> For the complete documentation index, see [llms.txt](https://experience-digital-transform.gitbook.io/experience-digital-transformation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://experience-digital-transform.gitbook.io/experience-digital-transformation/analytics/technical-specifications/12.-reference-use-cases-appendix.md).

# 12. Reference Use Cases (Appendix)

Appendix — reference use cases for the Analytics Building Block: proactive social support, predictive assistance for SMEs, and climate NDC inventory reconciliation and tracking.

{% hint style="success" %}
💡 **Same Building Block, three domains** — social protection, SME risk, and climate — with zero domain-specific redesign.
{% endhint %}

The Analytics Building Block serves as the engine for transforming public administration from reactive processes to anticipatory, proactive service delivery and monitoring.

## 12.1 Proactive Social Support (Digital Family Map)

The Analytics BB processes tokenised, multi-sectoral data (income, health, education, housing) to dynamically calculate a household vulnerability index. Using multi-dimensional algorithmic scoring, the system identifies specific socio-economic deficits. When a household falls below a predefined welfare threshold, the Analytics BB automatically triggers downstream systems to proactively assign targeted state support without requiring the citizen to apply.

## 12.2 Predictive Assistance for SMEs

By aggregating anonymised financial, tax and registry data, the Analytics BB generates predictive risk models for Small and Medium Enterprises (SMEs), enabling government to offer customised non-financial support or targeted intervention before an enterprise faces critical operational risk.

## 12.3 Climate: NDC Inventory Reconciliation and Tracking

When deployed for a climate use case, the Analytics BB reconciles national greenhouse-gas inventory data with independent observed estimates and powers Nationally Determined Contribution (NDC) tracking. The generic capabilities map directly onto the climate data workflow:

* **Multi-source ingestion.** For each analytical unit (sector × zone × sub-cell × cycle) the Building Block stores a bottom-up domestic estimate (national activity data × emission factors) and one or more observed estimates (satellite / Earth-observation, facility models, on-stack monitors) as separate SourceEstimate rows in the Silver layer.
* **Reconciliation with governed review.** The Building Block quantifies and explains the gap between sources against an agreed threshold; divergent cells are flagged for governed human review, and an officer designates the authoritative source (or a documented blend) as "official versus supplementary", recorded append-only and reversibly.
* **Validated inventory in Gold.** The selected values compose into a validated inventory data mart with full provenance and lineage on every cell, suitable for MRV / ETF transparency reporting.
* **Analytics and tracking.** OLAP dashboards and the query engine deliver NDC-implementation tracking, emissions-gap analysis and cross-strategy views; geospatial support enables spatial analysis of Earth-observation layers.
* **Proactive monitoring.** Because observation runs continuously, a shift in an observed figure re-flags a cell via the proactive-trigger module, reopening it for review rather than waiting for the next reporting cycle.
* **Recommend, never decide.** Any AI or engine recommendation (source selection, mitigation options, anomaly flags) is advisory; the authoritative value always comes from a logged human decision, preserving national sovereignty over the data.

Traceability, per anchor use case, is captured by linking each business objective to its required data, data owners, quality constraints, APIs and expected analytical output — so the deployment remains implementable and testable.


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