Our company uses the Sisense business analytic platform to make data discovery and intelligence accessible to everyone via an embeddable, scalable architecture. It covers everything from the database through ETL and analytics to visualization.
Main features include the ability to embed white label analytics with customizations, analyze data across your entire landscape, focus on specific areas such as an object, data, or system, and mashup live or cached data. It boasts instant deployment with its Single-Stack architecture that eliminates the need for additional tools to handle data integration to visualization.
The advantages of using sisense includes combining all information from different sources into a single, accessible repository and analyzes data accurately and in real-time. You can easily integrate it with other products and apps with its REST API to generate rich and intelligent analysis. Sisence also provides a faster and straightforward way of sharing insights with your team, clients, partners, etc.
Sisense cons include random stability issues, cubes management is a pain and requires high system resources, out-of-the-box visualizations and reporting features are a bit too basic compared to the market leaders like tableau, and anytime deeply advanced SQL is used in the ETL section it kind of falls apart.