As systems for the connection of devices and the internet of things become more ubiquitous, we've kept up with the need for more interactive analytics. By first researching a specific use case, we simulated the bundle of sensors that are at one's grasp in a typical mobile device with a production prototype ( i.e. Anaren Atmosphere and various sensors on a micro controller board) to capture data on the individual's movements. After ingesting it through a standard architecture (e.g Kinesis & DynamoDB) we conducted some interactive analytics on such data. We realized that it's possible to match the data to the individual owner of such a device. Such an approach can be easily extended to a new use case from industrial IOT for equipment failure to noninvasive wearables for health outcomes. With IOT sensor prototype devices the data is streamed into the client's data infrastructure and we can work on the full range of analytics to get more meaningful insights.