Methodology
Right-to-left delivery for faster business value.
Singularity begins with reports, KPIs, and decisions, then works backward to define data products, subject areas, source mappings, and roadmap.
The Core Idea
Start from the decision, not the data.
Understand the decisions the data must support — first.
Methodology Overview
Eight steps from discovery to AI scale-out.
Report and Dashboard Discovery
Collect reports, dashboards, extracts, screenshots, metadata, ownership, frequency, and purpose.
KPI Extraction and Prioritization
Extract KPIs, standardize definitions, identify overlaps, and classify by value and decision relevance.
Blueprint Alignment
Align demand to Base Intelligence patterns, KPI libraries, capabilities, and AI use cases.
Gold / Kimball Product Design
Define Gold products, facts, dimensions, grains, measures, and semantic-ready structures.
Silver Subject Area Mapping
Map Gold products to reusable Silver subject areas, entities, definitions, and quality expectations.
Source and Bronze Mapping
Identify sources, entities, ingestion patterns, audit expectations, and Bronze traceability.
Report Modernization Roadmap
Define which reports to retire, merge, rebuild, automate, or prioritize.
AI-Ready Scale-Out
Connect blueprint to AI use cases, semantic search, automation, monitoring, and intelligence capabilities.
Delivery Phases
How an engagement runs.
Phase 0 — Alignment & Scope
Confirm objectives, report scope, stakeholders, validation process, and outcomes.
Phase 1 — Discovery & Assessment
Analyze reports, dashboards, KPIs, business rules, source references, and pain points.
Phase 2 — Blueprint Generation
Generate KPI catalogue, rationalization, Gold blueprint, Silver mapping, and traceability.
Phase 3 — Validation & Prioritization
Validate definitions, ownership, mapping, dependencies, and MVP scope.
Phase 4 — Delivery Enablement
Prepare implementation-ready design packs for engineering, reporting, governance, and AI teams.