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Turning raw data into clear, useful measures is a challenge many businesses face. ProSight data offers a wealth of information, but without the right approach, it can remain just numbers. The key lies in converting this data into actionable Key Performance Indicators (KPIs) that guide decisions and drive growth. This post explores practical steps to transform ProSight data into KPIs that truly support business goals. Dashboard showing ProSight data metrics Understanding ProSi

Understanding ProSight Data and Its Value ProSight collects detailed data from various sources, including system logs, user interactions, and operational metrics. This data provides a timeline of events and performance indicators that reflect real-world activity. By analysing this information, users can: Track changes in system responsiveness or uptime Monitor user behavior and engagement Detect anomalies or recurring issues Measure the impact of updates or interventions

Local governments and councils manage a wide range of public assets, from streetlights and parks to vehicles and public buildings. Keeping track of these assets is essential for maintaining services, controlling costs, and ensuring public safety. Yet, many councils face challenges with outdated systems, manual processes, and incomplete data. ProSight offers a practical solution to improve asset monitoring, making it easier for local authorities to manage their resources effic

Industrial operations have long relied on SCADA (Supervisory Control and Data Acquisition) systems to monitor and control equipment. These traditional systems have served well for decades, but a new approach is rapidly gaining ground: cloud-based monitoring. This shift is changing how industries track performance, respond to issues, and manage data. Understanding why cloud-based monitoring is replacing traditional SCADA extensions can help businesses make smarter decisions ab

Data gaps and connectivity loss can disrupt the smooth operation of ProSight, leading to incomplete data analysis and delayed decision-making. For users relying on ProSight’s real-time monitoring and data collection, handling these interruptions effectively is crucial to maintain accuracy and reliability. This post explores practical strategies to manage data gaps and connectivity loss in ProSight, helping users ensure continuous data integrity and operational efficiency. Net

Choosing the right control system architecture can make a significant difference in the efficiency, reliability, and cost of your automation project. Two common approaches are sensor-only systems and PLC-driven systems. Each has its strengths and limitations, and understanding these will help you select the best fit for your specific application. Industrial sensors installed on conveyor system What Are Sensor-Only Systems? Sensor-only systems rely exclusively on sensors to de

Industrial automation relies heavily on sensors and programmable logic controllers (PLCs) to monitor and control processes. When something goes wrong, alarm systems alert operators to take immediate action. Designing reliable alarm systems for sensors and PLCs is essential to maintain safety, prevent downtime, and protect equipment. This post explores practical strategies to build efficient alarm systems that improve response times and reduce false alarms. Industrial sensor w

Collecting data from sensors made by different vendors often creates challenges. Each vendor may use unique formats, protocols, or calibration methods, making it difficult to combine data into a single, reliable dataset. Without standardisation, data analysis becomes complex, error-prone, and time-consuming. This post explores practical ways to standardise data collection across sensor vendors, helping you build consistent and trustworthy datasets. Sensor array installed on i