How can predictive analytics help you avoid facility system failures?

1 What is predictive analytics?

Predictive analytics is the use of data, statistical models, and machine learning algorithms to analyze historical and current data, identify patterns and trends, and forecast future outcomes and behaviors. Predictive analytics can help you answer questions such as: What is the likelihood of a system failure? When is the best time to perform maintenance? What are the optimal settings for system efficiency? Predictive analytics can help you make informed decisions and take proactive actions based on data-driven insights.

2 How does predictive analytics work?

Predictive analytics involves four main steps: data collection, data preparation, data analysis, and data visualization. Data collection involves gathering relevant data from various sources, such as sensors, meters, logs, and surveys. Data preparation involves cleaning, organizing, and integrating the data into a unified format. Data analysis involves applying statistical models and machine learning algorithms to the data to generate predictions and recommendations. Data visualization involves presenting the results in an understandable and actionable way, such as dashboards, reports, and alerts.

3 How can predictive analytics benefit your facility engineering?

Predictive analytics can benefit your facility engineering in several ways, such as improving system reliability and availability, enhancing system efficiency and sustainability, and increasing system safety and security. Predictive analytics can help you detect and diagnose system faults, optimize maintenance schedules, prevent breakdowns, extend system life, reduce maintenance costs, monitor and control system parameters for optimal performance and energy consumption, identify and eliminate waste, leakage, and inefficiency in your systems, implement demand-response and load-shifting strategies to reduce peak demand and electricity bills, prevent and mitigate system hazards, alert you to potential risks, improve system security by detecting and preventing unauthorized access, intrusion, and tampering. In short, predictive analytics can help you avoid facility system failures and improve your facility engineering outcomes by gaining insights into your system performance to take actions to optimize, maintain, and protect your systems.

4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?