Making energy data more useful for operational decision making
A decade ago, energy management software was mostly used by utilities, industrial facilities, and large organizations with dedicated energy teams. Today, it is more accessible to businesses of all sizes thanks to connected devices, better software platforms, and automated reporting tools.
As more options enter the market, choosing the right solution has become more complicated. Many vendors lead with features such as dashboards, integrations, and real-time monitoring. Those capabilities matter, but they do not always determine whether a platform will be useful long after implementation.
The better question is whether the software helps people make decisions. Business owners and operations teams already manage a constant flow of information. Adding another system only creates value if it answers practical questions: Where is energy being consumed? Have usage patterns changed? Is a facility or piece of equipment behaving differently than expected? Are there opportunities to reduce waste without disrupting operations?
That is especially important as energy remains a significant operating cost. Many businesses are moving away from periodic reviews and toward continuous monitoring so they can catch issues earlier, instead of waiting for a monthly bill or quarterly report.
For example, if energy consumption suddenly increases at a facility, teams should be able to identify where the change occurred, when it started, and whether it points to an operational issue that requires attention. The value comes from being able to investigate and respond quickly, rather than simply knowing that overall usage has increased.
A strong platform should do more than just collect data. It should help teams connect information across sites, assets, and time periods so they can understand trends, compare performance, and identify issues before they become costly problems.
When evaluating a solution, businesses should look for benchmarking tools, useful reporting, real-time and historical data views, and the ability to flag anomalies early. Organizations may also benefit from solutions that can consolidate information from multiple systems, making it easier to compare performance across facilities and identify patterns that would otherwise be difficult to detect. Ultimately, the value of any energy management platform comes down to whether it actually helps people make better decisions and save on energy costs, and whether they can do so with a definite level of ease and consistency.
Author: Le Hong Son
Le Hong Son is an entrepreneur and business leader with more than 20 years of experience in manufacturing, international trade, and technology. As Chief Executive Officer of Flutter Energy, a Canadian start-up founded in 2024, he leads the development of AI-powered solutions that help industrial organizations optimize energy consumption, improve operational efficiency, and support sustainability goals.
Before founding Flutter Energy, Son established and led several successful businesses in Vietnam. He is the Founder and Managing Director of Anh Dao Exim Trading Production Co., Ltd. and served as a shareholder and Sales Director of Gia Hoa Trading Producing Import-Export Co., Ltd., the exclusive Vietnamese distributor of Kiswire Korea steel wire products. Earlier in his career, he helped establish GLS & ASC Securities Joint Stock Company.
Son holds an MBA from the University of Houston–Clear Lake and a bachelor’s degree in Business Administration from Van Lang University. He continues to focus on advancing practical AI solutions for industrial energy management.
