Trends in BI for 2017 will be focused on greater self-service capabilities, more cloud BI reporting deployments, and the availability of better data visualizations.
This week Jinfonet was featured in The New Stack to discuss what makes a successful commercial application with embedded analytics. In this article, Darren Loureiro, Marketing Coordinator at Jinfonet Software, combs through the fine details of how you can look for a product that is easy-to-use and easy-to-setup.
Since 1998, Jinfonet Software has worked arduously to provide embedded analytics to enterprises with hopes that the light shines on the dark, and people are empowered with analytics.
Jinfonet Software recently surveyed businesses to see how they are approaching BI and analytics both inside and outside of their organization. This recent report highlights that businesses are seeking to provide analytics towards commercial products and services.
Embedded BI in a nutshell… Embedded BI (Business Intelligence) aims to provide a seamless integration of analytical capabilities directly into your applications. Many users realize the commercial applications they use to access data that can be used for insightful decision-making.
For the fourth consecutive Analytics Value Matrix report, JReport has been ranked as an Expert by Nucleus Research. The report evaluates 23 BI vendors based on two criteria: product functionality and usability. Nucleus then categorizes the 23 BI vendors into four quadrants: Leaders, Experts, Facilitators, and Core Providers. Each quadrant often targets a different type of BI audience.
In our latest article with DataInformed, Dean Yao, Director of Marketing at Jinfonet Software, discusses how BI & Analytics solutions should be treated with a fine balance of data governance and self-serviceability. Mr. Yao lays the case out for the importance of data governance and what it means to both users and management.
One of the major challenges with enterprise-ready embedded business intelligence and reporting is how to manage performance and scalability without impacting production databases, applications, and budgets. Users need to get right to their data and analyze them in real time rather than waiting around for hours or days.
In our latest article with InsideBigData, Dean Yao, Director of Marketing at Jinfonet, discusses the top considerations for embedding analytics in your commercial offerings. Dean takes another angle in this article mainly focusing on the front end functionality of embedded analytics solutions, and guiding product owners through the best feature sets to look for.
For many years, enterprise BI tools reigned supreme and IT crafted most reports for business users using meta-definitions or semantic layers to provide governed information. However, the industry wanted to democratize analytics for all technical user levels. As a result, data discovery tools began popping up aimed at pure self-serviceability.