An IoT system is implemented, and data accumulates every day. But how should we use it!?

The IoT system has been implemented, allowing us to collect data that represents the operational status of equipment every day. What kind of analysis? What should we look at? Should we use complex statistical methods? I'm struggling and unable to move forward. ◆ Issues - The purpose has been forgotten or not sufficiently considered. - There is no system in place to continuously pursue the true purpose every day. ◆◆ Improvement Proposal - Focus on the "visualization" information on graphs and dashboards to achieve the purpose of implementing the IoT system. - Pay attention only to the "anomalies" that appear in the "visualization" information. - When an anomaly is found, confirm it on-site, with the actual object, and in reality. - Establish a system that repeats this "notice → confirm" process continuously every day. ◆◆◆ Expected Effects - A cycle of finding anomalies and improving them will be established. - By systematizing this improvement cycle, a habit of continuous improvement will naturally develop. ★ IDIoT Proposal - The Ideal IoT System will solve this problem. - Let’s focus only on the anomalies without getting distracted by complex or numerous issues. - Automate the detection of these anomalies with the Ideal IoT System.

basic information

Price range

Delivery Time

Applications/Examples of results