We are excited to announce that FusionCharts and Yellowfin are teaming up to deliver more embedded business intelligence (BI) options to our customers. When it comes to analytics, “one size does not fit all.” The combined capabilities of FusionCharts and Yellowfin is set to provide more options to product managers, CTOs, and developers to build flexible solutions with developer-friendly licensing options.

ChatGPT’s power is astounding and even more importantly, it is growing incredibly fast. Almost every BI and analytics vendor has initiatives in this area, and while several have implemented integrations, applications are still primarily experimental. The promise is huge, but of course, there are plenty of skeptics with valid reasons. This blog highlights areas where ChatGPT can help business intelligence initiatives, and discusses areas where there may be a bit more hype than reality, for now.

When it comes to choosing a business intelligence (BI) solution vendor for your business, there are a variety of factors to consider. One important area of comparison is the natural language query (NLQ) features offered by different BI vendors. NLQ is increasingly becoming a key capability of the modern self-service analytics experience, as it allows users to ask complex questions of their data, and receive insightful answers in the form of a pre-generated, best practice data visualizations.

Yellowfin has always been driven by the belief that Business Intelligence (BI) solutions should be accessible and useful for the average business user - without the need to rely on a data analyst, or to have data analysis skills.

When it comes to analytics capability that caters to diverse data needs across the entire business, Yellowfin provides specific advantages compared to Tableau in several areas. Tableau users may find the platform can be complex, or lacking, in areas such as dashboard design, data governance, or flexibility. Thankfully, many have found Yellowfin to be a great alternative, and even complementary solution, to their analytic needs.

In this blog, the team at Yellowfin Japan demonstrates how to take advantage of Yellowfin's data visualization capability in the form of Z Charts. So, what is a Z Chart, and what does it look like?

In this blog, the team at Yellowfin Japan aimed to utilize various sets of open data and analyze them with Yellowfin, demonstrating its capabilities and the value of analyzing publicly available government data. So, what is open data, and what does it look like?

Data has historically been in the hands of a select few in most businesses - until recently. Business intelligence (BI) solutions have evolved dramatically in the last few years to not only be more sophisticated, but simpler and more accessible for regular professionals to use analytics tools and get the insights they need to make decisions.

The importance of timely and accurate IT insights is increasing rapidly in the modern era. Organizations often desire a customizable solution to meet the specific needs of their business best and increasingly want to mix data from multiple sources and match data to sales, HR, asset management and other sources in order to better understand root causes and drive better decision-making. To do so, they need a solution that is able to be flexibly tailored for all use cases.

Software testing techniques help us ensure that our software meets all the requirements. The goal of testing techniques is to find out missing requirements, gaps, and errors in comparison to the actual requirements. Finding the right testing technique can be a little challenging. These techniques help us to identify test conditions. Note that there are multiple types of testing. One example is the black box testing technique. In this process, developers test their applications through different inputs.