In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

To capitalize on the value of their information, many companies today are taking an embedded approach to analytics and delivering insights into the everyday workflow of their users through embedded analytics and business intelligence (BI). However, in order to successfully expose analytics to customers and partners, companies are faced with three main challenges:

• Manage complex data (big and disparate datasets) quickly
• Share data and insights securely
• Ensure the solution is built on scalable, cost effective infrastructure

Learn all about embedded analytics in this guide by Sisense, including a general overview of embedded analytics, the different approaches to embedding BI and analytics, and the benefits and challenges of the most popular BI solution technologies.