Yellowfin Japan List of Products and Services

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.*

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.*

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.

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.

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.

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.

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.

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 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.

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.