Platform Overview

The intelligence layer before your data platform.

Singularity helps enterprises understand, rationalize, prioritize, and blueprint their data transformation before detailed implementation begins.

Core Components

What Singularity is made of.

Base Intelligence

Industry-aligned libraries covering KPIs, subject areas, data products, source patterns, business capabilities, and AI use cases.

Singularity Engine

Scans business inputs, extracts signals, identifies overlaps, classifies KPIs, populates attributes, and generates blueprint outputs.

Report Rationalization Layer

Detects duplicates, overlapping metrics, low-value reports, high-value clusters, and modernization opportunities.

KPI Intelligence Layer

Extracts and standardizes KPI definitions, formulas, dimensions, filters, departments, owners, and decision relevance.

Data Product Blueprinting Layer

Converts KPI and reporting demand into Gold products, fact/dimension structures, semantic-ready models, and priorities.

Traceability Layer

Connects reports and KPIs to Gold objects, Silver subject areas, Bronze mappings, and source systems.

How Singularity Works

From business demand to a validated blueprint.

01

Ingest Business Demand

Collect reports, dashboards, KPI lists, screenshots, metadata, filters, sources, and business context.

02

Extract Intelligence

Identify KPIs, attributes, dimensions, measures, filters, rules, report purpose, and usage patterns.

03

Rationalize Reports

Group similar reports, remove duplication, classify by value, and define modernization candidates.

04

Align to Base Intelligence

Map demand to industry KPI libraries, subject areas, data product patterns, source systems, and AI use cases.

05

Generate Blueprint

Create Gold product recommendations, Silver mappings, source traceability, KPI catalogues, report prioritization, and roadmap.

06

Validate

Confirm definitions, priorities, ownership, source alignment, business rules, and delivery sequence.

Platform Outputs

Implementation-ready deliverables.

Report Inventory & Rationalization Matrix

Structured view of reports, duplicates, overlaps, value, usage, complexity, and modernization priority.

KPI Catalogue

Governed catalogue of KPI names, definitions, formulas, owners, dimensions, filters, dependencies, and priority.

Gold Data Product Catalogue

Reusable analytical data products including facts, dimensions, grain, measures, purpose, and report coverage.

Silver Subject Area Catalogue

Reusable enterprise subject areas, entities, definitions, quality rules, and cross-product relationships.

Source-to-Report Traceability

Lineage-ready map from reports and KPIs to Gold, Silver, Bronze, and source systems.

MVP Roadmap

Phased implementation sequence based on business value, complexity, dependency, data availability, and readiness.

Build with clarity before engineering begins.