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A key consideration when buying an embedded analytics solution is not only whether it supports embedding of charts and reports, but that it can integrate analytics in a way that is indistinguishable from the experience of your application. Learn what white-label BI is.

Self service analytics (also called self-service business intelligence, or self-service BI) is a term commonly used among analytics vendors and organizations adopting BI, often in the context of being the next big thing in driving more people to use data to find insights. But what is self service analytics? How does self service analytics work? And why does self service analytics matter?

Yellowfin has again been recognized in the Leader quadrant in the 2022 G2 Fall Grid Reports for Embedded Business Intelligence (Enterprise and Small Business). This is Yellowfin's 13th quarter in a row to be named a leader in a G2 Grid Report. The Yellowfin team are grateful to our customers for the reviews they have provided for our embedded analytics capability and product suite on G2, a leading business software and service comparison source for trusted user ratings and peer-to-peer reviews.

Charting libraries are in great demand, and their creation and use are becoming increasingly popular in languages such as JavaScript. As evidence, several JavaScript charting libraries are available, both commercial and open-source, with a wide range of functionalities to meet the demands of users. But how can a developer make an informed decision and choose the best JavaScript charting library? It's a difficult question, but we're here to assist!

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.