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Data visualization tools are dedicated software applications or components of a business intelligence (BI) solution that visually render data and present information through various formats, like graphs, charts, or heat maps - and an important parts of analytics today. The best data visualization tools are those that provide a diverse range of visualization options that represent complex data across multiple use cases, and help end-users easily analyze it.

Analytics and data visualization are essential parts of modern business intelligence (BI). These tools help you better understand your business and improve overall decision-making. However, as your data grows and your users' analysis needs evolve, it may be time to upgrade your visualization solution to achieve better capability and reporting.

Welcome to our Yellowfin Customer User Group Event event recap for August 2022! Following our latest quarterly webinar, held August 9 -11, the Yellowfin team aims to provide a quick and handy summary blog for our customers that could not attend. Here, you can find a general update on the future product roadmap of the Yellowfin embedded analytics product suite, including Version 9.8, coming this September.

It's common knowledge today that business intelligence (BI) dashboards are powerful tools that can help you track and analyze your business performance, identify trends and patterns, and make better decisions based on data, not gut feeling. There several benefits to using a business intelligence dashboard, and it can have a big impact on your business.

Data visualization involves visually imparting information to communicate complex data. Graphics such as charts help simplify data so more people can understand the insights embedded within a dashboard or report. Businesses use data visualizations to find and highlight patterns and trends in big data sets, with many data visualization examples available today, including graphs, maps and plots to help others grasp data conveniently.

Enterprise organizations with complex datasets, need to find ways to make their data more accessible and usable. One way to do this is through data visualization, which can help provide reporting that makes data more understandable and actionable. While the bare minimum requirement for data visualization BI software is good data visualization capability, there are more specific features that are often needed.

Editor's Note: This post was originally published in November 2010, and has been updated in 2022 for comprehensiveness, with 6 additional key BI features added. Different organizations will invest in a business intelligence (BI) solution for different reasons, depending on their specific circumstances and industry.

The business intelligence dashboard, or BI dashboard, is a paradigm that’s well over 30 years old, and for many, it hasn’t evolved fast enough to address a fundamental limitation. Context. On its own, dashboards are a handy visualized report of key data pertaining to business performance, designed as a way to quickly consume important data at-a-glance.

Yellowfin has again been recognized in the Leader and High Performer quadrants in the 2022 G2 Summer Grid Reports for Small Business, Enterprise and Asia Pacific Regional! At Yellowfin, we're grateful for all the reviews our end-users and customers have provided for us on G2, one of the world's leading independent business software and service comparison sources for user ratings and trusted peer-to-peer reviews.

Business data is continuously growing in complexity and quantity. With so many variables, it’s impossible to scan every dashboard or report with a fine-eye, or track every trend. To get the most insights out of your dashboards and reporting today requires a two-prong approach of both manual analysis and automated analysis - the latter of which requires the integration and use of what is called augmented analytics.