Digital Transformation · Digital Operations · Hard · 35-45 min

Digitizing Industrial Operations (IIoT)

Digitizing Industrial Operations (IIoT) is a hard Digital Transformation digital operations case interview that runs 35-45 min. An energy/heavy-industry operator wants to digitize field operations — sensors (IIoT), predictive maintenance, and a digital twin — to cut unplanned downtime and maintenance cost. A strong answer works through 5 phases: Anchor on value; Assess feasibility; Prioritize use cases; Address the workforce; Sequence a pilot on high-value assets, prove the savings, then scale.

Last updated 2026-09-05

The brief

An energy/heavy-industry operator wants to digitize field operations — sensors (IIoT), predictive maintenance, and a digital twin — to cut unplanned downtime and maintenance cost. Equipment is decades old, connectivity in the field is poor, and the workforce is skeptical of 'digital.' The board wants a credible plan and the value it unlocks. You advise.

How to approach it

  1. Anchor on value — unplanned downtime cost and maintenance spend are the prize; size them
  2. Assess feasibility — sensor retrofit on old equipment, field connectivity, data foundation
  3. Prioritize use cases — predictive maintenance on critical assets first, not a full digital twin on day one
  4. Address the workforce — adoption by field crews is the make-or-break, not the technology
  5. Sequence a pilot on high-value assets, prove the savings, then scale

What a strong answer does

  • Sizes the downtime/maintenance value pool before designing the tech
  • Confronts the practical constraints — retrofitting sensors, poor connectivity, data quality
  • Starts with predictive maintenance on critical assets rather than a grand digital twin
  • Treats field-crew adoption as central to value capture
  • Pilots, proves ROI on critical assets, then scales

Red flags interviewers score down

  • Proposes a full digital twin before proving value on a focused use case
  • Ignores connectivity, sensor-retrofit, and data-quality realities in the field
  • Treats it as a technology install and ignores workforce adoption
  • No link from the IIoT spend to downtime/maintenance savings

Cases are written in each firm's style, written and reviewed by working consultants; they are not the firms' own published cases.

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