Advancements in the Internet of Things (IoT), including smart buildings and smart systems, have resulted in humongous data being generated. However, for building owners, asset managers, developers, and data scientists to refine and build solutions that improve efficiency, sustainability, and the tenant experience, this data should be made usable and normalized. To collect and extract clean and reliable data from diverse systems to get the desired extracted data values and then rinse and repeat for every building or asset is challenging. A data integration strategy that can collect, consolidate, and normalize data is key to overcoming this challenge.
Furthermore, the data integration strategy should be based on a standardized ontology. It should also be capable of extracting data through a single, secure connection because data will be generated by a multitude of connected devices. This data integration strategy will establish a common language for building components and systems to talk to each other and power data science, analytics, and dashboard efforts.
With everything speaking the same language, data access and extraction are simplified. Besides, the need for developers and data scientists to create different mapping schemas and use different application programming interfaces for each application will become unnecessary. It will allow developers and users to collect, organize and normalize data from IoT devices in a building and across a commercial portfolio. Consequently, they can do their jobs more efficiently and deliver usable, quality information to business users and leadership, disrupting the status quo for a more data-driven future.
Click here to read the original article published by Forbes.
Please give your feedback on this article or share a similar story for publishing by clicking here.
