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SwiftMetrics Ontology Foundation

A metrics governance foundation that unifies enterprise data language and makes data understandable, callable, and governable by AI.

SwiftMetrics Ontology Foundation is a core module in the DigitForce enterprise data intelligence matrix. SwiftMetrics builds the semantic ontology layer for enterprise data, making fragmented metrics AI-callable and governable.

  • Semantic ontology
  • Data AI Ready
  • Unified metrics
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Core Value

SwiftMetrics builds the semantic ontology layer for enterprise data, making fragmented metrics AI-callable and governable.。See how the product fits into your data architecture, business workflow and decision-making process through synchronized product visuals and value explanations.

Business-Friendly Intelligent Analytics

Replace dataset-heavy workflows with direct metric access for reporting, alerting, attribution, and AI-assisted analysis that business teams can use.

Efficient Metrics Management

Assemble and consume metrics through APIs, use the semantic metrics layer instead of stacked data tables, and shorten the data pipeline.

Virtualized Metric Computing Engine

Decouple metric definitions from physical data under a data-virtualization model, making metric processing and analysis more flexible.

Product Capability Carousel

Core capabilities are organized around real business scenarios, helping teams close the loop from governance to analysis and operation.

Goal Management

Align business teams around a unified metrics system and connect strategic targets to operational metrics for closed-loop execution.

Intelligent Alerting and Attribution

Automatically detect, alert, and locate abnormal metric changes.

Business Self-Service Analytics

Let non-technical business users query and report directly with trusted, easy-to-understand metrics.

Metrics Copilot Analysis

Combine large-model capabilities with conversational analytics so business users can analyze data through natural interaction.

Flexible Metric Consumption

Connect mainstream BI tools through standard MDX, analyze the metric library directly in Excel, and integrate with third-party or in-house systems through APIs.