IoT Data Visualization Techniques

Question ^*

What types of visualization tools are you currently using (if any)?

1. Dashboards (e.g., Grafana, Tableau)

2. Custom-built dashboards

3. Cloud provider tools (e.g., AWS, Azure, GCP)

4. Spreadsheets

5. None

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Question ^*

What specific features would be most valuable in an IoT data visualization tool?

1. Interactive dashboards with drill-down capabilities

2. Real-time data streaming and updates

3. Customizable alerts and notifications

4. Support for various data formats and sources

5. Easy integration with existing data infrastructure

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Question ^*

What type of IoT data are you primarily working with?

1. Sensor data (temperature, pressure, etc.)

2. Location data (GPS, tracking)

3. Operational data (machine status, usage)

4. Environmental data (weather, pollution)

5. Other (please specify)

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Question ^*

What are your primary goals for visualizing IoT data?

1. Real-time monitoring and alerts

2. Trend analysis and pattern discovery

3. Performance optimization and predictive maintenance

4. Data-driven decision making

5. Reporting and compliance

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Question ^*

What are the biggest challenges you face with current IoT data visualization techniques?

1. Data volume and velocity

2. Integration with existing systems

3. Lack of real-time capabilities

4. Visualization complexity and usability

5. Lack of customization options

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