AI‑POWERED METRICS LAYER FOR BUSINESS AND DATA TEAMS
Business‑approved metrics for the modern data stack
Duodata is where business and data teams align on metric definitions, then push them into Snowflake, Databricks, dbt Semantic Layer, BI tools, and AI assistants. Define once and reuse everywhere, so dashboards and AI answers stay consistent.
Get Duodata, free forever.
Metrics chaos is slowing every decision
- Excel is not enough to align IT and business on metric definitions.
- Data teams lose around 30% of their time reconciling discrepancies, not analyzing data.
- Manual verification burns millions in productivity at large enterprises.
- Endless reconciliation meetings drain time and energy.
- KPI fights in QBRs and board meetings erode trust in the numbers.
"40% of employees don't trust their company's data"
PwC, 2024
What Duodata does
A business-approved metrics layer that defines metric logic once, governs it centrally, and projects it into your entire data stack.
Capture and govern metric definitions
- Define metrics, slices, reports, and sources in business language.
- Keep ownership, status, and approvals in one place.
Deploy consistent logic into your stack
- Project metric definitions into Snowflake, Databricks, AI and BI tools.
- Avoid drift when new AI agents or dashboards are added.
Document and explain every metric
- Auto‑generate business‑friendly documentation and value driver trees.
- Show how metrics relate and where they are used.
Reports view - browse and search metrics across your dashboards.
How Duodata fits into your metrics workflow
Duodata introduces new capabilities across the entire metrics lifecycle. From discovery to secure deployment.
Discover
AI scans docs, SQL, and tools to surface existing metrics.
Manage
Create a single, business‑approved source of truth for metric definitions.
Document
Auto‑generate, version‑control, and share metric documentation.
Integrate
Connect Snowflake, Databricks, semantic layers, BI tools, and AI agents.
Deploy
Publish production‑ready metric logic into your data and semantic layers.
Secure
Apply SOC 2–ready controls, SSO, and RBAC to your metrics layer.
Discover
AI scans docs, SQL, and tools to surface existing metrics.
Manage
Create a single, business‑approved source of truth for metric definitions.
Document
Auto‑generate, version‑control, and share metric documentation.
Integrate
Connect Snowflake, Databricks, semantic layers, BI tools, and AI agents.
Deploy
Publish production‑ready metric logic into your data and semantic layers.
Secure
Apply SOC 2–ready controls, SSO, and RBAC to your metrics layer.
Where Duodata lands first
Common scenarios where teams deploy Duodata to solve metrics chaos.
Fix your metrics before rolling out AI
AI agents expose inconsistent metric definitions to executives.
Duodata gives AI tools one business‑approved metrics layer to reference.
You roll out AI safely on trusted numbers.
Metrics alignment for platform migrations
Migrating to Snowflake or Databricks risks introducing metric‑definition drift.
Duodata captures current definitions and projects them into the new platform.
Your migration preserves metric definitions across old and new systems.
Stop the KPI fights in QBRs
Different teams calculate the same KPIs differently, leading to trust issues.
Duodata creates a single source of truth with clear owners and approval workflows.
Executives see one consistent number, no more debates.
How Duodata fits into your stack
Control plane in Duodata, with Git and helper agents running in your warehouse or as a managed service. Define once in Duodata, deploy everywhere across your data platform.
Snowflake integration
- Define metrics in Duodata and publish them as Snowflake Semantic Views and tables across your accounts.
- Back every metric with a Git‑versioned OSI / MetricFlow model so dbt projects, BI, and AI assistants all reuse the same logic.
- Plug into catalogs and governance tools while the Duodata Agent, running in your Snowflake account, keeps Snowflake and your metric layer in sync without drift.
Select Platform
Open semantic ecosystem
Duodata is aligned with the Open Semantic Interchange (OSI) initiative and MetricFlow, not a proprietary semantic format.
- Stores metric definitions as OSI / MetricFlow YAML in Git
- Built on OSI, the vendor-neutral standard backed by Snowflake, Databricks, dbt Labs, and 30+ industry leaders
- Keeps metrics portable across warehouses, BI tools, and AI agents
Delivered with trusted implementation partners
Work with Duodata and specialist system integrators to roll out your governed metrics layer.
Implementation
Specialist SIs implement Duodata alongside your data and semantic layer.
Workshops
Partners run business-first metrics workshops to align KPIs before AI and new dashboards.
Your SI or ours
We collaborate with your existing SI or connect you with partners like Data Wranglers, Eon Collective, INFOMOTION, and Nexus Data.
Talk to us about your metrics problem
Whether you're a business metric owner or a data platform leader on Snowflake, Databricks, or something else, share a bit about your role and your metrics challenge. We'll review 2-3 of your most painful metrics and show how they look in Duodata.