IoT applications discover and store huge volumes of data from multiple sources, and process it using various forms of data analytics. The results of this analysis need to be presented in a way that is useful to end users and aid in their decision making. Presenting data in visual forms, such as charts and graphs, enables users to understand what is happening at a glance and conceptualise what further investigations are required to understand a complex phenomenon (such as building vibrations).
Interactive analytics are a set of tools that allow data analysts to investigate the data and create visualisations that present easy to read results and figures that relate directly to users' requirements. They also provide the ability to share these results with others. The main vendors of interactive analytics tools include: Power BI from Microsoft and Tableau, IBM, SAP Oracle, SAS, MicroStrategy and QlikTech. Technologies such as augmented reality can also be used to project IoT data visualisations onto devices or objects in the field.
Sources: The information on this page has been sourced primarily from the following:
- Case Study titled Studying movement behaviour in a building: A case study of obtaining analytics from IoT Data
Edited by Nadine Cranenburgh