Embedded Analytics integrates analytic content and capabilities within applications, such as business process applications (e.g. CRM, ERP, EHR/EMR) or portals (e.g. intranets or extranets) and also IoT and machine learning data and presents it combined with data from of all enterprise applications.
Decriptive, Predictive and Prescriptive Analytics summarizes what happened in descriptive analytics using sentiment or other social network data. Then it takes different data streams and applies statistical, modelling, mining and machine learning algorithms to allow predictions into future. Finally, it uses the predictive analytics to suggest a possible action or consequence and helps application of it through use of intervention of a collaborating decision maker using actionable and feedback techniques.