existing applications. [Contents] ■ Executive Summary ■ What AI-enabled analytics means for customers ■ How to leverage AI-enabled analytics in existing applications ■ Three questions to consider before selecting an analytics platform ■ Bringing this new AI-enabled technology to market ■ Conclusion *For more details, please download the PDF or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
Let's bridge the gap with existing reporting capabilities. By integrating sophisticated interactive dashboards and ad-hoc reports into existing applications, we can create new revenue streams and enhance customer satisfaction with pixel-perfect white-label analytics seamlessly integrated into the user experience. In today's environment, customers demand more from the software they use, such as easy and quick access to data. With a unique pricing model, no-name branding strategy, and a simple integration process, Yellowfin can meet customer needs. Become a partner with Yellowfin and stand out from the competition. From beautiful dashboards to user-friendly self-service reporting features, Yellowfin has everything needed to provide analytics as part of your customers' applications. *For more details, please refer to the attached PDF document. For further information, feel free to download the PDF or contact us.*
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
We simplify the entire analytics workflow, allowing business users to seamlessly manipulate data within existing applications and workflows. With its flexibility and wide range of features, Yellowfin has become a market-leading analytics and business intelligence (BI) platform that meets the needs of advanced business users. While traditional BI tools have provided little value to businesses, Yellowfin offers all the tools necessary to drive transformative value. By bringing together action-based dashboards, automated discovery, and data storytelling into one integrated platform, we enable users to engage with data and create new ways to take action. *For more details, please refer to the attached PDF document. For further information, feel free to download the PDF or contact us.*
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
The utilization of data is progressing in various business operations. Initially, Excel was used for data analysis, but many companies have started to feel the limitations in performance and convenience, leading them to consider the introduction of BI tools. When selecting a BI tool, it is important to consider the perspectives of the users in the business departments that will actually use it, as well as the requirements from the standpoint of the system administrators who will provide the system. This document introduces the checkpoints to consider when implementing BI tools and tips to avoid failures. Please feel free to download and take a look. 【Contents】 ■ Limitations of data analysis using Excel: BI that is also beneficial for system administrators ■ Six perspectives that system administrators should focus on when selecting BI ■ Elements of support necessary for addressing issues when they arise ■ Advice on BI implementation: Tips to avoid failures *For more details, please refer to the PDF document or feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"I want to know more about inventory analysis." "I want to know how to incorporate inventory analysis into management strategies." "Are there benefits and tools for conducting inventory analysis?" By conducting inventory analysis and understanding the necessary inventory for our company, we can achieve appropriate inventory management. At the same time, by continuously utilizing the analysis, we can ultimately leverage it for our management strategies. This article introduces the basics of inventory analysis, the types of analysis, the benefits of conducting such analysis, and suitable tools for inventory analysis. If you are a representative of a company that is going to focus on inventory analysis, please take a look. 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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"I want to know more about the analysis of sales trends." "I want to know how to analyze sales trends and incorporate them into management strategies." "Are there benefits and tools for analyzing sales trends?" By analyzing sales trends and continuously incorporating the accumulated analysis results into daily operations, the outcomes can be utilized in management strategies. In the coming era, it will not only be about the three types of management strategies: "marketing strategy," "sales strategy," and "intellectual property strategy," but also the addition of "data strategy," making it crucial to develop strategies based on clearer information. This article explains the purposes, benefits, methods, and specific tools for analyzing sales trends, aimed at those responsible in companies that will focus on this analysis moving forward. Please download the attached document for services related to BI tools. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
To achieve digital transformation (DX), utilizing data for customer experiences and optimizing business processes has become a management challenge for many companies. By leveraging previously unused unstructured data such as voice, text, and images, it has become possible to create unprecedented business models. This article explains the methods of data analysis that can lead to successful digital transformation (DX). 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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"What does it mean to analyze data with BI tools?" "Can Excel replace BI tools?" "Is it possible to continue using BI tools for free?" With the spread of big data, attention is being drawn to BI tools necessary for analyzing big data. Can big data only be analyzed with BI tools? Is it possible to substitute them with Excel? This article explains the basics of data analysis using BI tools, including the advantages and disadvantages of implementing free BI tools, as well as considerations when switching from free BI tools to paid ones. For services related to BI tools, please download the attached materials. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"What does it mean to visualize data?" "I want to know effective methods for visualizing data." "I want to know free tools that can visualize data." In recent years, there has been growing attention on a method called data-driven decision-making, which involves making management decisions based on data analysis. By utilizing big data and making management decisions based on numerical data, it has become possible to make quick and accurate predictions. When utilizing big data, there are BI tools available as data analysis tools. BI tools, short for Business Intelligence tools, are tools that combine numerical data, analyze it instantly, and process it into a format that is easy for anyone to understand. This article introduces methods for visualizing data, the benefits of visualizing data using BI tools, and finally, free tools that can be used. 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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"I want to incorporate data analysis, but which method is best?" "I am familiar with Excel, but can I also use Excel for data analysis?" "Which is more suitable for data analysis, Excel or BI tools?" In recent years, data analysis has been incorporated into management methods known as data-driven approaches. However, there may be company representatives who are struggling to decide whether Excel is sufficient for this purpose, or if they should introduce a BI tool, and whether a free option is adequate or if a paid one is necessary. This article explains whether data analysis can be performed using Excel, and if opting for a BI tool instead of Excel, what criteria should be used to determine whether a free or paid option is better. 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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
Data analysis has become increasingly important in human resources. It involves various HR-related matters such as optimizing personnel allocation, improving turnover rates, and reviewing HR systems. Let's back up the HR tasks that have been done based on intuition with data, and carry out better HR operations in a more logical manner. In this article, we will introduce "What data analysis in HR means," as well as "The purposes of conducting data analysis in HR" and "Key points of HR data analysis." For services related to BI tools, please download the attached document. *You can view detailed content of the column through the related links. For more information, feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
In the modern digital transformation, data analysis is becoming increasingly important for businesses. With the advent of IoT and other technologies, behaviors in the real world can now be recorded as data. This has led to a growing number of situations where insights that were previously unattainable can be gained, and predictions for the future can be made. This article introduces the necessary concepts and key points of data analysis in manufacturing settings. 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.*
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
Whether you are an analyst or a business user, by using Yellowfin Stories, you can easily create and share data-driven narratives, providing your colleagues with insightful context to prompt action and foster a data-driven culture. This article clearly explains the topic of data storytelling and helps various types of analytics users understand its usefulness. For services related to BI tools, please download the attached materials. *You can view the detailed content of the column through the related links. For more information, feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
While the AI and automation features of augmented analytics dominate the current business intelligence (BI) conversation, data storytelling is rapidly becoming an important topic, and the combination of the two aims to reshape the future of BI. In this article, we will introduce "business cases for augmented and automated data storytelling" and "the purpose of automating and augmenting data-driven stories." We will explain the topic of data storytelling in an easy-to-understand manner, helping various types of analytics users grasp its usefulness. For services related to BI tools, please download the attached materials. *For more details on the column, you can view it through the related links. For further inquiries, please feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
"What exactly is a BI solution?" "What features does a BI solution have?" "I want to understand the advantages and disadvantages of BI solutions." Even if you know the term BI solution, many people may not understand what it specifically entails. In this article, Yellowfin, which offers BI solutions adopted by numerous companies globally, provides a thorough explanation of BI solutions. 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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
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.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
BI tools are tools that analyze various data held by companies to leverage it for business purposes. Their functions are diverse, and each manufacturer has its own characteristics and strengths, making it difficult to decide which one to choose. First, clarify the purpose and needs for introducing a BI tool, and compare which manufacturer's product matches best. In this article, we introduce the features of Yellowfin, which has been implemented in over 29,000 companies across more than 50 countries, supporting business efficiency and automation. 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, feel free to contact us.*
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration
By utilizing BI tools, there are many benefits such as improved operational efficiency and quicker management decisions. To achieve this, it is necessary to understand the basic functions, comparison methods, and advantages. This article introduces the comparison points necessary when proceeding with the selection of BI tools. Please download the attached document for services related to BI tools. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.
Added to bookmarks
Bookmarks listBookmark has been removed
Bookmarks listYou can't add any more bookmarks
By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.
Free membership registration