This direct access to contextualized data is a real asset, since it allows for better information, and improved decision-making. Reports, dashboards and other visualizations are an integral part of your solution. That is what embedded analytics is all about: merging data in an environment entirely designed for your users. BI requires the use of a full-fledged tool with a different interface, which is a hindrance to the user experience. However, it cannot be directly integrated into the experience offered by your site or software.
#Embedded business intelligence platform software#
Business intelligence and embedded analytics: what are the differences?Ī business intelligence software collects, processes and exploits a large amount of data from different sources. This applies not only to a company’s employees, not all of whom have an IT profile, but also to its customers or partners, who can use embedded analytics to obtain information more easily and optimize their own processes. Integrated analytics is therefore a powerful tool for making data accessible to the greatest number of people, including non-specialists. Thus, a single interface is all that is needed to access all the dashboards and indicators. The analyses are integrated into the software platform in a transparent and context-sensitive manner.
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In concrete terms, this means that the user can easily consult the data needed, without having to switch to another application. Designed by a third party company, this embedded solution (OEM) integrates naturally into the user’s workflow, as Gartner explains. What is embedded analytics?Įmbedded analytics is a technology for integrating analysis and visualization tools directly into the interface of a site or software. But integrating this functionality into an existing application can be a real challenge, especially from a technical point of view.įaced with this problem, the onboard data analysis (embedded analytics) remains the most cost-effective and easy-to-use solution to implement. As Business Intelligence develops at high speed, data processing and visualization are becoming major concerns for software companies.