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PLM Pundits

01 · Diagnose · Operations & Data Diagnostics

Know where value leaks before you spend on technology.

A fact-based baseline of your product and supply chain operations: how mature your processes are, how far you can trust your data, and where lead time and cost are lost. Led by a partner, built on evidence.

The problem

Most transformation budgets are set before anyone has measured the problem.

Without a shared baseline, priorities follow opinion and technology gets bought to fix symptoms.

Symptom 01

Opinions instead of evidence

Every function has its own theory of what is broken. Without one baseline, the loudest voice sets the priorities.

Symptom 02

Data nobody fully trusts

Duplicate parts, incomplete supplier records and spreadsheet BOMs undermine every system and AI initiative built on top of them.

Symptom 03

Hidden waiting time

Much of the lead time sits in queues and handoffs between teams, not in the work itself, and it rarely shows up in a system report.

What we do

Four ways we help, delivered as one engagement or on their own.

01

Capability Maturity Assessment

Benchmark process, data, technology and organisation against industry best practice, function by function.

  • Structured interviews and workshops across engineering, sourcing, manufacturing and supply chain
  • Scoring against a staged maturity model with clear evidence for each rating
  • Gap analysis against industry practice and your own strategic ambition
02

Data assessment

Profile the product, supplier and master data your operations run on, and how ready it is for PLM, ERP and AI.

  • Quality profiling: completeness, duplicates, consistency and classification
  • Ownership, governance and lineage across systems
  • AI readiness: which use cases your data can support today, and what it would take for the rest
03

Value Stream Mapping

Trace how a product, a change or an order actually flows from concept to customer.

  • Current-state maps for new product introduction, engineering change and order-to-delivery
  • Lead time, waiting time and rework made visible at every step
  • A future-state map focused on the changes that matter most
04

Quantified improvement case

Turn the findings into a prioritised backlog with the value at stake for each item.

  • Opportunities sized by value, effort and risk
  • Quick wins separated from structural fixes
  • Direct inputs to the technology roadmap and business case

How we engage

A clear path from first workshop to measured result.

  1. 1

    Mobilise

    Agree scope, sponsors and interviewees. Issue data requests early so analysis starts on day one.

  2. 2

    Discover

    Interviews, workshops, floor walks and data profiling across the functions in scope.

  3. 3

    Analyse

    Score maturity, map value streams and size the opportunities with your teams, not behind closed doors.

  4. 4

    Recommend

    Present a prioritised backlog and the case for change to leadership, with a clear next step.

You get
  • Capability maturity scorecard
  • Data quality and AI readiness report
  • Current- and future-state value stream maps
  • Prioritised opportunity backlog with value at stake

Platforms

The platforms behind this practice.

Vendor-neutral by design. We assess the landscape you have today, whatever it includes.

Your ERP and MES

Transaction and shop-floor data for value stream analysis

Your PLM or PDM

Product data quality and change process maturity

Spreadsheets and email

Often where the real process lives, so we look there too

FAQ

Questions leaders ask us.

How long does a diagnostic take?

It depends on scope. A focused assessment of one value stream is much shorter than an enterprise-wide maturity assessment across several sites. We agree scope and timeline up front in the proposal.

Do we need to have chosen a platform first?

No. The diagnostic is vendor-neutral and normally comes before platform selection, so the decision is based on your processes and data rather than a demo.

What do you need from our team?

Time with process owners for interviews and workshops, sample data extracts, and a sponsor who can make decisions on priorities.

Is a data assessment useful if we are not planning AI yet?

Yes. The same data issues that block AI also slow down PLM and ERP projects. Knowing them early saves rework during implementation.

What happens after the diagnostic?

You own the findings. The natural next step is a technology landscape and roadmap, but there is no obligation to continue with us.

Start a conversation

Talk to a partner about Operations & Data Diagnostics.

Share where you are today and a partner will come back with a working view of what to do first. No sales script.