What is Embedded Analytics?
FAQs
Embedded analytics enables analysts, developers, and stakeholders to integrate data from multiple sources, filter the required data, perform real-time analytics, and visualize insights through charts and dashboards. This all happens inside an enterprise application itself, rather than having a separate application for analytics. All of this can be done with an intuitive UI and without writing any extensive code, saving time, cost, and resources.
Embedded analytics is important because it allows businesses to generate actionable insights in real-time, which enhances business productivity and reduces time to market for products and services. Embedded analytics also saves a lot of time, cost, and resources because of its intuitive user interface and ability to integrate data sources and suggest valuable insights.
Some examples of embedded analytics software are modern platforms like MongoDB, Tableau, and Sisense, which integrate analytical capabilities and visualizations into the enterprise application itself. Embedded analytics software has many capabilities including intuitive UI, dynamic dashboards, and real-time insights.
Data analytics finds applications in many domains like healthcare, retail, education, finance, banking, logistics, and supply chain management. Some typical applications are:
- Fraud and risk detection.
- Product recommendation and customer segment analysis.
- Predicting illness, discovering new potential diseases, and patient health monitoring.
- Cost-effective data transportation and live tracking.
- Energy optimization, distribution, and management.
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