Data security (or data protection) is a term often used in the context of analytics and business intelligence (BI). It encompasses a number of different policies, processes and technologies that protect an company's cyber assets against data breaches and threats. But what does all of that really mean, in relation to BI specifically?

Yellowfin converts your data into visual Reports and then helps you to create Dashboards and Stories to present these reports to your customers. The Reports are usually a combination of data fields and charts. Charts are a significant component of any report. They help customers understand the data quickly and give your report or presentation clarity and authority.

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.

Data visualization is an elementary component of human learning and understanding. It's also a significant capability of business intelligence (BI) and analytics solutions today. So, how did data visualization first come to be? The humble origins and gradual evolution of data visualization has led to an interesting timeline.

A business intelligence (BI) dashboard is an essential tool for managing and monitoring your business data. Well-designed BI dashboards can help you quickly and easily understand your company’s performance, identify trends, and make informed decisions. In this article, we will discuss seven key elements of an effective business intelligence dashboard. By understanding these elements, you can create a powerful tool that helps you manage your business data effectively.

Data visualization is one of the most important capabilities of any business intelligence (BI) and analytics solution. It helps people translate complex data into a visual context, like a chart or a graph, identify trends numbers alone can't easily reveal, and discover hidden patterns in your dashboard. Data visualization also provides a wealth of additional benefits, such as enabling easier understanding of the correlation between operations and results.