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Practical guides for better transformation decisions

These resources are designed to be useful before a sales conversation. Use the filters to narrow the library; every resource also remains available through a normal crawlable link.

Illustrative electronics operator inspecting a circuit board on an assembly line

How this area is organized

Choose the route that matches your decision

01

Roadmaps and checklists

02

Systems and architecture

03

Measurement and business cases

04

Data definitions and governance

Browse the library

9 focused resource pages

Each page has a specific purpose, operating boundary, and next step. Open the one closest to the decision in front of you.

01

A practical manufacturing digital transformation roadmap

Start with one operational decision or workflow, establish its baseline and ownership, then sequence data, integration, process, adoption, and governance dependencies. A roadmap is a decision record that changes as evidence improves—not a technology shopping list.

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02

Manufacturing cloud migration checklist

A manufacturing cloud migration should inventory the business service, application, data, identities, interfaces, licenses, devices, network paths, backups, recovery needs, support owners, and factory continuity constraints before scheduling a move.

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03

ERP vs MES vs SCADA: responsibilities and data flow

Enterprise resource planning (ERP) usually coordinates commercial and planning records; a manufacturing execution system (MES) coordinates production execution and genealogy; supervisory control and data acquisition (SCADA) supervises industrial processes and equipment data. Actual product boundaries overlap, so verify capabilities and ownership.

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04

How to calculate automation ROI without counting capacity as cash

Calculate released hours first, then apply an explicit realization percentage only to the portion that can genuinely change cash expenditure. Add separate non-overlapping cash savings, subtract recurring costs, and show one-time cost, payback, and first-year return using stated assumptions.

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05

OEE data quality: define the inputs before trusting the percentage

Overall equipment effectiveness (OEE) combines availability, performance, and quality. The percentage is only interpretable when planned production time, stop rules, ideal cycle time, total count, good count, and comparison context are defined consistently.

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06

Cloud vs edge for manufacturing: place each workload by operating need

Keep time-sensitive or autonomy-critical functions close to the process; use cloud services where centralized scale, collaboration, managed capability, or cross-site access offers value. Many manufacturing architectures are hybrid. Placement is a workload-by-workload decision.

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07

Manufacturing cloud governance checklist

Cloud governance is the recurring work of assigning owners, limiting access, controlling environments and changes, monitoring cost and risk, testing recovery, managing exceptions, and keeping operating responsibilities current.

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08

Automation prioritization worksheet

Score candidate workflows on evidenced value, implementation effort, operational risk, data readiness, and adoption readiness. Treat the score as a conversation aid: a high total does not overrule an unacceptable safety, compliance, continuity, or ownership risk.

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09

Manufacturing technology glossary

Use these definitions as a starting point, then document the meaning used in your organization. Product vendors may use the same label for different boundaries.

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01

Start with one process

Which workflow currently costs your team the most time?

Bring one normal example and one exception. Use them to frame the systems, decisions, controls, and evidence a sensible next step needs.

Discuss your operation