Internet of Things (IoT)

The Internet of Things (IoT) links sensor-equipped physical devices to networks so data can be collected and acted upon.Successful adoption includes integration, security, and operating design, not just tool selection.Data quality and governance directly impact results.

Clear value and use cases improve investment decisions. Defined operating models make risk and cost visible. Standardized data and workflows enable continuous improvement.

• Clear value and use cases improve investment decisions.
• Defined operating models make risk and cost visible.
• Standardized data and workflows enable continuous improvement.

• Define target processes and expected outcomes to align adoption.
• Estimate upfront and ongoing costs separately to plan ROI.
• Validate data integration and security requirements early.
• Assign ownership and governance for steady operations.
• Set KPIs and review cadence after go-live.

Example: Equip factory machines with sensors to collect utilization data for predictive maintenance.Plan data migration and access controls, then train users before go-live.Track KPIs after launch and refine processes based on results.Define incident response steps for stable operations.

• Adoption does not guarantee outcomes without change management.
• More features do not always mean better fit.
• Ignoring operational workload leads to failure.