What is digital transformation? A practical guide for businesses

In short: Digital transformation is the use of technology and data to change how a company operates, serves customers and makes decisions. Buying software is only one part of it. It rests on four pillars that have to move together: people, processes, technology and data. Small and mid-sized businesses should start with the one process that costs the most effort or produces the most errors, measure the result, and only then expand.

What is digital transformation?

Digital transformation is the process of using digital technology and data to rework how a company sells, produces, manages and decides, so that work gets faster, has fewer errors and relies on numbers rather than gut feeling. What changes in the end is the way the business operates. Software is the tool that gets you there.

Take a hypothetical 50-person building-supplies distributor. Orders arrive by phone and chat apps. Sales staff copy them into Excel, accountants retype them into the accounting system, and the warehouse works from printed slips. At month end the director waits several days for a revenue report, and the sales figures rarely match accounting's.

Adding a new sales app while every team keeps re-entering data the old way changes nothing. For this company, digital transformation means an order is entered once, the warehouse, accounting and the director all see the same numbers, and the report is ready every morning.

Setting goals you can measure

Good goals use the company's own operating numbers: time to process an order, share of quotes that need rework, days to close the books, repeat-customer rate. "Modernise the business" is a slogan. "Close the monthly report in one day instead of four" is a goal, because everyone can tell when it has been met.

Digitization, digitalization and digital transformation

The three terms differ in what actually changes. Digitization changes the form of information, digitalization (often called computerisation in Vietnam) changes the tool used for a task, and digital transformation changes how the whole business works.

	Digitization	Digitalization	Digital transformation
What changes	Paper becomes files	The tool for a single task	How the business operates, sometimes the business model
Example	Scanning contracts, typing a customer list into Excel	Using accounting software or a time clock	An order flows from customer to invoice with no retyping
Scope	One document type	One department	Several departments, end to end
Led by	Admin staff	Department head or IT	Leadership team
Test question	Is there a digital copy?	Is the software running?	Is the business faster and making fewer errors?

These levels usually build on each other: records that are still on paper are hard to put into software, and data that never reaches software can't be analysed or handed to AI. You don't have to finish each level company-wide before starting the next, though. It often works better to take one process, such as quoting, through all three.

What are the benefits?

Time is the most visible benefit. Retyping, cross-checking and phone calls to ask about order status shrink when data is entered once and anyone who needs it can look it up. That time moves to work that needs people: advising customers, handling exceptions, negotiating with suppliers.

Other benefits tend to follow. Errors drop because prices, product codes and balances come from one source instead of personal spreadsheets. Directors see revenue, stock and receivables daily and spot slow-moving items or overdue customers weeks earlier. Customers get answers about their orders without staff calling the warehouse. Growth stops requiring a matching increase in data-entry staff. And the business depends less on what individual employees remember, so a resignation doesn't take the customer list with it.

Benefits only turn into money when they are measured. Record today's numbers before you change anything; our guide to digital transformation ROI shows how to convert them into a payback period.

The four pillars

Digital transformation works only when people, processes, technology and data move together. Good software that nobody uses still fails, and a clean process fed by scattered data still produces wrong reports.

People are the most neglected pillar. Staff are used to the old way, and some fear being monitored or replaced, so new tools get used half-heartedly while the real work continues in Excel. Leadership has to explain why things are changing, name an owner in each team and train people during rollout, not after. See change management in digital transformation.

Processes need to be mapped and simplified before they go into software, because automating a messy process only makes the mess run faster. Our guide to business process automation covers which processes to tackle first.

Technology covers management software (accounting, sales, inventory, HR), collaboration tools, the connections between systems, and AI. Smaller businesses rarely need to replace everything. Keeping the tools that work and connecting them through APIs, so that systems exchange data without anyone retyping it, is usually the better path. For choosing software, read business management software; for putting AI to work, read AI for business.

Data is what each transaction leaves behind: orders, invoices, stock slips, customer history. Clean data (no duplicates, correct codes, kept up to date) decides whether reports and AI answers are right. Pick one home for each type of data early, for example product codes are only edited in the inventory system and every other tool reads from there.

Digital transformation for SMEs in Vietnam

Vietnamese SMEs transform under different conditions from large firms. They rarely have an IT department, budgets are approved quarter by quarter, and the owner is both the decision-maker and a main user. The upside is fewer layers of approval, so a change that works can spread across the company in weeks.

A typical starting point: sales over Zalo, Facebook and phone, figures spread across Excel files, a standalone accounting package and e-invoicing already in place. That is not a bad place to start. Accounting software and e-invoices already give the business a fairly clean digital data source; the next step is connecting sales and inventory to it. Starting points also differ by sector, which we cover in digital transformation by industry.

On the policy side, Politburo Resolution 57-NQ/TW of 22 December 2024 makes national digital transformation, together with science, technology and innovation, a development priority. On the legal side, Vietnam's Law on Personal Data Protection (No. 91/2025/QH15) took effect on 1 January 2026. Before moving customer or employee data into new software or AI tools, a business needs to know where that data sits, who can see it and whether the people it describes have consented.

Where to start

Start with one specific process that costs the most effort or produces the most errors, not with choosing software.

1. Assess the current state. Each team lists repetitive tasks, points where information is delayed or lost, and which files hold which data. The output is a list of bottlenecks ranked by impact.
2. Pick one or two priority problems. Choose problems with clear value that can be solved within a quarter and have a named owner. Record KPIs and current figures first.
3. Pilot small. One process, one team, one group of users. Train during the pilot and adjust the process from feedback.
4. Measure and adjust. Compare KPIs before and after. If you miss the target, look at the process, the data and how the tool is used before blaming the tool.
5. Scale. Extend to other teams or the next process only after the pilot works.

For the first step in detail, see where to start digital transformation. For a multi-phase plan with budget and milestones, see the digital transformation roadmap.

What costs does digital transformation involve besides software?

Besides the software licence or subscription, a digital transformation project brings two kinds of cost. The first is cash paid to outside parties: implementation, integration, data migration, training and equipment. The second is internal: the working hours of your own staff and leaders. The internal kind is usually the largest, yet it appears on no quote, so it is often left out of the budget and is a common reason projects run late.

Cost item	What it involves	Paid in
Consulting, implementation, configuration	Assessment, new process design, configuring the software to how the company works	Cash, per contract or per day
Integration between systems	Connecting the new software to existing accounting, warehouse and sales tools via API	Cash, often more when processes change
Data migration and clean-up	Merging customer and product lists, fixing duplicate codes, loading opening balances	Cash (if outsourced) and staff hours in accounting, warehouse, sales
Equipment and infrastructure	Scanners, tablets, network, servers for on-premise systems	Cash
Training and early support	Sessions, guides, on-call help in the first weeks	Cash and trainees' hours
Leadership time	Setting priorities, regular reviews, resolving cross-team issues	Director and deputy directors' hours
Process mapping and redesign	Mapping today's process, agreeing the new one	Department heads' and key staff hours
Parallel running	Working the old and new way side by side, with a temporary productivity dip	Every user's hours
Yearly operation	Maintenance, updates, a system owner	Cash and hours, every year

When comparing quotes, ask vendors which items are included and which are charged separately. To turn internal hours into money and a payback period, see digital transformation ROI.

Common mistakes

According to BCG (2020), 70% of digital transformations fall short of their objectives; the study drew on data from 70 companies and a survey of 825 senior executives. Only one of BCG's six success factors concerns the technology and data platform. The rest are about how the work is run, such as clear goals, leadership commitment from the CEO down to middle management, and tracking progress against defined outcomes. In SMEs the most frequent mistakes are:

1. Buying software before thinking about the process.
2. Changing too many things at once, so staff are overloaded.
3. Not recording baseline figures, which leaves no way to prove value.
4. Handing everything to IT or the vendor while leadership stays out.
5. Copying duplicate and wrong master data straight into the new system.
6. Letting old and new ways run in parallel with no end date.

When not to start a big programme

Hold off on a large programme when leadership can't give it regular time, when cash is tight, when the business model is changing, or when the company is so new that its processes shift every month. Small groundwork still pays off in those situations: clean up customer and product lists, put shared documents in one place, write down how key processes work today.

FAQ

What is digital transformation in a business? Using technology and data to change how the business operates, serves customers and makes decisions. The target is faster work, fewer errors and decisions based on numbers.

How is it different from digitization? Digitization only changes the form of information, such as scanning paper into files. Digital transformation changes how work flows across departments, and usually needs digitization as a first step.

Do small businesses need it? Yes, at a scale that fits. A 20-person company can start by putting customer data in one place or automating quotes, without a full ERP.

How long does it take? It is ongoing work with no finish date. Each phase, however, should be small enough to show measurable results within about a quarter.

Should we hire a digital transformation consultant? It helps when nobody inside has the time and experience to assess the current state, choose software and manage the rollout. A good adviser helps pick the right first problem and avoid overbuying; decisions and day-to-day use stay with the business.

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HAT Solutions advises SMEs on digital transformation: assessing the current state, building a roadmap with KPIs, and rolling out automation and AI on top of the software you already use. Get in touch to discuss the right starting point. Read next: Digital transformation roadmap and AI process automation vs RPA.