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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.