Omni

Omni is an AI analytics platform that helps business and data teams explore company data, answer questions, build dashboards, and create reports.

Users can ask questions in natural language. Omni then analyzes governed company data using existing business metrics, permissions, and data definitions.

The platform combines AI analytics, business intelligence, semantic modeling, reporting, and embedded analytics in one environment.

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Business Problem Solved

Business teams often depend on data teams for reports, dashboards, and answers to everyday data questions.

This can slow down analysis and increase the workload on analytics teams.

Omni helps companies:

• Give business users direct access to governed data
• Reduce manual reporting
• Keep metrics and business definitions consistent
• Monitor important business data
• Build dashboards faster
• Use AI without bypassing existing data permissions

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Key Features

AI Analytics

Ask business questions in natural language and receive answers based on connected company data.

Omni Agent

Analyzes data, creates queries, builds visualizations, and supports dashboard creation.

Governed Semantic Model

Uses defined business metrics, dimensions, relationships, and permissions across analytics and AI.

AI Dashboard Creation

Create and refine dashboards, charts, and analysis using natural-language instructions.

Modeling Agent

Helps data teams build and maintain semantic models.

Automated Analytics

Run recurring analysis and monitor defined business conditions.

AI Monitoring and Evaluation

Track AI usage and test responses before changes are released.

Embedded Analytics

Add dashboards, reporting, and AI-powered analytics to customer-facing products.

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Workflows Supported

Business Intelligence

Business Question → AI Analysis → Insight → Decision

Business users ask questions about company data and receive governed answers and visualizations.

Reporting and Dashboards

Business Need → Data Analysis → Dashboard → Monitoring

Teams create and maintain dashboards for recurring business reporting.

Data Modeling

Data Source → Semantic Model → Business Metrics → Governed Analytics

Data teams define the business logic used across reports and AI analysis.

Business Monitoring

Metric → Scheduled Analysis → Condition Check → Alert or Report

Recurring AI analysis helps teams monitor important business changes.

Embedded Analytics

Product Data → Analytics → Embedded Dashboard or AI Experience → Customer Insight

Product teams can add analytics directly to their applications.

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Where Omni Fits in the Workflow

Business Analytics

Business user asks a data question
→ Omni identifies the relevant governed metrics
→ company data is analyzed
→ the result is returned as an answer, chart, or dashboard
→ the user uses the insight to support a business decision

Data Team Workflow

Company data is connected
→ data teams define metrics and relationships
→ Omni uses this semantic model across analytics and AI
→ business users explore data independently
→ data teams maintain governance and data quality

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Primary Users

• Data teams
• Analytics teams
• Business teams
• Product teams
• Analytics engineers
• Data modelers

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AI Capabilities

Analyze

Analyzes governed company data and business metrics.

Generate

Creates queries, charts, dashboards, summaries, and formulas.

Visualize

Turns data analysis into charts and dashboards.

Search and Retrieve

Finds relevant information across connected data sources.

Model

Supports the creation and maintenance of semantic data models.

Monitor

Runs recurring analysis and tracks business conditions.

Automate

Automates repeatable analytics and reporting tasks.

Assist Decision-Making

Helps business users interpret company data and make informed decisions.

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Key Use Cases

Natural-Language Business Analytics

User: Business teams
Workflow: Business Intelligence → Data Analysis

Users ask questions about company performance in natural language.

Business Outcome: Reduces reliance on data teams for routine analysis.

AI Dashboard Creation

User: Business and data teams
Workflow: Reporting → Dashboard Creation

Users create queries, charts, and dashboards through natural-language instructions.

Business Outcome: Reduces manual dashboard creation and reporting work.

Recurring Business Monitoring

User: Business and analytics teams
Workflow: Performance Monitoring → Alerts and Reporting

Omni runs scheduled analysis and monitors defined business conditions.

Business Outcome: Reduces repeated manual reporting.

Semantic Data Modeling

User: Data and analytics teams
Workflow: Data Management → Analytics Modeling

The platform helps define metrics, relationships, and business context.

Business Outcome: Keeps business definitions consistent across AI and BI.

Embedded Analytics

User: Product teams
Workflow: Product → Embedded Analytics

Companies can add governed dashboards and AI analytics to their own products.

Business Outcome: Gives customers direct access to analytics inside existing applications.

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Ideal For

Omni is relevant for organizations that:

• Want business users to analyze company data directly
• Need AI analytics with strong governance
• Want to reduce manual reporting
• Need consistent business metrics across teams
• Want dashboards and AI analytics in one platform
• Need recurring data monitoring
• Want embedded analytics in customer-facing products
• Use modern cloud data platforms

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Business Outcomes

Faster Business Insights

Business users can access and analyze company data more quickly.

Reduced Manual Reporting

Automates recurring analytics and reporting tasks.

Consistent Business Metrics

Uses the same governed definitions across AI and traditional analytics.

Greater Data Team Efficiency

Reduces routine requests while data teams maintain control over business logic and governance.

Governed AI Analytics

AI analysis follows existing permissions and data access controls.

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Integrations

Snowflake
Google BigQuery
Databricks
Amazon Redshift
PostgreSQL
MySQL
Microsoft SQL Server
ClickHouse
Amazon Athena
dbt
Slack
ChatGPT
Claude
Cursor
MCP
APIs

 

Solution Type: AI Analytics / Business Intelligence

Primary Workflow: Business Intelligence → Data Analysis → Business Insight

Secondary Workflows: Dashboard Creation, Reporting, Data Modeling, Business Monitoring, Embedded Analytics

AI Capabilities: Analyze, Generate, Visualize, Search / Retrieve, Model, Monitor, Automate, Assist Decision-Making

Primary Business Need: Give business teams governed access to company data while reducing manual analytics and reporting work.