Industrial Automation & Robotics
Industry 4.0, IoT & Process Data skills assessment
Digital manufacturing specialists connect machines to data. This scorecard covers connectivity, data collection, dashboards, analytics and cybersecurity.
- 10 skills to score
- 1–10 scale on every skill
- 5 starting levels
The 10 Industry 4.0, IoT & Process Data skills you can score
These are the default Industry 4.0, IoT & Process Data skills in SkillScorer. Each one is scored from 1 to 10 for every technician, and you can edit, remove or add skills at any time.
Industrial IoT Devices and Gateways
Selects and configures industrial IoT devices and gateways to collect data reliably from machines.
Data Historians and Time-Series Data
Uses historians and time-series databases to store and retrieve process data efficiently.
MES and Production Reporting
Uses manufacturing execution systems to track production, downtime and quality in real time.
Condition Monitoring and Predictive Maintenance
Applies vibration, temperature and other data to predict failures before they occur.
Dashboards and OEE Reporting
Builds dashboards and OEE reports that show operators and managers where losses occur.
Data Analysis and Insight Generation
Analyses production data to find patterns and turn them into practical improvements.
Cloud and Edge Computing Awareness
Understands when to process data at the edge or in the cloud and the trade-offs.
OT/IT Cybersecurity Practices
Applies segmentation, access control and patching practices for connected operational systems.
Standards and Interoperability
Uses standards such as OPC UA and MQTT so systems and vendors can share data.
Change Management with Operators
Involves operators early and explains how new tools help them do their jobs.
Levels included with Industry 4.0, IoT & Process Data
Industry 4.0, IoT & Process Data starts with 5 levels, which SkillScorer calls “Grade” for industrial automation & robotics, so technicians can be grouped and compared fairly. Rename, reorder or replace them at any time.
- Technician
- Analyst
- Engineer
- Senior Engineer
- Digital Manufacturing Lead
How Industry 4.0, IoT & Process Data works in SkillScorer
Score
Each technician in a team is scored on the Industry 4.0, IoT & Process Data skills in the Skills Matrix: tap a cell, type a score, and it saves itself.
Compare
Rank technicians, compare two side by side, or compare your teams against each other to see exactly where the strengths and gaps are.
Track
Scores are kept year after year, so you can see who is improving and which Industry 4.0, IoT & Process Data skills need attention. Reports also follow each lead engineer's team.
Industry 4.0, IoT & Process Data scorecard: common questions
What skills does the Industry 4.0, IoT & Process Data scorecard include?
SkillScorer's Industry 4.0, IoT & Process Data scorecard covers 10 skills: Industrial IoT Devices and Gateways, Data Historians and Time-Series Data, MES and Production Reporting, Condition Monitoring and Predictive Maintenance, Dashboards and OEE Reporting, Data Analysis and Insight Generation, Cloud and Edge Computing Awareness, OT/IT Cybersecurity Practices, Standards and Interoperability and Change Management with Operators. Each one comes with a written description of what it measures, and you can edit, rename, remove or add skills to suit your organisation.
How are technicians scored in Industry 4.0, IoT & Process Data?
Every technician is scored from 1 to 10 on each skill (1 = Poor, 5 = Average, 10 = Elite), one team and year at a time. Scores autosave in the Skills Matrix, and the 18 built-in reports turn them into rankings, radar charts, skill gaps and year-on-year trends.
Which levels come with Industry 4.0, IoT & Process Data?
Industry 4.0, IoT & Process Data starts with these levels (called “Grade” in the app): Technician, Analyst, Engineer, Senior Engineer and Digital Manufacturing Lead. They are just a starting point, so you can rename, reorder or replace them.
Can I change the Industry 4.0, IoT & Process Data skills and wording?
Yes. The skills, levels and labels are all editable per organisation. In industrial automation & robotics the app talks about technicians, teams and lead engineers, and you can change any of those words too.
Score Industry 4.0, IoT & Process Data with SkillScorer
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