A
- Access Control
- Agile Development
- AI Analytics
- AI Marketing
- Anomaly Detection
- App Code Obfuscation
- App Security
- Application Development
- Application Hardening
- Application Infrastructure
- Application Management
- Application Modernization
- Application Programming Interface (API)
- Application Security Testing (AST)
- Application Transformation
- Applied Artificial Intelligence
- Artificial Intelligence
- Asset Management
- Authentication
- Authorization
- Automated Machine Learning
- Automation Solutions
Building Analytics
Simple Definition for Beginners
Building analytics is the use of technology to collect and analyze data from buildings to improve their efficiency, comfort, and safety.
Common Use Example
A smart building system collects data on energy usage, temperature, and occupancy. Building analytics software analyzes this data to optimize heating and cooling, saving energy and reducing costs.
Technical Definition for Professionals
Building analytics involves the systematic collection, analysis, and interpretation of data generated by various building systems, including HVAC, lighting, security, and occupancy sensors.
By leveraging advanced technologies such as IoT, machine learning, and data analytics platforms, building analytics provides insights into the performance, energy consumption, and operational efficiency of buildings. This process helps in identifying inefficiencies, predicting maintenance needs, and optimizing building operations.
Building analytics aims to enhance building performance, reduce energy costs, and improve occupant comfort and safety through data-driven decision-making.
Building Analytics