Interval Energy Data: Turning Energy Waste into Actionable Business Insight
From Memes to Meaning: Turning Energy Data into Action
In a world where as much as 80 percent of data collected is not used, why should organisations collect ever more granular energy data?
In a single building or plant, there are hundreds of meters, each collecting half a million data points per year. But there is value in this volume. Rising energy costs, increasing operational complexity, and stronger expectations around resilience are pushing businesses to identify where costs can be reduced; monthly bills and high-level reports are not enough to reveal these needed insights.
For some organisations, the challenge is that data is not being collected, and this is a natural first step to identifying opportunities. Once collected, interval data can start to add value. However, many other organisations struggle to extract value from these data streams as they must be brought together to support decision-making. When data is viewed at finer time intervals rather than only through monthly summaries, it becomes much easier to understand how a site is really operating, where performance is drifting, and where action should be prioritised. Accessible, integrated data is what turns operational complexity into practical action.
Seeing Waste, Not Just Usage
Interval data enables organisations to see when energy is being wasted, not just how much was consumed. Baseload drift, demand spikes, after-hours operation, poor sequencing, control overrides, and weather-sensitive performance issues all become easier to detect when energy and contextual data are viewed together over time.
Across a portfolio, that same visibility enables more meaningful site comparisons, helping organisations to identify which locations are performing well, and focus limited time and capital where it will have the greatest impact. It is not realistic to optimize everything everywhere; better data helps prioritise actions that deliver the most value.
From Estimates to Evidence-Based Decisions
Across all business functions, auditable and traceable data for decision-making is becoming increasingly important. In sustainability reporting, this is being driven by standards such as the Australian Sustainability Reporting Standards (ASRS). In operations and energy performance, the same principle applies. It is no longer enough to estimate that an efficiency initiative should save energy. Organisations increasingly want to verify that it did, understand whether the gain was sustained, and use that evidence to support future investment decisions. Interval data supports that shift by enabling teams to measure performance against baselines, validate changes following equipment or control upgrades, and move from assumption to confidence.
Turning Interval Data into Insight with Resource Advisor
Resource Advisor’s Interval Data Module is designed to support exactly this kind of decision-making. It enables organisations to connect interval data from on-site systems such as BMS (Building Management System), SCADA (Supervisory Control and Data Acquisition), and gateways, as well as cloud-based platforms including vendor portals and third-party APIs (Application Programming Interfaces). This data is combined with contextual information such as weather, production or operating status.
Once connected, Resource Advisor helps standardise and structure that data so it can be used for dashboards, baselines, KPI tracking, alerting, benchmarking, and reporting. A tailored interval-data environment helps organisations move more quickly from raw data to action, with tools that support opportunity identification, performance tracking, invoice validation, savings measurement, and faster response when performance deviates from expectations.
Bridging the Gap Between Data and Action
However, achieving these outcomes still requires expertise and focus. SE Advisory Services’ global Energy Bureau helps close the gap between having data and extracting value from it. The Energy Bureau brings together engineers, analysts, and integration experts to support data connectivity, interval data quality, performance analysis, measurement and verification, and the identification of additional savings.
This combination matters because many organisations do not struggle to collect data; they struggle to review it consistently, interpret it, and turn it into actions that stick. Resource Advisor IDM provides the digital foundation, while the Energy Bureau helps fill the gaps where expertise, time or internal capacity are limited.
Real-World Savings from Better Use of Data
The value of interval data is not theoretical. For process-driven, energy-intensive sites, examples include optimising loads during non-production periods and building performance models of operating equipment giving procurement teams clear visibility into the cost of inefficiency. Across portfolios of simpler sites, benchmarking and time-of-use alerts have revealed behavioural and control issues leading to waste. The solutions may differ, but the cause is the same; underutilisation of your data hides opportunities to reduce energy waste and cost.
For organisations looking to reduce waste, compare site performance, validate energy projects, identify inefficient assets or build better upgrade business cases, interval data is becoming one of the most practical tools available. The real opportunity is not simply to collect more data, but to connect the data already being generated across your sites and use it to make better decisions, faster.
Contact our specialist Gareth Simpson today to unlock deeper savings, strengthen your energy resilience, and take control of your organisation’s energy future.