Many businesses begin collecting energy data as a means of saving energy – and energy costs. While this remains one of the greatest benefits of energy data analysis, its appeal does not start nor end with direct financial considerations.
In fact, focusing only on energy savings has led to an underestimation of the full value of data-backed energy management in global economies.
Across all sectors – from manufacturing to retail to healthcare – organisations are harnessing the operational efficiency benefits that result from energy data like never before by:
- Assembling and integrating energy data to share across the enterprise
- Combining data and advanced analytics
- Benchmarking against historical data, similar devices, comparable locations, and industry standards
- Acting on alerts and insights to ensure the reliability and performance of critical assets
Using energy data for operations and maintenance results in a wide range of benefits across the enterprise. Organisations are harnessing the operational efficiency benefits that result from energy data like never before.
Businesses, today, generate more data than ever before, yet often, very little is actually used to make real-time decisions. Different departments gather their own data and do not always share it across the organisation.
Collecting data from critical devices formulates a single source of truth that can be easily shared across teams, departments, and entire enterprises. This breaks down information silos and enables managers to set KPIs and predict and avoid waste.
Increased production yields
Both discreet and processed manufacturers rely on the optimal performance of their production machinery energy as a lifeblood. Manufacturers think profit per hour and total profit should be driving factors in making decisions.
By monitoring the energy data of their machinery, manufacturers can now link their operational goals with energy performance. Ensuring equipment optimisation and effectiveness with live equipment status monitoring helps create greater outputs and enables users to calculate the cost of production per equipment/production line.
Improved maintenance schedules and expedited decision making
Initiating a systematic approach to energy data gathering at the device level, manufacturers can be alerted to anomalies in their critical devices. By diagnosing, troubleshooting, and servicing the machinery that is showing irregular consumption patterns, they prevent imminent disruptions or even breakdowns.
From kitchen equipment to HVAC, lighting and industrial machinery – maintenance schedules are improved and become more cost-effective.
When time is money, a quicker decision is a more profitable decision. Enterprise-level decisions that are based on data are reliable and undeniable.
Energy data enables the transformation of facility and maintenance groups from a cost centre to a value centre. No longer do these groups weigh on the company’s bottom line. Instead, they become the suppliers of data that adds value by informing decision-makers of opportunities for savings and optimisations.
Energy forms a sizable share of operating costs
Operational efficiencies from energy data
The starting point for most operational-improvement efforts is incremental change: taking an existing process as a baseline and seeing what improvements are possible from that point.
Saving energy, funnelling the savings to the bottom line, and reducing carbon emissions are all worthy benefits of energy data. Adding the multiple benefits to operations, albeit sometimes difficult to measure or quantify, increases ROI. Operational efficiencies maintain the value of the business while reducing the required resources.