ZedIoT · Your One-Stop IoT Development Partner
IoT Data Analytics
From Data Streams to Business Dreams: Harness the Power of IoT Analytics for Smarter Decisions.
How IoT Data Analytics Works？
IoT Data Analytics
IoT data analytics begins with sensors collecting data from devices, which is then transmitted to a centralized system, either in the cloud or on-premise. The data is stored in databases and processed through batch or real-time methods. Machine learning algorithms and predictive analytics are applied for insights, and the results are visualized through dashboards and reports for informed decision-making. This systematic process transforms raw data into actionable intelligence, empowering organizations to optimize operations and drive innovation.
Insights
These algorithms are specialized computational procedures designed to process and analyze the vast amount of data generated by IoT devices, enabling intelligent decision-making, automation, and valuable insights.
As the volume and complexity of IoT-generated data continue to grow, the need for effective visualization becomes paramount. IoT data visualization plays a crucial role in converting raw information into meaningful insights, enabling informed decision-making and enhancing overall system understanding.
Great Features
Real-time insights, scalability, and user-friendly customization. Unlock machine learning, optimize costs, elevate your business!
Development Steps
Click & edit, drag & drop. This is the only way to go forward and create amazing pages in minutes.
Configure Data Sources
Configure data sources for data analysis, including linkable sensors, external custom sources, and more.
Process Data
Data can be filtered, aggregated, and associated dimensionally. ML algorithms can predict.
Store & Forward Data
Data analysis can be done using stored data and presented visually with custom dashboards.
Analyze & Visualize Data
Data analysis can be done using stored data and presented visually with custom dashboards.
Data Services
Custom APIs can be defined for stored data, callable on a dashboard, or accessible in other third-party apps.
Contact us and our experts will get back to you with more cases.