If It Ain’t Broke, Digitize It Anyway
Why wait for something to break when you can turn it into something better? Even well-oiled machines (literally and figuratively) need a tech upgrade to stay ahead of the curve.
For most of the last half-century, the saying If it ain’t broke, don’t fix it was the unofficial mantra of manufacturing. During Industry 3.0, the emphasis was on efficiency, stability, and repeatability. Once a process was optimized and standardized, the job was to keep it running the same way, over and over, with as few interruptions as possible. Automation systems like PLCs, CNC machines, and ERP software were designed to bring consistency and eliminate variability. That motto worked because change was expensive, risky, and often unnecessary. Efficiency came from stability.
But today we are living in Industry 4.0, which is a completely different game. This new era is not about squeezing one more percentage point of efficiency out of a stable process. It is about rapid innovation built on an unprecedented amount of data. The leading manufacturers are no longer asking “Is it working?” but “What else can I learn, improve, or predict from the data my systems generate?” In this world, “not broken” is not good enough. If you are not digitizing, you are falling behind.
Why Industry 4.0 makes digitization essential
Unlike in the past, most of the powerful technologies that define Industry 4.0—AI, machine learning, digital twins, advanced analytics, predictive maintenance—cannot even function without connected, digitized systems. You cannot build an AI model if your production data lives in paper logbooks. You cannot create a digital twin if your systems are siloed and unconnected. You cannot run predictive analytics if your data is not contextualized, standardized, and easily accessible.
The beauty of digitization is that even if you never change the process itself, there is tremendous value. Making information digital and structured unlocks visibility, speed, accuracy, and readiness for future innovation. Even back in 2014 McKinsey showed that digitizing information-intensive processes can cut costs by up to 90% and turnaround times improved by several orders of magnitude.
Digitization is step one
Let’s clear up the terminology, because words like digital and digitization often get tossed around loosely.
Digital refers to using technology that relies on binary code (ones and zeros) to represent data. Think of it like turning everything into a format that computers understand. For example, an old-school photograph is physical, but when you scan it and save it as a JPEG file on your computer, it becomes digital.
Digitization is the process of converting something from analog (like paper) to digital (like a PDF). Imagine you have a stack of handwritten meeting notes. When you scan those notes and save them on your computer, that's digitization. The content is the same, but now it's in a digital format.
Digitalization goes a step further. It's not just about converting things to digital formats but using digital technology to change how a business operates. For example, instead of just scanning your handwritten notes, you start using an app that not only digitizes your notes but also organizes them, sends reminders, and integrates with your calendar. This changes how you manage and interact with your notes, adding new value and efficiency.
Digital Transformation is a broader concept. It involves rethinking and overhauling business processes and models to leverage digital technologies fully. For instance, if a traditional bookstore transitions into an online platform that uses AI to recommend books, offers e-books, and connects with readers through a community forum, that's digital transformation. It's about reimagining the business in a digital age, not just making incremental improvements.
Digitization isn't about overhauling your entire operation; it's about taking those manual processes and tasks and making them digital. Even if everything seems to be running smoothly, digitizing can bring a multitude of benefits to your manufacturing business. From reducing errors to speeding up operations, digitization ensures that your processes are more reliable and efficient. Why settle for "good enough" when you can easily make things better?
he hidden value of “digitizing it anyway”
Here are just a few reasons why digitization pays off even before you start changing processes:
Fewer errors: Manual processes and spreadsheets are notorious for mistakes. Digitization eliminates re-keying, copy-paste errors, and missing paperwork.
Faster operations: Data collected automatically is available instantly. That speeds up decision-making and reduces delays caused by waiting for manual reporting.
Transparency and traceability: Digital records create a single source of truth. That makes audits, root cause analysis, and compliance faster and more reliable.
Scalability: Once processes are digitized, you can replicate best practices across lines, plants, and regions. Manual methods rarely scale beyond the team that created them.
Readiness for AI and analytics: Digitized data is the foundation for predictive maintenance, quality analytics, and optimization algorithms. Without it, the door to Industry 4.0 technologies remains closed.
Industry 3.0 rewarded stability. Industry 4.0 rewards adaptability and innovation fueled by data. The companies thriving today are not the ones saying “nothing’s wrong” but the ones saying “what more can we make possible if we digitize?”
So the new mantra is simple: If it ain’t broke… digitize it anyway.
Because digitization is not a burden or a massive reinvention. It is the easiest way to reduce errors, speed up processes, improve visibility, and prepare for tomorrow’s innovations. Even if you never change the process itself, digitization brings tremendous value. And if you do change the process later, you will already have the foundation in place.
The question is not whether something is broken. The question is: why would you settle for “good enough” when better is this easy?
References
McKinsey Digital - Accelerating the Digitization of Business Processes, 2014: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/accelerating-the-digitization-of-business-processes