This document discusses smart building concepts and Internet of Things applications. It describes how sensor data is collected, processed, and presented to provide insights and control building functions. Sensors can measure temperature, humidity, light levels, sound, and presence. The data is analyzed using machine learning and analytics to enable applications like occupancy prediction, equipment monitoring, and location tracking within the building. An iterative process is proposed to inspire new ideas and successfully implement IoT solutions for buildings.