I recently saw news about Vietnam’s progress in transitioning to digital governance in the tax field. Many Japanese SME owners might think, “That’s a foreign issue” or “It doesn’t concern us.” However, this trend carries a deeper meaning beyond mere “online tax procedures.” It suggests a fundamental shift in the role of accounting and taxation from traditional “post-processing” and “result reporting” to becoming an “engine that supports management decision-making in real-time.”
In your company, how and when are financial statements and tax returns utilized for management decisions? Have they become something you only look at “after the numbers are finalized”? The wave of digitalization presents the greatest opportunity to eliminate this “time lag” and “disconnect.” This article explores concrete methods for SMEs to redesign “legal, accounting, and tax affairs” as a “decision-making engine,” using the trend of tax digitalization as a starting point.
The Major Shift from “Result Processing” to “Decision Support”
What’s noteworthy in Vietnam’s case is the term “digital governance.” It aims not just at electronic filing (e-Tax), but at transforming governance itself, including data-driven policy formulation, risk assessment, and enhanced transparency.
What does this mean at the corporate level? Traditionally, in many SMEs, business activities (1. what you want to do) occur, take the form of transactions, and finally, accounting processing and tax filing (4. result processing) are conducted. In a sense, taxation was the “endpoint” of business activity. However, as digitalization advances and data can be acquired and processed in real-time, this sequence begins to reverse.
In other words, data-based simulations on “what form is optimal from tax and accounting perspectives” become possible from the business planning stage itself. Taxation and accounting evolve from being a “constraining wall” for business into a “design tool that guides it toward a better form.” This is the core of the shift from “result processing” to a “decision-support engine.”
The Risk of “Digital Disconnect” Facing SMEs
However, there is a major pitfall here. This transformation is not achieved simply by introducing cloud accounting software. On the contrary, there’s a higher risk of a “digital disconnect,” where tools advance ahead while the crucial “integration into decision-making” lags behind.
Specifically, this refers to states like the following:
- Cloud accounting is introduced, but the data belongs only to the accounting staff. Management merely receives PDF profit and loss statements monthly.
- Invoice scanning features are used, but that data doesn’t automatically link to management analysis, such as “which project is more profitable” or “which client’s payment terms are straining cash flow.”
- Tax filing data is left entirely to the tax accountant. Proposals for tax-saving measures occur only during the annual settlement consultation and are not utilized in daily business judgments.
In this scenario, digitalization ends with “task efficiency” and fails to achieve “improved decision-making quality.” Digitalization is a means, not an end.
Three Options: Which “Decision-Making Engine” Does Your Company Have?
So, how should SMEs proceed? Here, we present three options based on the degree of integration of tax and accounting data into management. Use them as a reference to assess your company’s current stage and determine the next target.
Option A: Efficiency-Focused Type (Maintain Status Quo / Low Risk)
Content: Limit the purpose of digital tool introduction to “improving efficiency and achieving paperless operations in the accounting department.” The data output remains traditional monthly, quarterly, and annual financial reports. Management does not change its style of making decisions after receiving reports.
Benefits: Limited scope of introduction minimizes initial costs and internal resistance. Existing decision-making processes can remain unchanged.
Drawbacks (Risks): Fails to leverage the latent value of data. High probability of falling behind in decision speed and accuracy when competitors transition to data-driven management (Risk Level: 40). Low ROI on digitalization investment.
Option B: Departmental Collaboration Type (Incremental Improvement / Medium Risk)
Content: Visualize accounting data on a dashboard accessible not only to management but also to middle managers like sales managers and division heads. For example, enable near real-time viewing of “gross profit margin by customer/product” or “project-wise actual expenses vs. budget comparison.”
Benefits: Financial data begins to inform on-the-ground decision-making. Discrepancies between budget and actuals can be detected early. Numbers start functioning as a common language across departments.
Drawbacks (Risks): Requires cultivating the habit of using dashboards and educating on data interpretation. Mere “visualization” of numbers risks leading to misinterpretation or short-sighted actions (e.g., immediately dropping low-margin customers) (Risk Level: 60). The “translation” process between tools and people becomes crucial.
Option C: Decision-Embedded Type (Transformative / High Risk)
Content: Embed the flow of accounting and tax data into the core decision-making processes of management itself. For example, creating in-house simulation models based on past data from cloud accounting when formulating profitability plans for new ventures. Or, during the contract review stage for major deals, pre-confirming how revenue recognition and consumption tax handling will be registered in the system to assess manageability.
Benefits: Enables precise, pre-assessment of the financial impact of business decisions. Can transform legal, accounting, and tax experts from post-facto checkers into co-creators in business design. Moves closer to realizing the ideal governance sequence: “Business Design → Legal Translation → Accounting Management → Tax Processing.”
Drawbacks (Risks): Requires management’s own data literacy and the ability to request experts (tax accountants, CPAs) for “conditions to make the business viable,” not just yes/no judgments. High initial design and education costs. Collaboration with traditional-style experts may become difficult (Risk Level: 75).
Failure Patterns: Over-Reliance on Tools and Lack of “Translation”
When aiming to transition to Options B or C, the two most common failures occur.
The first is “over-reliance on tools.” Even if a high-function BI tool is introduced, if the “management questions” are unclear—such as which metrics (KPIs) to watch, what those numbers mean, and what actions they should lead to—the dashboard ends up as just a list of numbers. Tools do not provide “answers.” Clarifying the “questions” is the manager’s job.
The second is “lack of translation.” There is a gap between accounting data (e.g., “sales revenue”) and on-the-ground activities (e.g., “number of client visits” or “webinar participants”). Unless this gap is bridged and the causal story—”when and how much will this lead generation activity translate into sales and profit?”—is translated and constructed, data cannot be leveraged for decision-making. This translation work must be done collaboratively by management, frontline staff, and accounting personnel.
A Concrete First Step: Change One Agenda Item in Your Management Meeting
You don’t need to start with a grand system implementation. From next month’s management meeting, try changing just one thing.
Change the traditional agenda item of “Review last month’s profit and loss statement” to: “What is the most concerning number from last month’s data? What specific actions can we take this month to improve that number (or prevent its deterioration)?“
Repeating this question will naturally highlight issues like “what data is needed for decision-making?” and “in what form and at what timing can we obtain that data now?” From here, the shape of the “decision-making engine” your company needs will begin to emerge. Tax digitalization is merely a “tailwind” that accelerates this process and enables more sophisticated simulations.
The news of Vietnam’s tax digitalization poses this question to us: “Can your company’s numbers be transformed from records of the past into an engine for creating the future?” The essence of digitalization lies not in updating tools, but in updating the quality and speed of decision-making. Why not start taking the first step today to bridge the slight “disconnect” between your accounting data and management judgment?
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