Designing a dashboard comprises many different considerations. Whether it's the business-user, data expert or business unit building the dashboard, our team aims to create a guide that will be useful for everyone who wants to (or needs to) create a dashboard, but is having some troubles figuring out how to do it. In this latest series of blogs, the Yellowfin Japan team takes the lead in introducing the process of creating a new dashboard in Yellowfin.

Assisted Insights is a powerful tool built-in the Yellowfin embedded analytics suite that provides organizations with automated and intuitive insights derived from their data. Using automation and machine learning capabilities, Yellowfin Assisted Insights helps users to uncover hidden patterns, trends, and correlations in their data, enabling them to make better informed and data-driven business decisions.

In this blog series, Yellowfin Chief Technology Officer (CTO) Brad Scarff breaks down some of the coolest and most unique features of the Yellowfin embedded analytics suite. What if you could automate the delivery of reports on set schedules? What if you could create save states of all your report filters and drill-downs? Yellowfin allows just that.

Multi-tenancy is almost a prerequisite to provide a secure environment for each of your customers when using business intelligence (BI) tools embedded in external services. Although it is possible to control the access rights by granting individual access to user accounts without separating tenants, it is obvious that the management will become more complicated as the number of customers grows. In a previous blog, we covered what multi-tenancy means in the context of embedded analytics.

In today's data-driven era, businesses increasingly rely on business intelligence (BI) and embedded analytics solutions to integrate data analysis into their application workflows and help more people gain valuable insights for data-driven decision-making. But with such an important, long-term business objective comes the requirement of comparing tools to get the best value.

In this blog series, Yellowfin Chief Technology Officer (CTO) Brad Scarff breaks down some of the coolest and most unique features of the Yellowfin embedded analytics suite. Despite all the new developments in business intelligence (BI) tools, such as artificial intelligence (AI), automation, and natural language query, the report is still the mainstay of information delivery in most organizations.

Multi-tenancy is a concept that refers to the ability of a software application or system to serve multiple tenants, or customers, on a shared infrastructure. In simpler terms, it is the capability of a single instance of a software application to accommodate multiple users or organizations, each with their own datasets and customization options.

Adopting a new business intelligence (BI) solution requires a thorough understanding of its feature-set and functionality in order to ensure analytics is integrated into your business as seamlessly as possible and that the value of your new tool is realized. Previously, we have covered how Yellowfin can be used with Power BI as a complementary solution.

In part one of this series, we discussed the evolution of Yellowfin’s Guided NLQ solution and focused on aspects of Guided NLQ that stand apart from the competition. In part two, we then compared Guided NLQ to Sisense's equivalent NLQ solution, Sisense Simply Ask. In part three, we will look deeper at another competitor’s NLQ offering, Microsoft Power BI and its Q&A feature.

Embedded analytics solutions have become increasingly popular in recent years, as more organizations across multiple sectors recognize the value of integrating advanced business intelligence (BI) and analytical capabilities into their existing software applications. Such solutions allow for deeper insights from data to make more informed decisions - this is well established.