Embedded analytics can help companies gather as much information as possible and gain a competitive edge, be it via sophisticated data mining, data visualization, and reporting, capabilities. However, not all business intelligence (BI) partners are equal. This blog will help you identify what you should look for in an embedded analytics partner. Table of Contents.

Data visualization tools help turn complex data into intuitive charts, and enable faster understanding of key insights from large datasets. However, for most reporting needs, you need more than data visualization tools for effective business intelligence (BI). For example, not everyone in a team may be technically proficient in SQL, or know how to consume data using charts, graphs and heatmaps.

Embedded analytics has become a priority for many companies today. It means building data visualizations and business intelligence (BI) features right into public-facing apps. However, some businesses don't like this idea. They don't want to feature a third-party solution in their first-party applications - leading to a lack of data and analytics used.

If you’re in business, you’ve probably already heard of business intelligence (BI) tools. With the use of embedded analytics, BI helps organizations improve decision making and planning by providing them with a valuable way to manage, analyze, and visualize data that is often difficult to access or even find. Spreadsheets and ad-hoc reporting are now a thing of the past. When used correctly, it can be a great way to help you keep your finger on the pulse of your business.

What is the one thing that all business leaders need to get started with data analytics? The answer is simple. You need to start with the right analytics platform. Selecting the right BI platform is complex, and there are many things that you need to consider. It will help if you consider that an analytic tool should provide all the features a business needs. It should also have a well-established reputation and a track record of delivering reliable and quality market data solutions.

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.