Subnet Blog

Digital Transformation in the Factory: 7 Pitfalls to Avoid

Written by Ben Luks | 04 December 2025 22:11:30 Z

How Australian manufacturers can modernise without disrupting production, blowing out budgets or losing momentum.

Introduction

For many Australian manufacturers, digital transformation is no longer optional — it’s a competitive operational necessity. Whether it’s integrating IoT sensors, adopting real-time analytics, or automating manual processes, the need to modernise is accelerating as we move into 2026.

Yet while the opportunity is substantial, the risk is just as real. Many digital transformation initiatives stall, fail to scale beyond pilots, or never achieve ROI — most often due to avoidable pitfalls.

Below, we break down seven common pitfalls that IT leaders and factory teams should watch for — particularly when modernising legacy environments, eliminating data silos and managing organisational change.

1️⃣ Underestimating Legacy IT Complexity

Most manufacturing environments were never designed for modern connectivity. Legacy ERP systems, custom production software and decades-old industrial equipment all introduce deep integration challenges.

Why it’s a pitfall

  • Upgrades often require downtime that production can’t afford

  • Legacy systems may not support APIs or modern data sharing

  • Older hardware struggles with today’s security standards

How to avoid it

  • Conduct an IT/OT systems audit

  • Invest in integration tools that support hybrid + legacy environments

  • Follow a phased modernisation roadmap rather than a full overhaul

2️⃣ Ignoring Data Silos & Fragmented Information

Disconnected systems are one of the biggest barriers to factory digitalisation. Data often lives in multiple places — ERPs, spreadsheets, production logs, standalone apps, or even handwritten notes.

Why it’s a pitfall

  • Leaders make decisions based on incomplete or outdated data

  • Predictive analytics and automation become impossible

  • There is no single source of truth

How to avoid it

  • Build a clear data strategy before implementing new systems

  • Use middleware or integration platforms to connect IT + OT

  • Standardise data formats and governance

3️⃣ Focusing on Technology Instead of Processes

Many digital transformation projects start with a tool rather than a business problem. That leads to automation of inefficient processes — or worse, new bottlenecks.

Why it’s a pitfall

  • Inefficient processes get “digitised” rather than improved

  • Technology is added with no measurable gain

  • Users remain frustrated

How to avoid it

  • Map and analyse current workflows

  • Redesign processes first, then apply technology

  • Involve shop-floor supervisors in process validation

4️⃣ Neglecting Change Management & Operator Adoption

Technology doesn’t transform factories — people do. If operators, supervisors or technicians aren’t involved early, transformation loses momentum.

Why it’s a pitfall

  • New systems are resisted or bypassed

  • Training is inconsistent or delivered too late

  • Staff feel projects are “done to them,” not with them

How to avoid it

  • Engage frontline teams early

  • Identify and empower change champions

  • Deliver role-specific training with hands-on support

5️⃣ Overlooking OT Cybersecurity Risks

Industry 4.0 dramatically expands the attack surface. Many factories still run old Windows machines, unpatched PLCs and flat networks vulnerable to ransomware.

Why it’s a pitfall

  • A single cyber incident can halt production

  • OT devices often can’t be patched

  • Increased connectivity introduces new vulnerabilities

How to avoid it

  • Segment networks between IT and OT

  • Implement zero-trust access controls

  • Conduct regular cyber audits and train staff in operational security

6️⃣ Getting Stuck in “Pilot Purgatory”

Many manufacturers run endless trials — IoT sensors, AI tools, dashboards — but never scale them.

Why it’s a pitfall

  • No business-wide productivity gains

  • Teams lose confidence

  • Projects become “innovation theatre”

How to avoid it

  • Define success metrics before the pilot starts

  • Evaluate scalability alongside feasibility

  • Secure executive sponsorship for rollout

  • Link every pilot to a broader transformation roadmap

7️⃣ Failing to Align Technology with Business Goals

Digital transformation should solve business challenges — not introduce shiny distractions. If a project isn’t clearly tied to ROI, leadership buy-in fades.

Why it’s a pitfall

  • Misalignment between IT, Operations and Finance

  • Tools are purchased but not utilised

  • Projects lose budget or stall

How to avoid it

  • Start with business outcomes, not products

  • Co-develop KPIs across departments

  • Communicate progress and value frequently

Conclusion: Avoiding These Pitfalls Creates a Stronger, Smarter Factory 

Digital transformation in manufacturing is complex, but entirely achievable with the right strategy. Avoiding the seven pitfalls above enables IT teams to:

  • reduce downtime

  • improve efficiency

  • strengthen supply chain resilience

  • support sustainable operations

  • empower operators

  • future-proof the factory for 2026 and beyond

Manufacturers that modernise with intention — not just ambition — will be the ones who stay competitive in the next decade.