Digital transformation for businesses: what it is, what it isn't, and how to do it right
Key Takeaways
- 70% of digital transformation initiatives don't reach their goals, according to BCG and McKinsey. Bain puts the number at 88%. The problem isn't technology — it's the lack of clarity about the "why."
- Digitizing is not transforming. Buying software, opening social media accounts, or launching an e-commerce store are acts of digitization. Transformation happens when the way a company creates and delivers value fundamentally changes.
- In Latin America, 96% of SMEs have no active web presence (ECLAC, 2025). Of the 4% that do, 73% maintain a passive presence. The gap isn't just technological — it's strategic.
- The right question isn't "what technology do I need" but "what customer problem do I solve better with technology." Companies that start with the problem grow with more focus and less waste.
- Digital transformation has three levels: optimize what already works, accelerate what has potential, and transform the business model. Not every company needs all three at the same time.
Few phrases have been emptied of meaning as thoroughly as "digital transformation." It's used to sell software, to justify marketing budgets, to describe anything involving a screen. The result is that many business owners hear the term and think of something vague, expensive, and probably unnecessary for their business.
The problem is that digital transformation, when done right, does generate concrete results. But when done poorly (which is most of the time), it only generates frustration, expenses, and the feeling that "this doesn't work for my company." This guide attempts to separate what's real from what's inflated.
What is digital transformation, really?
Digital transformation is the process of using technology to fundamentally change the way a company creates value for its customers and operates internally. The definition used by MIT and Capgemini in their joint research in 2012, which remains the most cited in academia, speaks of three dimensions: how the company relates to its customers (customer experience), how its internal processes work (operational processes), and how it makes money (business model).
The key word is "fundamentally." We're not talking about buying new accounting software or opening an Instagram account. That's digitization: converting something that existed in analog format to digital format. Digitization is necessary but it isn't transformation. Transformation occurs when technology changes what the company does, for whom it does it, and how it does it.
A concrete example: a building materials distributor that moves its orders from a notebook to Excel has digitized. If it implements a system where construction foremen can place orders from their phone, see real-time availability, and receive same-day delivery, it's transforming its customer experience. And if it also uses order data to predict demand and optimize inventory, it's transforming its operations. The technology is the same (an app, a database), but the impact on the business is radically different depending on how it's used.
Why do 70% of digital transformations fail?
Because most companies start with technology instead of starting with the problem. BCG analyzed over 900 digital transformations and found that only 30% achieved their objectives. McKinsey has reported similar figures since 2018, when it estimated that of $1.3 trillion invested in digital transformation that year, roughly $900 billion was wasted. Bain, in its 2024 study, was even more severe: 88% of business transformations fail to achieve their original ambitions.
The causes are consistent across all studies, and none of them are technological. BCG identifies that companies investing in organizational culture are 5.3 times more likely to succeed. McKinsey found that culture, more than technology, is the biggest obstacle. And Harvard Business Review published a 2019 article titled "Digital Transformation Is Not About Technology" arguing that companies fail because they put the cart before the horse: they choose a technology and then look for somewhere to fit it.
Michael Hammer, an MIT professor, coined a metaphor in 1990 that remains perfect for describing this mistake: "paving the cow path." If you have a broken process and slap technology on top of it, you haven't fixed it. You've just made it fail faster and with better presentation. Digitizing a billing process that already has errors doesn't eliminate the errors — it scales them. Automating customer service without understanding what the customer needs doesn't improve the experience — it worsens it more efficiently.
What digital transformation is NOT
Before discussing how to do it right, it's worth naming what's sold as digital transformation but isn't.
| What they sell you | What it actually is | Why it doesn't transform |
|---|---|---|
| Opening social media accounts | Basic digital presence | Doesn't change how you operate or deliver value |
| Buying an ERP or CRM | Process digitization | If the process was bad, now it fails digitally |
| Launching an e-commerce store | Additional sales channel | If you don't understand the digital customer, you just add complexity |
| Hiring a community manager | Digital communication | Doesn't touch operations, business model, or real customer experience |
| Building an app | Digital product | If nobody needs it, it's an expense, not transformation |
None of these things are bad in themselves. They can all be valid components of a transformation. The problem is when they're presented as the complete transformation and the business owner feels they've "already transformed" because they have Instagram and new software that nobody uses.
What's the right question before transforming?
It's not "what technology do I need." It's "what customer problem do I solve better with technology."
This question comes directly from Clayton Christensen's Jobs to Be Done framework, which we covered in our business growth guide. The principle is the same: your customer doesn't want your technology. They want to solve a problem. If technology helps them solve it faster, cheaper, or with less friction, the transformation makes sense. If not, it's expense disguised as innovation.
For a service company in Barranquilla, the customer's "job" might be "I need this resolved without having to go to an office." For an agribusiness in Valle del Cauca, it might be "I need to know the status of my order without calling three times." For a construction firm in Bogota, "I need quotes in hours, not weeks."
Each of those jobs suggests a different technological solution. But the technology comes after understanding the job, not before. Companies that invest in understanding demand before buying technology get better results because they spend less on things nobody needs.
The data backs this up. According to Forrester, truly customer-centric organizations grow 41% faster in revenue. McKinsey found that those placing customer experience at the center achieve double the growth of their peers. And Deloitte reports that customer-centric companies are 60% more profitable.
How to do it right: the three levels of transformation
Not every company needs a radical transformation. Some need to start with the basics. Others already have the basics and need to scale. The key is knowing which level you're at and acting accordingly.
Level 1: Optimize what already works. This is the entry point for most Latin American businesses. It's about identifying processes that already generate value and making them more efficient with technology. Automating billing, implementing a CRM so you stop losing prospects, using project management tools so the team doesn't depend on WhatsApp to coordinate. The goal isn't to revolutionize the business but to eliminate operational friction that drains time and money. It's digitization with purpose.
Level 2: Accelerate what has potential. Here the company already has digitized processes and data it can use. The leap is going from operating digitally to making decisions with data. Analyzing which products have the best margins and focusing the sales force there. Using customer behavior data to personalize offerings. Implementing automations that free the team from repetitive tasks so they can focus on what generates value. It's not a business model change, but it is a change in the speed and intelligence with which you operate.
Level 3: Transform the business model. This is the level most people associate with "digital transformation" but very few companies reach (or need to reach) immediately. It means fundamentally rethinking how the company creates and captures value. Moving from selling products to selling subscriptions. From serving a local market to operating digitally across the entire region. From depending on a physical channel to building a completely digital experience. It's the deepest and riskiest change, but also the one that generates the most durable competitive advantages.
Most companies that come to Suricata Labs are between level 1 and 2. They don't need a technological revolution. They need clarity on what to optimize first, with what tools, and how to measure whether it worked.
What's happening with digital transformation in Latin America?
The gap is real and documented. ECLAC reports that 96% of Latin American SMEs have no active web presence, and of the small group that does, 73% maintain a passive presence with no online services. The combined AI investment of all Latin American countries between 2010 and 2021 didn't exceed 1.7% of the U.S. amount. And the region's AI companies represent less than 3% of the global total.
But the most revealing data point isn't the technological gap — it's the strategic gap. Fixed broadband penetration in the region is below 20% (compared to 40% in Europe), meaning many companies don't even have the infrastructure to adopt tools that are already standard in other markets. And yet, the region has the highest projected growth in digital transformation spending, with a compound rate of 17.9% according to IDC.
This creates a dangerous paradox: there's pressure to digitize, budgets are flowing, but the strategic and technical foundation for that investment to generate returns is missing. The predictable result is that many companies will spend on technology they won't use well, and in three years they'll say "digital transformation didn't work."
The Suricata approach: transformation with purpose
At Suricata Labs we don't sell technology or implement software. What we do is help companies answer three questions before spending a single dollar on digital tools: what specific customer problem are you trying to solve, what internal processes need to change to solve it better, and what level of transformation does your company need right now (not the one that sounds most impressive).
With over 1,200 companies supported, we've learned that the most costly mistake isn't choosing the wrong technology. It's skipping the question of "what for." When a company has clarity about the job its customer needs done and about the bottlenecks preventing it from getting done, the right technology becomes obvious. When it lacks that clarity, every technology looks promising and none delivers results.
If you feel your company needs to transform digitally but don't know where to start, the answer is almost never "buy this software." The answer is to have a strategic conversation about what needs to change and why.
Frequently asked questions about digital transformation
How much does a digital transformation cost?
It depends on the level. Optimizing basic processes (level 1) can cost anywhere from a few thousand dollars in SaaS tools and training. Accelerating with data and automation (level 2) requires investment in consulting, systems integration, and talent. Transforming the business model (level 3) is a long-term strategic project with significant investment. The most common mistake is spending heavily on level 3 when the company hasn't even solved level 1.
Is my company too small to transform digitally?
No. Digital transformation isn't exclusive to corporations. A 10-person company that implements a well-configured CRM and automates its sales follow-up is transforming how it sells. Size doesn't determine whether you can transform — it determines the scope of transformation you need.
Why didn't my last digitization attempt work?
Probably because you started with the tool instead of the problem. If you bought software without redesigning the process that software was supposed to support, you digitized a broken process. If you launched an e-commerce store without understanding how your customer buys, you added a channel nobody uses. The pattern is always the same: technology without strategy generates frustration.
What does AI have to do with digital transformation?
AI is a tool within digital transformation, not a synonym for it. It can be extraordinarily useful for automating repetitive tasks, analyzing data at scale, and personalizing customer experiences. But applying AI to a process you don't understand is the modern version of paving the cow path. First understand the process, then decide if AI improves it.
How long does it take to see results?
With basic optimization (level 1), results can be seen in weeks or months. With data-driven acceleration (level 2), between 3 and 6 months. With business model transformation (level 3), between 1 and 3 years. Companies expecting immediate results from a level 3 project get frustrated. Those that start with level 1 and accumulate quick wins build the momentum for deeper changes.
Conclusion
Digital transformation is not a technology project. It's a strategic decision about how your company will create value in an environment where customers, competitors, and available tools are changing faster than ever. Companies that do it well start by understanding what their customer needs, optimize the basics before attempting the spectacular, and measure real results instead of vanity metrics.
If your company has already tried to digitize and didn't see results, the problem probably wasn't the technology. It was the absence of a clear "what for." And that's the best starting point for trying again — this time with method.
Read also: Growing without method kills companies: a guide to profitable growth
