Current situation and bottlenecks in GHG inventory
For many enterprises in Vietnam today, greenhouse gas (GHG) inventory is regarded merely as a periodic reporting obligation. When the reporting period arrives, departments begin collecting electricity bills, compiling fuel-consumption statistics, and aggregating data from various sources, then calculating emissions manually through scattered, disconnected Excel spreadsheets. According to an ESGreen survey, this process leads to a number of difficulties, such as:
- Difficulty ensuring data consistency when multiple departments are involved in updating it;
- Risk of errors during data entry or formula adjustment;
- Difficulty tracking the change history and identifying the most recent data version;
- Data continuity breaks whenever the personnel in charge changes;
- Significant time spent consolidating data for each reporting period;
- Limited ability to analyze emission trends over time.
The issue, therefore, does not lie in whether Excel is capable of performing the calculations. The real issue is who ensures the data remains accurate at all times, when coordination is required across multiple departments and multiple steps? This is especially true at the point of report assurance, when retrieving information from numerous independent files consumes considerable time and resources.
At the same time, emission data, once it has served its purpose, tends to lie “dormant” until it is needed again in the next reporting cycle. However, alongside the development of carbon-pricing instruments such as carbon markets and the Carbon Border Adjustment Mechanism (CBAM), together with increasingly stringent transparency requirements from global supply chains, this approach is gradually showing its limitations. Emission data should not exist merely to complete a periodic report, it needs to become a strategic asset that directly supports corporate governance. Today, enterprises need not only to know their total annual emissions, but also to answer a number of important questions, such as:
- Which emission source accounts for the largest share?
- What is the emission intensity of a given shipment or product line?
- Will projected year-end emissions exceed the allocated quota (allowance)?
- What are the appropriate emission-reduction measures?
- How close is the enterprise to achieving its emission-reduction target?
To answer these questions, emission data needs to be managed on an ongoing basis, with the ability to be traced and analyzed over time, rather than being compiled only during each inventory cycle.
What enterprises need to digitalize is not the report, but the data
In the digital transformation process, many enterprises tend to focus on digitalizing the output – report. However, the real value lies in digitalizing the entire lifecycle of carbon data.
A modern carbon data management system should support enterprises from collecting activity data, standardizing input information, to automatically calculating emissions using recognized methodologies, document storage, tracking edit history, visualizing data through dashboards and analytical reports.
When data is managed centrally, enterprises can track emission fluctuations by month, by facility, by emission source, or by energy type consumed. This not only improves the accuracy of inventory results but also helps leadership make timely, data-driven decisions.
In other words, carbon data digitalization helps enterprises shift from “recording what has already been emitted” to “managing what will be emitted in the future.”
Modern GHG emission management platforms such as ESGreen’s Ecotrack are developed on the principle of managing emissions as operational data, helping enterprises digitalize the data-collection process, standardize calculation methodologies, manage data centrally, and support report preparation in line with current requirements. Instead of relying on numerous separate spreadsheets, enterprises can build a unified data system that simultaneously serves GHG inventory, ESG governance, and emission-reduction targets. Through digitalization, the difficulties and risks associated with tracking change history, as well as the time and effort required for data consolidation, are significantly reduced, allowing enterprises to focus on their core objective: emissions management.
Conclusion
Under pressure from carbon-pricing mechanisms and global supply chains, enterprises should increasingly recognize that GHG inventory cannot remain merely a matter of “producing reports,” and that emission data must be treated as a strategic asset. By adopting digital platforms for centralized data management, enterprises not only free up resources from manual burdens and the risk of errors, but also gain the capability for accurate analysis and forecasting. Digitalizing carbon data is a decisive transformation that enables enterprises to move from a “passive compliance” to “proactive leadership” position on their green transition journey.