Catalyst Analytics R
Catalyst Analytics R is a reproducible analysis layer for Sustainable Catalyst—built for scenario work,
indicator computation, and auditable exports. It’s designed to pair with Catalyst Data so results remain traceable.
Principle: an analysis isn’t “real” unless someone else can rerun it and get the same answer.
What it is
Catalyst Analytics R is an R-based workflow layer for building decision-quality analysis:
consistent inputs, explicit assumptions, reproducible outputs, and clear documentation.
It favors stability and interpretability over “black box” automation.
- Indicator computation — define, calculate, and version metrics
- Scenario analysis — structured “what-if” exploration
- Exports — tidy outputs and artifacts that travel
- Reproducibility — scripts, methods, and assumptions that can be reviewed
Why it matters
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Reproducibility over “analysis theater”
Slide decks and dashboards often hide assumptions. Catalyst Analytics R makes methods and steps visible so
results can be checked, rerun, and improved. -
Scenario thinking, not fake prediction
Sustainability and finance decisions live under uncertainty. This tool is built for “what-if” reasoning and tradeoffs,
not pretending to forecast the future perfectly. -
Consistent indicators
Indicators are only useful if definitions remain stable and changes are recorded. Analytics R supports consistent
computation and versioned methods. -
Exports that travel
Outputs should be portable: clean tables, clear metadata, and artifacts that can be shared without losing context.
What it does
Catalyst Analytics R focuses on repeatable workflows. Typical components include:
- Ingest — pull measurements from Catalyst Data (or structured exports)
- Transform — tidy pipelines with transparent definitions and units
- Compute — indicators, ratios, indices, and derived metrics
- Test — validation checks to catch missing values and broken assumptions
- Model — scenario runs with stated parameters
- Export — tables + documentation artifacts (for review and reuse)
How it connects to other modules
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Catalyst Data
Provides the shared system of record: entities, sources, indicators, and measurements that keep analytics grounded.
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Global Impact Catalyst
Uses indicator pipelines and reproducible workflows for reporting, evaluation, and scenario work.
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Catalyst Finance
Applied microeconomics and pricing analytics can be implemented as reproducible workflows with explicit assumptions.
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Infrastructure
Analytics R relies on shared standards: provenance, documentation discipline, and durable outputs.
Boundaries
Catalyst Analytics R is not a managed analytics service, not a real-time data feed, and not a replacement for domain judgment.
It’s a reproducible workflow layer designed to keep methods visible and outputs reviewable.