Key highlights
Over 99 percent
accuracy
Over 20 percent
error reduction
Over 60 percent
manual effort reduction
Challenges
1.
Struggled to interpret large sensor data volumes.
2.
Faced challenges identifying trends in unorganized data.
3.
Struggled to present aggregated multi-sensor data.
4.
Encountered issues integrating diverse sensor data.
5.
Required better accessibility for downloadable cluster data.
Solution
1.
The ‘Group Sensor’ feature visualized sensor data in clusters for better analysis.
2.
Graphical views helped identify patterns, trends, and anomalies.
3.
Sensors in each cluster collected various data types, such as temperature and motion.
4.
Users downloaded cluster data in multiple formats for analysis.
Impact
Enhanced data interpretation Simplified pattern recognition, trend analysis, and anomaly detection.
Efficient data aggregation Streamlined analysis with clustered sensor data.
Comprehensive data management Handled diverse data types from multiple sensors.
Improved data accessibility Enabled easy downloads for further analysis.