Yellowfin Japan List of Products and Services

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.

• BI Tools

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.

• BI Tools

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.

• BI Tools

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.

• BI Tools

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.

• BI Tools

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.

• BI Tools

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.

• BI Tools

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.

• BI Tools

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.*

• BI Tools

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.*

• BI Tools

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.

• IoT
• BI Tools

"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.

• IoT
• BI Tools

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
• BI Tools

"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.

• IoT
• BI Tools

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.

• IoT
• BI Tools

"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.

• IoT
• BI Tools

"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.

• IoT
• BI Tools

"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.

• IoT
• BI Tools

"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.

• IoT
• BI Tools

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.

• IoT
• BI Tools

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
• BI Tools

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.

• IoT
• BI Tools

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.*

• IoT
• BI Tools

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.

• IoT
• BI Tools

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.

• IoT
• BI Tools

"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
• BI Tools

"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.

• IoT
• BI Tools

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
• BI Tools

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.*

• IoT
• BI Tools

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.

• IoT
• BI Tools

"Yellowfin" is a BI tool that can pursue not only significant changes in data but also the reasons why they occur, presenting this information to users. With an end-to-end analytics platform that encompasses all areas of analysis, including data transformation, automated insights, and collaboration tools, it is capable of covering everything from data transformation to analysis. Furthermore, with automated insights powered by machine learning algorithms, analysts can quickly respond to business challenges, while business users can explore the causes of events from the data themselves. 【Features】 ■ Produce faster and more reliable decision-making ■ Quickly consider "why it happened" and support the entire business ■ Collaborate on data science models *For more details, please download the PDF or feel free to contact us.

• IoT