There’s no doubt in just a short period of time, ChatGPT and other large language models (LLMs) have become so immensely popular, they are now used by millions of people daily. ChatGPT’s ability to provide human-like responses and generate content has shown to be valuable to businesses and people across customer service, education, healthcare, and other industries. However, to get access to OpenAI’s powerful AI-tool, what do these businesses and people give up?

Self-service analytics, also known as self-service business intelligence (BI), means different things to different people. For some, it might just mean an interactive report which lets them drill up and down a hierarchy or maybe switch to a different metric. For others, it might mean complete freedom to access anything in the company’s data warehouse in order to generate strategic insight.

Yellowfin has been a trusted business intelligence (BI) tool for BMC Remedy users for many years, previously embedded inside Remedy under the "Smart Reporting" name. One key benefit of this long relationship is the enhanced data security that Yellowfin can offer BMC Remedy customers when accessing important business data through Remedy.

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?