Transform fragmented data into a single source of truth for reliable, compliant analytics.
Free Readiness AssessmentWhen different teams define the same KPI in different ways,
decisions slow down and trust erodes. We implement
governed metrics infrastructure that:
Interact with your data directly via natural language to produce unique insights that would otherwise be missed
Aligns dashboards, marketing reports, and AI workflows on consistent definitions
127.0.0.1:8000
Keeps your metrics auditable and version-controlled for HIPAA, SOC 2, SOX, and other compliance needs
audit-logger.ts
audit.config.json
export type AuditEvent = { userId: string; action: string; details?: Record<string, unknown>; timestamp: Date; }; export function logAuditEvent(userId: string, action: string, details: Record<string, unknown> = {}) : AuditEvent { const event: AuditEvent = { timestamp: new Date(), userId, action, details, }; console.log("AUDIT_LOG:", event); return event; } // ✅ Example usage logAuditEvent("user-123", "LOGIN_SUCCESS", { ip: "127.0.0.1" })
{ "retentionDays": 90, "storage": "encrypted-database", "alerts": ["suspicious_login", "data_export"], "compliance": "ISO27001" }
Reduces SQL written by up to 70% with AI-assisted, human-governed Malloy models
You have multiple teams writing slightly different SQL to answer the same question.
You’ve outgrown Looker and need auditability, extensibility, and developer trust
Your metric definitions live in Notion, Looker, or someone’s head
Dashboards, AI agents, and analysts aren’t aligned on the same truth.
You have multiple teams writing slightly different SQL to answer the same question.
You’ve outgrown Looker and need auditability, extensibility, and developer trust
Your metric definitions live in Notion, Looker, or someone’s head
Dashboards, AI agents, and analysts aren’t aligned on the same truth.
You have multiple teams writing slightly different SQL to answer the same question.
You’ve outgrown Looker and need auditability, extensibility, and developer trust
Your metric definitions live in Notion, Looker, or someone’s head
Dashboards, AI agents, and analysts aren’t aligned on the same truth.
You have multiple teams writing slightly different SQL to answer the same question.
You’ve outgrown Looker and need auditability, extensibility, and developer trust
Your metric definitions live in Notion, Looker, or someone’s head
Dashboards, AI agents, and analysts aren’t aligned on the same truth.
Who are outgrowing Looker or Power BI.
Who are building LLM-powered analytics workflow.
Who are aligning reporting and governance.
Who are modernizing their semantic and dbt layers.
Specialists in complex data modeling and metric governance