Should a transformation project start with choosing systems or with operating metrics?
With operating metrics. Digital transformation is not buying systems: first assess the current state and digital maturity, set the processes and metrics to improve (baseline, how to measure, how often to review), then decide on ERP, MES, IoT or AI.
| Starting point | What to do first |
|---|---|
| Processes still mainly on paper and manual | Map processes, set metrics, then choose systems |
| ERP exists but is disconnected from the line | System integration and data governance, with OT security planned alongside |
| Already digital, want AI | Build data governance first, then choose AI use cases |
Once production equipment is networked, which security risks should a CTO address first?
A wider attack surface once factory equipment is connected is the first risk of digital transformation. The approach is Security by Design: build the corresponding security controls at every stage, rather than digitising first and fixing later.
- Bring new cloud, data and equipment assets into the scope of the ISO/IEC 27001 information security management system, with risk assessment and treatment plans
- Separate OT and IT into zones and conduits under IEC 62443 and set a target security level for each zone
Winners' digital transformation consulting uses ISO 27001 security requirements as its baseline and builds an OT/IT integrated security architecture alongside.
Legacy ERP and MES are hard to connect to new systems. How do we cut over without disrupting shipments?
The service page lists five risk layers of digital transformation: OT/IT integration security, legacy system integration, business disruption after digitisation, gaps in staff digital skills, and personal data compliance.
When planning integration, a CTO should first answer: how will new systems connect to existing ERP, MES and equipment data? How will shipments continue if the cutover or go-live is disrupted? How will staff processes and skills change with it? Winners builds enterprise risk management (ERM), information security (ISO 27001) and business continuity management (BCM) into the transformation plan so that core business is not interrupted by digitisation.
What should a CTO decide first on data governance and personal data?
- Data governance: how data quality, permissions and retention are managed; a governance structure for data quality, data security and data sovereignty
- Personal data: where personal data is used, whether each batch is collected, processed and used for a specific purpose with a legal basis (Articles 19 and 20 of Taiwan's Personal Data Protection Act); whether a case is lawful is for legal counsel to judge
Data governance is also the precondition for AI later: where data exists but quality, permissions and definitions vary, build data governance first, then choose AI use cases.
How should a CTO sequence digital transformation and AI transformation?
Digital transformation digitises processes and builds the digital base of ERP, MES and IoT; AI transformation adds AI on that base to improve decisions. Most companies need usable systems and data before AI transformation can work.
In Winners' four-step digital transformation, step three is data governance and AI applications, so the two follow on from each other instead of being run as separate programmes.
How long does a transformation project take, in how many steps, and when is a consultant unnecessary?
The service page lists a typical engagement of 7 to 12 months or more, depending on digital maturity and scope, in four steps:
- Digital current-state diagnosis and roadmap, with a digitisation risk assessment
- Core system integration and security hardening
- Data governance and AI applications
- Organisational change and continuous improvement, with a digital KPI measurement mechanism
When you only introduce a single packaged application, the process itself does not change, and no production equipment connection or cross-system integration is involved, help from the software vendor is usually enough.
How does Winners help a CTO drive digital transformation?
- Assess digital maturity with a parallel digitisation risk assessment, and set a risk-controlled roadmap
- Help select and implement ERP, MES, IoT and AI, building an OT/IT integrated security architecture alongside
- A governance structure for data quality, data security and data sovereignty, and measurable digital metrics
- VP- and director-level consultants lead throughout, never outsourced
- After building the mechanism from scratch, continued support for maintenance and operation through Winners' own RegTech platform Ahura
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