EnterpriseGovernance - Teaching Dataset
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Synthetic enterprise data-governance snapshot. 12 business units x 8 governance capabilities x 24 months of operational-signal trajectory + an annual self-assessment that disagrees with the signal.

Wholly synthetic. Any resemblance to a real company's data is coincidental.

Files
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- business_units.csv - 12 BUs (4 without dedicated steward)
- capabilities.csv - 8 governance capabilities
- assets.csv - ~6,300 data assets
- capability_scores.csv - operational-signal trajectory
- self_assessment.csv - annual self-rated capability (biased)
- SCHEMA.txt - full schema

What it represents
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A fictional enterprise with 12 business units running through a data-governance maturity program. The Chief Data Officer needs to allocate next year's governance investment across the BUs. Two competing data inputs are available: an operational-signal view (catalog coverage, lineage completeness, certification status, classification coverage) and an annual self-assessment survey filled out by the BU data steward (or the IT director substituting for the BU that doesn't have one).

The two inputs disagree systematically: stewarded BUs over-claim on the self-assessment (justifying continued investment); non-stewarded BUs honestly under-report (surfacing the gap). The dashboard's job is to triangulate.

The dataset's reason for existing
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The bias is the point. A dashboard that uses self-assessment as ground truth produces the wrong investment allocation - exactly the failure pattern the EnterpriseGovernance starter BRD describes in its Business Context.

The chapter exercises that use this dataset are about teaching how to surface the bias visually, not how to hide it.

Deliberate imperfections
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- Self-assessment bias - Stewarded BUs self-rate +0.3 to +1.0 above their operational level. Non-stewarded BUs self-rate honestly or slightly below.
- Asset certification skew - Untagged-asset rate is 77% in non-stewarded BUs vs 42% in stewarded BUs.
- Catalog presence skew - Non-stewarded BUs have ~42% catalog presence vs 78% for stewarded.

Quick start
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cat SCHEMA.txt
head capability_scores.csv
head self_assessment.csv

# Load into Power BI:
# 1. Get Data -> Text/CSV -> select all five CSVs
# 2. Build relationships:
#    assets.bu_id -> business_units.bu_id
#    capability_scores.bu_id -> business_units.bu_id
#    capability_scores.capability_id -> capabilities.capability_id
#    self_assessment.bu_id -> business_units.bu_id
#    self_assessment.capability_id -> capabilities.capability_id

Reference BRD
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The EnterpriseGovernance starter BRD is the BRD for this dataset. It is the highest cross-stakeholder coordination cost of the four starters and the most interesting BRD-authoring exercise as a result.

License and reuse
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Released for teaching use alongside The Defensible Decision. Use freely.