From ancient Greek myths of talking statues to the modern-day Alexa and Siri, the concept of machines capable of understanding and responding to human language has captivated us for centuries. In recent years, this concept has evolved into AI chatbots, highly sophisticated tools that can read our queries and perform tasks ranging from customer service to automated alerts.

In today’s fast-paced digital environment, delivering value quickly is critical to staying competitive and gaining buy-in from both stakeholders and customers. One of the key enablers of this rapid value delivery is embedded analytics, a business solution that allows you to integrate interactive data visualizations and business intelligence (BI) features directly into your existing applications.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.

Choosing the right business intelligence (BI) solution is pivotal for independent software vendors (ISVs) and enterprise organizations aiming for data-driven decision-making. But with so many preferences and use cases to account for, certain considerations can, initially, get overlooked. Centralized business intelligence (BI) is one such topic that requires careful preparation to achieve a nuanced understanding.

Have you ever struggled to make the value of your data clear to your audience? Numbers and charts are great, but on their own, they often lack the power to inspire your audience to care and act. People also find it hard to understand the results from metrics alone. Conveying the importance of your data, and translating what it means (and why your audience should care) thus requires more context. That's where Stories comes in.

Yellowfin 9.13 is a significant release that introduces a number of security updates, quality improvements and product enhancements, as requested by our customers. In this blog, we will cover some of the biggest highlights in the 9.13 release. For the full list of updates, please visit our release notes page.

Effectively communicating insights derived from data is a cornerstone of successful decision-making in today's landscape. Yet, many businesses struggle to translate complex analytics into compelling narratives that resonate with diverse audiences. The ability to create engaging and informative presentations directly from data is a critical requirement for modern embedded analytics platforms.

A very common request we get from analytics users across all industries is the ability to export dashboard and analytic content to external files for collaboration and sharing. Whether the requirement is to export to PDF or export to XLS, exporting dashboard content to another popular media format remains an expected and important feature of modern business intelligence (BI). However, many analytics vendors lack options in exporting content, limiting the ability to share reports with non-analytics users.

Whether you’re an analyst or non-technical, Yellowfin Stories and Present, our exclusive data storytelling features, make it easy to create and share data-led narratives with peers that provide insightful context, inspires action, and fosters a data-driven culture. Now, it’s no secret Yellowfin have been big believers of data storytelling since day one.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In our previous blog, we created a heat grid by aggregating on the basis of Day of Week and Time of Day. By sorting the axes of the chart, we were able to create an easy-to-read chart lined up from Sunday to Saturday and from 0:00 to 23:00.