JReport will be exhibiting at the Red Hat Summit on June 23-26 in Boston, MA. Come talk directly with our engineers and product managers to get your questions answered. As an exhibitor, JReport will be demonstrating its embeddable BI solution and latest version release at booth 901.
A reporting engine can turn data into meaningful, actionable information. Using a reporting engine, users can refine data from various sources into easy-to-read and interactive formatted reports tailored to their audience. Embed reporting features directly in your own applications to present data as page or web reports and enable users to analyze and visualize their data.
JReport 13.1 is now available for download with new improvements and features allowing for even richer customization, seamless integration and improved usability. New features in JReport 13.1 include the availability for JDashboard users to embed Visual Analysis components for data discovery, support for EnterpriseDB, and enhanced support for multi-tenant SaaS reporting applications.
The Internet of Things (IoT) is making our world more connected. The number of developers involved in IoT activities will surpass three million globally by 2019, according to ABI Research. As the IoT market continues its dramatic growth, there is a growing need to understand the data through data visualization, analysis and discovery across different types of connected device platforms.
It’s a new year! Now that all the eggnog has been finished, all the presents opened, and the ball has dropped in Times Square, let’s see what this year will bring for us in the BI space. 1. Conversations around interactive data You walk into a meeting, bright and early.
The new JReport 13 is now available and enhanced with a ton of cool, new features. Visualize data on maps with Geo Analysis! With this latest release, JReport is an even more robust, feature rich, customizable Java embedded BI solution with a slew of innovative analytics and dashboard capabilities. Check out the highlights of JReport 13 enhancements below, and the press release.
Making sense of large, complex data sets requires timely, actionable tools and solutions. With advanced data visualization, you can quickly pull the right information from your data in order to make better business decisions. Visualizing data using different types of visual elements such as traditional line, bar, bench and pie charts is good, but these present a static view of your data.
Your users have varying degrees of technical experience; training them is costly. Challenge: Many organizations have a broad base of users with varying levels of technical expertise — this could range from end users with very basic technical knowledge, to power users with a breadth of experience.
In recent years we’ve seen enormous advancements in Business Intelligence and Data Visualization across all industries with respect to the way that companies view and consume data. Much more information is now readily available, and in many cases, this shift has enabled organizations to make better-informed decisions from their data.
BI Dashboards are intended to provide an at-a-glance overview of Key Performance Indicators (KPIs) which reflect the state of business. They need to present relevant data that can be immediately interpreted and actionable, allowing users to make informed decisions. While a dashboard should present data as simply as possible, there are still a set of guidelines to follow and mistakes to avoid.