Systems | Development | Analytics | API | Testing

Introduced in 9.7 as the simplest way to ask questions of your data, Yellowfin 9.8 delivers exciting updates to Guided NLQ, and additional improvements to our report builder. The latest release makes Guided NLQ even more powerful and simpler to use, with new question types (Cross-tab), more intuitive questions with field synonyms and default date periods, and protection against long-running queries - in addition to faster report building.

Dashboards are an important data analytics tool for understanding business metrics and managing your business performance. However, if your dashboard is not designed well, it can be difficult to use for analysis, and ineffective for decision-making. Dashboard design should be simple and accessible, and reflect your company's branding and identity. Ensuring your analytical dashboard is readable, usable and accurate is heavily reliant on following best practice dashboard design.

Technology is always evolving, and so is the way we use it to collect and analyze data. From humble spreadsheet beginnings to fully automated business monitoring and AI-powered analysis, the range of analytics tools on offer today is astounding to consider. The business intelligence dashboard is one such option. It has existed for decades as a tool for organizations to monitor and analyze operational data - and it's not quite dead yet.

From performance metrics to resource allocation to customer feedback, there is a lot of important data for businesses to track today, and it can be difficult to measure it all - but with the right dashboard in place, collating such data for everyone to see is much easier. However, if your dashboard analytics is outdated or otherwise not updated fast enough, you may not be able to provide accurate data about your company's performance at all.

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.