A column of unique codes can be persuasive evidence. It looks as though repetition has been removed and a population has been counted cleanly. In manufacturing, that appearance can conceal a question that comes before the count: within what setting was the code intended to identify something? A factory may assign values in a way that is perfectly intelligible locally, while another plant uses the same values for different physical lots. Combining the records changes the setting. It does not automatically change the meaning of the identifier.
I learned this through a mistake I endorsed. In a fictional 2008 review at Tervanex Components, eighty-six codes were treated as eighty-six production lots. Plant context later showed that twenty-six codes each appeared in two plants, while sixty appeared in one. The resulting population was 112 physical lots. The numerical correction was straightforward once the context returned. The leadership problem was that I had already accepted a stronger account of traceability on the basis of the combined table.
## The scope of uniqueness belongs beside the identifier
A code is an agreement about reference. Its usefulness depends on the people and systems sharing enough of that agreement to interpret it. Local users may know the plant, period or process without seeing those details repeated in every record. When the record moves, that shared knowledge may not move with it. The receiving analyst can mistake the absence of visible ambiguity for evidence that no ambiguity exists. A central account then appears more complete precisely because the qualifications have disappeared.
I do not think the answer is to preserve every local convention indefinitely. Organisations need common definitions, and some conventions deserve replacement. The question is what the new account must retain so that earlier work remains understandable. If a code is changed, the relationship between the earlier and later representation may matter to a future review. If two records are brought together, the basis for treating them as one entity must be explainable. Technical consistency is helpful only when it supports that explanation.
The lot example also shows why it is important to distinguish the data error from the physical conclusion. Discovering that our count was wrong did not itself establish a product defect or a safety event. Those matters required the appropriate quality and operating judgement. Equally, the absence of an immediately demonstrated product problem did not rescue the earlier traceability claim. We had to withdraw what the records did not support, while leaving the responsible professionals to examine the consequences within their authority.
This distinction can be uncomfortable in a leadership discussion. One group may want to describe the problem as a harmless naming issue; another may infer a larger failure than the evidence establishes. The CDO's contribution should be to make the actual defect in the account clear enough for both interpretations to be examined. In my case, the plant context was missing and the physical population had been understated. That was sufficient reason to correct the claim without inventing an operational outcome in either direction.
## A common definition needs a relationship with its history
The same concern appeared in a different form during the 2023 parts programme. Its 12400 entries comprised 8300 current definitions, 2100 aliases and 2000 superseded definitions. A smaller catalogue was an attractive objective for users who wanted to find a current selection quickly. Yet those categories did not represent the same kind of surplus. An alias could support a legitimate route to a definition, while a superseded record could be necessary to interpret an earlier transaction or production account.
Darin Veylun argued for simplification, and I took that concern seriously. Retaining history should not become an excuse for making every user navigate an unnecessarily complicated list. We needed to distinguish the active selection experience from the underlying explanation of historical records. That allowed the discussion to move beyond a false choice between deleting context and exposing every historical detail in every task. The design could make current use clearer while preserving relationships for the work that depended on them.
There was an engineering boundary as well. Two labels pointing towards a related definition did not establish that physical components were interchangeable. A data relationship could help an engineer find the relevant material, but it could not substitute for judgement about specification and intended use. I wanted that boundary preserved in the programme's claims. Otherwise a successful exercise in organising records could acquire an unintended promise about the products themselves, simply because the word equivalent sounded convenient in a presentation.
We retained S$3.7 million in programme expense. The account did not attach an invented inventory saving to the improvement in representation. A clearer catalogue may support useful work, but the particular financial or operating consequence needs evidence of its own. I would rather describe the relationship preserved and the user problem addressed than make the programme appear more valuable through a benefit that has not been established. That precision helps a reader understand what my function actually contributed.
## Correction should change the claim as well as the table
The 2008 lot review cost S$640,000. I keep that expense in the narrative because the correction was not a free adjustment to an otherwise successful account. Colleagues had to revisit records and explain why a statement previously accepted by a senior leader was no longer supportable. Changing the count without changing the associated claim would have left the most consequential part of the error intact. The revised narrative needed to say what had become uncertain, not simply display a different total.
That experience informs how I read a data improvement programme. I ask which claims become more defensible, which ones remain open and who owns the next judgement. A programme can complete its technical work while leaving a material interpretive question unresolved. Conversely, an unresolved question does not mean the entire dataset has no useful purpose. The account should describe the intended use precisely enough for another professional to assess the limitation rather than forcing the record into a binary label of good or bad data.
For a manufacturing leader writing a public profile, these distinctions offer stronger material than a catalogue of systems implemented. The reader can see a disagreement, a mistake, an expense and the boundary of personal authority. It also becomes possible to explain how an early experience shaped a later decision without presenting the career as an uninterrupted sequence of correct judgements. The fictional examples here are specific enough to be examined while remaining clearly separate from any real plant or supplier record.
My conclusion is not that every code requires a long explanation wherever it appears. It is that the explanation must remain recoverable and appropriate to the claim being made. A factory dataset is useful because it refers to physical work. When its identifiers travel, the relationship with that work must survive the journey. The CDO's responsibility includes noticing when a cleaner-looking representation has made that relationship harder to see, and accepting the cost of putting the missing context back.