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Welcome to the latest entry in Yellowfin Japan’s long-running ‘How to?’ blog series. This series of blogs aims to provide a step-by-step guide of how to get the most out of your Yellowfin BI experience, such as how to create your own Yellowfin dashboards. Catch up on the series below.

Microsoft Power BI has historically been the default choice for organizations looking to visualize data and generate reports. It’s a capable tool, and no one disputes that. But as businesses scale, especially those embedding analytics into their own software applications, Power BI’s limitations start to show. At some point companies feel the need to reevaluate their business intelligence (BI) strategy, not because the tools they use are "bad," but because their data needs have evolved.

Microsoft Power BI has historically been the default choice for organizations looking to visualize data and generate reports. It’s a capable tool, and no one disputes that. But as businesses scale, especially those embedding analytics into their own software applications, Power BI’s limitations start to show. At some point companies feel the need to reevaluate their business intelligence (BI) strategy, not because the tools they use are "bad," but because their data needs have evolved.

Microsoft Power BI is a ubiquitous business intelligence (BI) solution entry point that can create a good foundation for analytics capabilities at any company. Its Power BI Embedded tier allows for embedding data visualizations, dashboards and reports into your applications, while using the broader Microsoft Azure Cloud infrastructure. The key challenges Power BI Embedded presents, however, is complexity.

Welcome to the latest entry in Yellowfin Japan’s long-running ‘How to?’ blog series. This series of blogs aims to provide a step-by-step guide of how to get the most out of your Yellowfin BI experience, such as how to create your own Yellowfin dashboard, and how to use Yellowfin's rich data visualization tools. Catch up on the series below.

The retail industry is constantly evolving, and so is the way that businesses use BI tools. Retail business intelligence (BI) dashboards are now more important than ever, as they allow businesses to monitor their operations in a more comprehensive way. In this article, we explore the benefits of using dashboard software in the retail industry, and discuss some of the ways in which they are transforming how it operates.

Dashboards and reports are two common terms used interchangeably in discussions around business intelligence (BI) and data analytics platforms. Both are analysis tools used to present operational information graphically, provide visibility into organizational performance, and enable informed decision-making based on hard-tracked metrics. But what is the actual difference between BI dashboards vs a report?

As part of our series on natural language query (NLQ), this blog details 5 benefits of using Guided NLQ, and how it differs from search-based NLQ to bring true self-service BI. Many analytics vendors today offer search-based NLQ tools. To explore data and find insights, you must use free text, but you also have to know what, or how to pose a query. The problem here is obvious: There is no guidance on what to ask your data, or how you can use the tool to ask questions and get helpful answers.

Data visualization is one of the most important capabilities of any business intelligence (BI) and analytics solution. It helps people translate complex data into a visual context, like a chart or a graph, identify trends numbers alone can't easily reveal, and discover hidden patterns in your dashboard. Data visualization also provides a wealth of additional benefits for data analysis, such as enabling easier understanding of the correlation between operations and results.

Business intelligence (BI) dashboards, also known as BI dashboards, are a powerful way to help people collect, share and analyze their business data to make informed decisions. Business dashboard software can help users monitor operations, optimize processes, and improve overall business performance by having data readily available, and can also help detect and prevent potential problems before they become issues with its use of real time data.