GIZ ANALYTICS
From high-volume aggregation to raw transactions. Traced in sub-seconds.
Sub-second multidimensional pivoting and 1:1 transaction provenance powered by StarRocks distributed OLAP lakehouse and declarative semantic metrics.
Giz Analytics quantity analysis
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Giz Analytics quantity analysis
A bar chart comparing quantities in production-planning data, to be reconciled with aggregation rules and source records. 2026-09-14 · Product screen.
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Check the capture date and sample-data label, then select an image to inspect it. Operating performance, security requirements and customer outcomes are separate acceptance checks.
Giz Analytics analysis setup
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Giz Analytics analysis setup
The data, filter and metric controls in Analysis Studio. This capture shows configuration with an empty result. 2026-09-13 · Sample data.
Explore this capability →Giz Analytics quantity analysis
Enlarge view ↗Giz Analytics quantity analysis
A bar chart comparing quantities in production-planning data, to be reconciled with aggregation rules and source records. 2026-09-14 · Product screen.
Explore this capability →When metrics change, teams must drill down into raw evidence immediately
When sales or inventory shortages fluctuate, legacy BI tools offer only static, pre-aggregated summaries. If entity relationships are joined improperly, identical revenues or costs are counted multiple times, distorting operational reality. Tracking down which warehouse suffered delivery delays previously required filing SQL extraction tickets and waiting for days. Trustworthy decision-making demands strict metric definitions governed at the system level and high-velocity OLAP engines that slice down to raw transactions in seconds.
Giz Analytics combines StarRocks distributed OLAP lakehouses with code-defined semantic metric models, delivering an enterprise analytics platform that slices, dices, and pivots hundreds of millions of transaction rows with sub-second latency.
5 Core Engineering Specifications for Multidimensional Analytics & Semantic OLAP
| Engineering Domain | Giz Analytics Architecture | Operational & Business Value |
|---|---|---|
| StarRocks Vectorized Query Engine | Distributed MPP architecture with C++ SIMD vectorized operations | Computes multidimensional aggregations over hundreds of millions of rows in sub-seconds |
| Code-Defined Semantic Model (SSOT) | Declarative metric definitions in YAML/JSON with transitive dependencies | Eliminates metric discrepancies and formula drift across operational dashboards |
| Virtualized High-Density Pivot Grids | @revolist/revogrid-pro virtual scrolling renderer |
Smooth 60fps scrolling over 100,000+ multidimensional cells without browser memory leaks |
| 1:1 Transaction Provenance | One-click drill-down from aggregated pivot cells to raw PO lines and orders | Immediately identifies affected suppliers, orders, and batches for actionable follow-up |
| Data Integrity & Late-Arriving Facts | Native CDC ingestion and automated late-arriving fact reconciliation | Preserves exact historical metric consistency during retrospective ledger corrections |
Real-Time Analytics Workflow Connected to Daily Operations
- Metric Standardization & Semantic Modeling: Define core revenue, lead time, and safety-stock formulas in model metadata while optimizing StarRocks partition and bucketing keys.
- Multidimensional Pivoting & Exploration: Assemble time-series curves, geographical maps, and hierarchical pivot grids against unified enterprise metrics.
- Raw Record Provenance Verification: Click suspicious cells to inspect exact source ledger records, verifying zero numerical variance against canonical balance sheets.
- Direct Action Dispatch: Transition insights directly into operational workflows in Giz Apps or Giz SCM to resolve shortages and scheduling bottlenecks.
Accuracy & Performance Acceptance Criteria
- Sub-Second Query Latency: Verify P95 query execution under 1 second across 10M+ transaction datasets during interactive pivoting and filtering.
- 100% Metric Reconciliation: Confirm zero numerical discrepancies between source transactional ledgers and semantic OLAP aggregated metrics.
- Client Pivot Stability: Validate responsive, leak-free rendering when navigating hierarchical pivot grids exceeding 100,000 cells.
Giz SCM Supply Chain · Giz Apps Business Applications · Sovereign AI Infrastructure
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