Digitalisation vs Digital Transformation – Differentiating as Business English Trainers

In this blog post, Distance Cert director and Cert IBET learning mentor Ben Dobbs reflects on a topic that has arisen frequently in his corporate training in recent months, attempts to form clear definitions and looks at language needed for discussing digitalisation and digital transformation.

One of the greatest abilities of a trainer, teacher or coach is the capacity to learn from our course participants and coachees. For me, one of the biggest learning experiences of recent months has been acquiring knowledge and insights from course participants and coachees on training programmes in the GCC and elsewhere on the subjects of digitalisation, digitisation and digital transformation and how these compare and contrast.

Digitalisation (or “digitalization” depending on your persuasion) and digital transformation come up constantly in my corporate training courses on leadership, strategy and change management; they’re also just as common in coaching sessions in which executive level coachees wish to formulate action plans and strategies for the same or coachees at other levels voice their enthusiasm or concern for the same.

If trainees or coachees wish to discuss these subjects in their real working roles as well as in training or coaching, this makes these topics directly relevant to us as Business English professionals. For Business English teachers, these terms aren’t just buzzwords or LinkedIn “cringe”; they’re essential lexis for helping learners participate confidently in modern workplace conversations. As such, I have decided to jot down my thoughts on the subject here. This is not intended as a definitive guide and you may agree or disagree (or I may be wrong entirely!).

Digitalisation and digital transformation are often used interchangeably but, to me, they describe two very different levels of organisational change:

• Digitalisation: doing the same things but digitally in terms of processes in order to improve or optimise them

• Digital transformation: rethinking, transforming and reinventing the business itself through digital technologies

Another similar (or at least similar-sounding) item to add to our confusion is “digitisation” which is simply about converting physical information into digital forms. Apparently, this is more than just scanning documents as the digitised form must be usable, searchable and, potentially, editable. Typical and clear, if somewhat bland, examples being the following in which processes are not being redesigned as the core process remains the same:

• A logistics company moves from paper delivery notes to a mobile app.

• HR replaces manual timesheets with an automated attendance system.

• A school scans paper records into a cloud-based database.

There must be digitisation (conversion of data) before digtalisation (improvement of processes)!

Here are some examples of digitalisation based on real-life discussions with coachees or course participants:

• The logistics division of a Saudi FMCG company uses real‑time GPS tracking to optimise delivery routes              

• An online retailer uses customer‑data analytics to personalise marketing and automate recommendations   

• A hospital uses digital patient records to trigger automated reminders, alerts and treatment pathways

In the first example, the process is redesigned using live data → faster routes, lower fuel costs, automated decisions; in our own field, we could say this is like using learning‑analytics dashboards to adjust teaching based on student performance. In the second, data was used to create new value and targeted experiences in the same way we may produce personalised vocabulary lists generated from learner errors. In the third example, the system changes behaviour and workflow rather than just storage in the same way an LMS might send automated feedback or progress alerts to learners.

Digital transformation is a strategic, organisation‑wide shift. It uses digital tools to redesign value creation, customer experience, culture, and business models. Some examples I have recently encountered being the following (quotation marks being added based on my recall of what was said rather than my own words):

• A retailer moves from physical stores to an “omnichannel e‑commerce ecosystem”.

• A manufacturer uses “IoT sensors and predictive analytics” to redesign operations.

• A training company shifts from classroom delivery to a “subscription‑based digital learning offering”.

Each of the above involves a fundamental shift in business model and how value is created and requires strong change management and change leadership to the extent that these can be labelled as transformative.  

In the first example. It became evident the entire business model changed with new channels, new logistics, new customer journeys and new revenue streams. In the second, though the technical aspects were somewhat lost on me (or perhaps underappreciated), operations were being re‑engineered around real‑time data, automation and predictive decision‑making. In the third, there was a shift in the organisation’s business model (to subscriptions), delivery model (to digital) and value proposition (to continuous learning).

At this point, let’s get to our core concern which is arguable language over semantics. Some useful items to teach or pre-teach depending on task being the following:

• Digitalisation / digitalise

• Digital transformation

• Digitisation / digitise

• Automation / automate

• Integration / integrate

Some relevant technology and tools being:

• Cloud computing

• AI and machine learning (including training AI)

• Data analytics

• IoT (Internet of Things)

• Cybersecurity

• Robotic process automation

Some useful verbs for this context which, to me, occur which a high level of frequency when discussing these topics are:

• Drive [change / transformation]

• Implement [a new platform]

• Streamline [workflows]

• Enhance [customer experience]

• Utilise / leverage [data insights]

• Modernise [legacy systems]

• Shift [to a digital first model)

• Retrofit [an office]

• Digitise [data]

• Automate [processes]

• Anchor [changes]

• Overcome [resistance]

• Integrate [technology tools]

These topics also demand the use of a good deal of functional language; input may also be necessary for purposes including the following:

• Explaining a process (“This system allows us to…”)

• Describing benefits (“The main advantage is…”)

• Discussing challenges (“One of the barriers we face is…”)

• Making recommendations (“I’d suggest prioritising…”)

• Presenting a plan (“In phase one, we will focus on…”)

As Business English trainers, we can use these subjects as carriers for the language of technological change and transformation, talking about processes, comparing old and new systems, proposing or justifying changes, outlining plans, making recommendations and more.

Alternatively, these may be subject areas or themes in their own right. In terms of methodologies for using digitalisation and digital transformation as themes in Business English training, case study analysis of best practice cases or reading texts such as articles works nicely while roleplays, simulations or projects can be easily created on these topics using the teacher’s ideas or suitable AI prompts (be cautious with AI as it may treat these terms as synonymous).

Has this come up in your Business English training, recently?

Do you agree with the definitions I have synthesised above?