Are you planning to integrate embedded analytics into your business application? You have made the right decision. Embedding analytics directly into your software, rather than using a third-party, separated access application, gives you a wealth of benefits. For example, it helps you to get maximum value from data, brings analytics deeper into standard workflows, and significant competitive advantage. Your software has in-built capabilities others don't.

Drag and drop analytics are more interactive and user-friendly compared to traditional, high code business intelligence (BI) solutions. They allow users without programming experience to easily explore the data and don't require coding knowledge, with a drag and drop user interface to conveniently enhance functionality of any dashboard report. In this post, you will find the importance of drag and drop analytics for more seamless reporting and user experiences when analyzing business-critical data.

Yellowfin’s goal is to be the best choice for building business intelligence (BI) and analytics modules for custom applications. In this blog, GM Dev Tools for Idera and Yellowfin, Atanas Popov shares the company's ambitious vision for 2022 and beyond.

Extensive coding was once necessary for software development. But while businesses still hire software developers to build an application, low code solutions have changed the game. Enterprise applications are now developed without writing a single line of code. Today, complex applications are developed within hours with low-code or no-code business intelligence (BI) platforms.

A lack of understanding regarding the role of data in decision-making is a reoccurring challenge for many organizations. However, with the increase in quantity and complexity of data, you need to do everything possible to help your people use data effectively.

Data visualization is a core element and key capability of embedded analytics. Embedded data visualization tools create real-time visualizations (charts, graphs, etc) and can be embedded into any software application or integrated into a cloud or standalone app, and provides every user quick and easy ways to visualize information. This article explores the benefits of using embedded data visualization tools in your applications, and discusses how it can improve upon the traditional analytics experience.

As data takes the center stage for many organizations, data experts and business leaders are figuring out how to analyze it all. The total amount of data created, consumed, and copied globally has reached 64.2 zettabytes in 2020 and forecasted a CAGR of 19.2% from 2022 to 2025. In other words, we need better tools to leverage it! Organizations today leverage their data to provide better services, build better products, and create new revenue streamlines.

The past two years have seen significant disruption across sectors, markets and technology dynamics, forever changing the way businesses, workers, and customers use data. But while global conditions have created uncertainty, it’s also driven more opportunities for organizations to optimize processes to respond faster to evolving customer demands, competitor shifts, and new risks - leveraging new, innovative data solutions.

Companies nowadays are well aware of the importance of embedded analytics when it comes to being data-driven. Today, building your own analytics infrastructure into your software applications for your customers is not the only option anymore. There is a growing market of embedded analytics tools that offer purchasable solutions for data analysis.

More people are looking for more efficient BI products to integrate into their applications in 2022, and want to know exactly what embedded BI solutions mean for their users. This article will define embedded BI, explain its growth in popularity among software users, and why we suggest Yellowfin as your embedded BI solution for better analytics.