Many organizations are embedding analytics into core business applications to improve the timeliness of insights. By maintaining the business context for data and analysis, analytically-enriched applications close the last mile of business intelligence by helping business people turn insights into action.  

Embedded analytics is not new, but the technology for integrating charts, reports, dashboards, and self-service tools has evolved considerably in the past 30 years. Formerly, only software vendors embedded analytical tools into applications, but now organizations in every industry are doing so to cement ties with customers and suppliers, define a“digital identity”, and even monetize data assets. 

Consequently, many BI vendors now target the embedded analytics market as a high-growth area and have architected their products to make them easier to embed and manipulate from within other applications. These modern BI platforms are browser-based and support rich JavaScript and REST application programming interfaces as well as integrated security and deployment frameworks that work well in cloud-based, multi-tenant host environments. 

You Will Learn: 

1. The definition of embedded analytics
2. Applications and use cases for embedded analytics
3. The evolution of embedded analytics
4. Whether to build or buy analytics to embed in applications

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