Abstract: Present invention provide a system and a method for recording, evaluating, screening and monitoring life style associated Non-communicable diseases related data of a subject via an Integrated Medical Device (IMD) in real time, and sharing the same on a server, either local or cloud based, for fast, active sharing of data by remote users anytime anywhere.

Abstract: A system and method are disclosed for analyzing return on investment (ROI) for social commerce interactions. User data associated with a target group of social media users is collected and processed to generate a first set of social commerce metrics. The user data comprises a first set of social media interaction data corresponding to a first set of social commerce interactions with the target group of social media users. The user data is further processed to generate a second set of social commerce interactions, which are then performed. The performance of the second set of social commerce interactions generates a second set of social commerce interaction data, which in turn is processed to generate a second set of social commerce metrics. The first and second sets of social commerce metrics are then processed to generate social commerce ROI metrics.

Abstract: A system and method are disclosed for analyzing return on investment (ROI) for social commerce interactions. User data associated with a target group of social media users is collected and processed to generate a first set of social commerce metrics. The user data comprises a first set of social media interaction data corresponding to a first set of social commerce interactions with the target group of social media users. The user data is further processed to generate a second set of social commerce interactions, which are then performed. The performance of the second set of social commerce interactions generates a second set of social commerce interaction data, which in turn is processed to generate a second set of social commerce metrics. The first and second sets of social commerce metrics are then processed to generate social commerce ROI metrics.

Abstract: A system, method, and computer-readable medium are disclosed for automating the management of social media data. Customer identification information associated with a target individual is processed to generate corresponding social media identification information, which in turn is processed to identify associated social media data stored in a social media data source. Once identified, the associated social media data is retrieved, indexed to the customer and social media identification data, and stored in a social profile associated with the target individual. In various embodiments, the customer identification data comprises one or more of a customer's name, a unique customer identifier, a physical address, an electronic mail address, a telephone number, or a customer demographic.

Abstract: A system and method are disclosed for optimizing brand equity return on investment (ROI). Original input data associated with a plurality of brand equity variables is processed using a brand equity ROI model to generate a first brand equity value, which in turn is processed to generate a dependent variable. Input data corresponding to an individual brand equity variable is then processed to generate changed input data, which in turn is processed by the brand equity ROI model with the original input data and the dependent variable to generate a second brand equity value. The first and second brand equity values are then processed to determine the effect of the changed data on the first brand equity value.

Abstract: A system and method are disclosed for social targeting within a social media environment. A sample set of social media interactions containing a reference to an intent to purchase a product is processed to generate a prioritization index. The prioritization index is then used to monitor social media interactions in a target social media environment to identify social media users exhibiting propensity-to-purchase behavior. A propensity-to-purchase value is then generated for each of the identified social media users and they are ranked accordingly. The ranked social media users are then converted into sales leads for nurturing.

Abstract: A method and system are disclosed for monitoring user interactions and generating proactive responses thereto within a social media environment. Social media interactions are monitored, collected, and processed to generate contextual text analyses, which are then processed with social network advocacy data to generate a social network advocacy conversation table. In turn, data associated with the contextual text analyses is likewise processed with social network advocacy data to generate a social network advocacy conversation index, which is used to generate a social network advocacy metric.

Abstract: A method and system are disclosed for monitoring user interactions and generating proactive responses thereto within a social media environment. Social media interactions are monitored, collected, and processed to determine whether they contain content outside of a threshold. If so, they are processed to determine the content causing the content to be outside of the threshold. Once the issues have been determined, proactive actions are performed to counteract the affect of the content.

Abstract: A method and system are disclosed for monitoring user interactions and generating proactive responses thereto within a social media environment. Social media interactions are monitored, collected, and processed to generate a social network advocacy metric. The resulting metric is used as an indicator of the affect of the user interactions within a target social media environment and the effectiveness of corresponding proactive responses.

Abstract: A method and system are disclosed for monitoring user interactions and generating proactive responses thereto within a social media environment. Social media interactions are monitored, collected, and processed to generate social network advocacy analyses, which are in turn processed to generate predictive models. In turn, the predictive models are referenced to perform targeting market segmentation operations and to generate proactive marketing response recommendations.

Abstract: A method and system is disclosed for conducting electronic commerce within a social media environment. A user of a social media site elects to perform an activity associated with a social commerce site. Once the social commerce activity has been performed, its corresponding value is processed with social commerce reputation data associated with the user to generate a social commerce reputation score for the user. The resulting social commerce reputation score is then compared to the requirements associated with different social commerce reputation badges. The social commerce reputation badge that matches the user's current social commerce reputation score is then displayed as a graphical image within the social commerce site along with the user's associated social commerce reputation data.