Thought leadership

Insights

Short, practical perspectives written for operations and business leaders in manufacturing organizations.

Manufacturing Analytics

Why manufacturing analytics fails without an operating question

Most analytics programmes start with data availability. The ones that create value start with the decision a plant leader must make on Monday morning.

6 min read

Power BI for Manufacturing

Designing Power BI models that survive the shop floor

Semantic modelling, conformed dimensions and disciplined DAX are what separate a dashboard from a reporting platform.

7 min read

Digital Transformation

Digital transformation is an operating model change

Technology is rarely the constraint. Ownership, data definitions and decision rights are where transformation programmes stall.

5 min read

Supply Chain KPIs

The seven supply chain KPIs that actually move margin

A focused KPI set beats a hundred metrics nobody owns. Here is the framework I use with manufacturing clients.

6 min read

Operations Strategy

Connecting shop floor performance to the P&L

Operational excellence becomes a board conversation only when improvements are expressed in financial outcomes.

8 min read

Customer Experience Analytics

What complaint data tells you about your operations

Customer complaints are the cheapest operational audit available to a manufacturer — if you analyse them systemically.

5 min read

Predictive Maintenance

Predictive maintenance: start with failure history

Before sensors and models, most plants have years of unexploited maintenance and repair records.

6 min read

Lean Manufacturing

Lean and analytics are the same discipline

Both are about seeing reality clearly. Analytics simply scales the gemba walk across the enterprise.

4 min read

Industrial AI

Where industrial AI is genuinely ready

A pragmatic view of the manufacturing use cases where AI delivers today, and the ones still worth waiting on.

7 min read

Engineering + Analytics

The advantage of an engineer who can model data

Domain depth changes the questions you ask of a dataset — and the credibility of the answers you present.

5 min read

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