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Integrating IoT Data With Business Systems Print

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Making data useful elsewhere.

WHY IT MATTERS

Device data in isolation supports little; combined with business data it supports decisions.

WHAT IT COMBINES WITH

Maintenance and asset systems Inventory Customer records Financial systems Scheduling and workforce systems

WHAT AN EXAMPLE LOOKS LIKE

A sensor reading triggering a work order, assigned to a technician, with parts reserved.

WHY THAT IS THE ACTUAL VALUE

The reading alone changed nothing; the work order did.

WHAT INTEGRATION REQUIRES

Identifiers that match between systems Agreed definitions Reliable delivery Handling of failures on either side

WHAT TO AVOID

Point-to-point connections between every pair of systems Tight coupling, where one failure stops others

WHAT TO PREFER

Events published once, consumed by whoever needs them.

WHAT TO PLAN

What happens when the receiving system is unavailable.

WHAT TO IMPLEMENT

Queuing and retry.

WHAT TO RECONCILE

That actions triggered by data actually occurred.

WHY

A triggered work order that was never created is worse than no trigger.

WHAT TO MEASURE

Whether the system changes outcomes, not whether it collects data.


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