.png)
Excel is still one of the most important working environments in commodity trading. Even companies with modern data platforms, cloud infrastructure, and advanced analytics tools continue to rely on spreadsheets for a large part of daily work.
Analysts use Excel to compare market inputs, validate numbers, build forward curve views, test assumptions, and turn raw data into something the business can use. The challenge is that leadership needs more control, more scalability, and less manual work, while analysts still need the flexibility that makes Excel valuable in the first place.
Many modernization initiatives struggle because they start with the wrong assumption. They focus on removing Excel from the process, while the deeper issue usually sits in the workflow around it. In many commodity companies, Excel is useful as a working layer, yet risky when it becomes the place where data is collected, cleaned, reconciled, enriched, and distributed.
A stronger strategy is to modernize how Excel fits into the broader commodity data workflow. That means keeping the speed and familiarity users value, while connecting spreadsheets to trusted data, standardized logic, and more controlled processes.
Excel has remained important because it solves real operational needs. Commodity markets move quickly, data changes often, and teams need a practical environment where they can compare sources, adjust assumptions, check logic, and create outputs that support decisions.
This matters especially in commodity organizations, where analysis often combines market data, internal trade data, freight inputs, pricing logic, forward curves, and reference mappings. Spreadsheets give users room to explore those inputs and shape them into views that are useful for both analysts and decision makers.
The weakness appears when Excel carries too much of the operating model. When spreadsheets become the main place for data collection, manual reconciliation, version control, and distribution, the workflow becomes fragile even if the file itself looks efficient.
A spreadsheet can create the impression of speed because users can move quickly inside it. The real cost often appears around the spreadsheet, in the manual steps required to prepare, refresh, check, and share the data.
In commodity companies, legacy Excel workflows often create several recurring problems:
These issues slow analysts down and reduce trust in the output. When teams work from slightly different assumptions or pull inputs from different places, the business can end up with competing versions of the truth.
That weakens reporting, creates avoidable reconciliation work, and increases risk at the moments when speed and confidence matter most. The priority should be to remove the operational weakness around spreadsheet work, while preserving the flexibility that makes Excel useful.
Replacing Excel can sound like a clean solution. If spreadsheets create inconsistency and manual work, a centralized application may appear to offer a more controlled path forward.
In practice, adoption rarely works that way. Analysts continue to use Excel because it is where they can think, test, compare, and communicate quickly. When a new system feels slower, less flexible, or harder to adapt to changing business questions, users often return to spreadsheets through side processes.
Many replacement projects underperform because they treat the tool change as the solution. The underlying operating challenges remain in place, including scattered data access, inconsistent logic, unclear ownership, and manual refresh routines. A stronger modernization strategy accepts that Excel has a real role in commodity workflows. The goal is to stop using spreadsheets as an uncontrolled system of record and connect them to a better data foundation.
Modernizing Excel means connecting spreadsheets to a stronger data foundation and a more controlled workflow. For commodity companies, that usually requires five practical shifts:
The first step is to reduce manual searching, downloading, and copying. Analysts should not have to move between portals, files, emails, and exports just to gather the inputs they need. Excel becomes more scalable when it works as a connected access layer rather than an isolated file. Users should be able to pull trusted data into their working environment from approved sources, using a consistent structure and a repeatable process. The value appears quickly. Less manual effort means fewer errors, faster analysis, and more time spent interpreting data rather than collecting it.
A large part of spreadsheet work is maintenance rather than analysis. Teams spend time refreshing data, checking whether source values have changed, and rebuilding the same inputs day after day. Controlled refresh processes, scheduled updates, and reusable retrieval logic reduce that burden. They also improve consistency because teams work from the same update logic rather than from separate manual routines. This allows analysts to spend more time on market interpretation, scenario review, and decision support. The spreadsheet remains useful, while the repetitive work around it becomes more controlled.
This is often where companies see the largest long term value. If every analyst builds a separate version of the same curve, benchmark mapping, or spread logic, the organization cannot scale efficiently. Small differences in formulas, mappings, units, or naming conventions can create different answers from similar inputs. Over time, those differences become operational problems, especially when outputs feed reporting, valuation, or management decisions. Excel modernization should standardize the logic beneath the spreadsheet. Excel can remain the front end, while the rules behind commodity specific outputs become more consistent and easier to govern.
A spreadsheet should support the workflow instead of carrying the whole workflow. In a more mature setup, data ingestion, validation, enrichment, permissions, and distribution happen through repeatable processes around Excel. This reduces the amount of manual work hidden inside individual files. It also makes the workflow easier to monitor, update, and scale as new sources, users, and reporting needs are added. For commodity companies, this broader platform approach can protect the usability of Excel while reducing the operational risk that usually comes with spreadsheet driven processes.
Speed matters in commodity workflows, especially when markets move quickly and teams need to act on changing information. Speed becomes more valuable when users can also trust where the data came from, which logic was applied, and whether the output is based on approved sources. Modernizing Excel should improve governance as well as usability. Companies need better visibility into data lineage, applied transformations, user access, and changes in key numbers. This is especially important in volatile markets, where decisions may need to be explained, validated, or reviewed later. The aim is to make fast spreadsheet work more reliable.
A well designed Excel add-in can become a practical starting point for modernization. It gives users a way to improve how they work inside Excel without forcing a disruptive change in daily habits.
The NorthGravity Open Excel Add-in helps analysts access selected commodity data from approved sources, search more efficiently, and work with commodity relevant data directly in Excel. This can support workflows such as time series search, forward curve analysis, and connected spreadsheet reporting.
The value goes beyond pushing more data into spreadsheets. The Add-in helps connect Excel to a more structured data foundation, making the working environment more useful for analysts and more aligned with the needs of the wider business.
See how NorthGravity Open Excel works
This approach supports a practical modernization path. Companies can improve the way teams already work, then build stronger data models, automation, and governance around that workflow over time.
An add-in is a strong starting point, yet growing organizations usually need a wider operating model around Excel. Easier access to data inside a spreadsheet becomes more powerful when the surrounding architecture also becomes more reliable.
That broader modernization can include:
This is where the wider NorthGravity platform can support the next stage of modernization.
The Add-in improves the user experience inside Excel, while the broader platform strengthens the data and process architecture around it.
Together, these layers help commodity teams keep the flexibility of spreadsheets while reducing the manual effort and governance gaps that often limit scale.
Before modernization, teams often work in a reactive mode. Analysts spend too much time gathering inputs, checking file versions, fixing broken logic, and repeating steps that could be automated. Excel remains familiar in that setup, but the process around it is fragile. The business may still move quickly in individual files, yet struggle to create consistent outputs across desks, teams, and reporting cycles. After modernization, Excel continues to play an important role, but the working model changes. Data is easier to access, updates are more controlled, logic is more consistent, and workflows depend less on manual intervention. Teams move faster because the process is better designed. The result is better decisions, less rework, and more scalable analysis.
Commodity companies do not need to choose between spreadsheet flexibility and stronger control. They can keep the parts of Excel that users value while removing the workflow weaknesses that create risk and inefficiency.
A practical modernization path starts by connecting Excel to trusted data, standardizing the logic behind key outputs, automating repetitive workflow steps, and adding governance where it matters. Tools such as NorthGravity Open Excel Add-in can support that journey by improving the way teams already work.
Excel will remain part of commodity workflows for a long time. The companies that benefit most will be the ones that modernize around that reality and turn spreadsheets into a connected part of a stronger data foundation.
Want to modernize Excel without disrupting the way your teams work? Explore NorthGravity Open Excel Add-in and see how commodity teams can access market data, search time series, build forward curve workflows, and keep Excel connected to a stronger data foundation.
Explore NorthGravity Open Excel Add-in
Let’s streamline, automate, and unlock your data’s full potential. Talk to our experts today!