Reporting Trust
What Is the Data Value Chain?
Why it matters
Data does not create value just because it has been collected, modelled, reported, visualised, or summarised by AI.
It creates value when the business can move through the full chain:
Capture -> Transform -> Interpret -> Act -> RealiseWhen the semantic layer is shown explicitly, it belongs at the exit of Transform:
Capture -> Transform [Semantic Layer Gate] -> Interpret -> Act -> RealiseThe Semantic Layer Gate is not a sixth stage. It is the control point that decides whether transformed data is ready to become interpreted business meaning.
Reporting Trust matters because the chain can break at any point. A number may be captured accurately but transformed inconsistently. A dashboard may be technically correct but hard to interpret. A clear insight may still fail to change a decision, workflow, or operating rhythm.
What it looks like in a growing business
The Data Value Chain has five stages:
- Capture: record the reality that matters.
- Transform: structure that reality into trusted representations.
- Interpret: understand what the structured information means.
- Act: decide and execute a response.
- Realise: convert the response into business value.
Dashboards, BI, semantic models, and recurring reports mostly sit in Transform. The semantic layer strengthens the exit from Transform by making definitions, dimensions, caveats, and ownership easier to reuse. It can support interpretation, but it does not guarantee it.
That distinction is important. A chart can show what changed, where it changed, when it changed, and how much it changed by. Interpretation often needs extra evidence from calendars, CRM notes, support tickets, product releases, finance adjustments, sales conversations, operational incidents, or stakeholder memory.
How to spot a broken chain
Ask where the business gets stuck:
- Did we capture the right business reality?
- Did we transform it into a trusted representation?
- Can the relevant people understand what the number means?
- Does that understanding change a decision or action?
- Can we see whether the action created value?
If the answer fails at Transform, the issue may be definitions, joins, caveats, ownership, or source-to-report lineage. If it fails at Interpret, the missing evidence may live outside the reporting pipeline. If it fails at Act or Realise, the number may be visible without being connected to ownership, workflow, or commercial outcome.
What to do next
Pick one disputed or high-value metric and trace it across the chain.
Start with where the number is captured, then map how it is transformed, what context is needed to interpret it, which decision it should affect, and what value the business expects to realise.
For related concepts, read what is Reporting Trust, what is the Semantic Layer Gate, and what is Value Governance. For a focused diagnostic, see the Metric Trust Audit.