Omni Analytics

Omni Analytics is an AI analytics platform that helps turn governed business data into actionable insights. Its semantic model captures business logic and context, which gives AI a consistent foundation for answering questions related to data. Teams can define metrics and permissions, while asking questions in natural language to explore results. This reduces the need to hire analysts to develop an understanding. 

The software combines AI chat with dashboards, spreadsheets, and point-and-click analysis. It allows teams to personalize how they investigate their data. AI-powered metrics can explain metric changes and generate summaries. As a result, managers can monitor performance without manually viewing reports. This saves them valuable time by automatically highlighting key trends and insights.

What Is Omni Analytics Best For? 

This platform is best known for its 'Data Modeling' through which teams can build and refine reusable metrics while analyzing data. This minimizes the need to complete the entire model upfront. Finance, analytics, and data teams can define metrics in the UI, where they can promote useful calculations to shared models and maintain consistent business logic. This helps them reduce duplicate work and rely on common definitions when making decisions.

How Much Does Omni Analytics Cost? 

Omni Analytics pricing typically ranges between $18 and $50/user/month based on industry benchmarks for modern, warehouse-native business intelligence platforms that offer semantic modeling, and AI-assisted analytics capabilities. 

In addition to the base subscription cost, organizations should keep the following potential hidden costs in mind: 

• Additional Creator/Editor Seats: $60 to $175/user/month
• Implementation And Onboarding: $500 to $3,000 
• AI-Powered Analytics And Advanced Modeling: $600 to $3,000/year 
• Enterprise Security And Add-Ons: $1,200 to $6,000/year 

Reviewers generally mention how Omni Analytics offers reasonable value for money, particularly for small teams and BI users. However, some note that per-user pricing becomes more expensive at the larger scale, especially when users require access. 

Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary. 

Omni Analytics Integrations 

Omni Analytics integrates with: 

• Salesforce
• Notion software
• Slack software
• Gmail
• Databricks

How Does Omni Analytics Work? 

Here’s how you can get started with Omni Analytics after successful onboarding and setup: 

• Log in to the Omni Analytics workspace and access the available analytics content based on your permissions 
• Navigate through the workspace to browse existing dashboards, workbooks, and other shared content 
• Open the relevant dashboards to view charts, tables, KPIs, and other visualizations arranged on a unified canvas 
• Explore workbook analyses to investigate data further, add fields, adjust queries, and create new visualizations 
• Organize frequently used dashboards and content by adding relevant items to your favorites for quicker access 
• Share approved dashboards and analyses with authorized users or deliver results through scheduled reports 

Who Is Omni Analytics For? 

Omni Analytics caters to businesses across various industries and sectors, such as: 

• Media and advertising 
• SaaS 
• Financial services 
• Retail 

Omni Analytics Use Cases

Based on our analysis of Omni Analytics features and user feedback, we identified some of its real-world use cases.

Digital Media And Publishing Companies Consolidating Ad And Audience Data 

Omni Analytics software helps digital publishers and ad-supported media companies consolidate ad server logs, platform spend, audience segments, and conversion data. Analysts define metrics like ROAS and pacing once in the semantic layer. This way, client reporting and internal dashboards always reflect the same numbers. For organizations managing multiple advertiser accounts or subscriber tiers, this is especially useful.

SaaS Companies Aligning Product, GTM, And Finance Around The Same Metrics 

Product, go-to-market, and finance teams calculating ARR, NRR, or churn using different methods often arrive at conflicting numbers in board meetings. Omni Analytics tackles this by letting them define these metrics in a governed semantic model. As a result, each function can query the same underlying logic through dashboards, spreadsheets, or AI chat. This is especially valuable during rapid growth phases, when a company moves from a single BI tool to supporting thousands of internal users. Reviewers particularly appreciate its capability to support different data sources.

Financial Services Firms Embedding Compliant, Client-Facing Analytics

Lenders, fintech, and wealth platforms can use Omni Analytics to give clients or partners direct access to portfolio, delinquency, or approval-rate data. The platform’s row-level security and tenant isolation controls let firms embed dashboards into their own client portals while ensuring that each customer only sees their own data. This approach fits firms that would otherwise spend their engineering time building bespoke reports for each individual client or partner. Reviewers mention how its white-labeled, client-facing dashboards work well for these setups. 

Retail And Consumer Brands Unifying Store, Inventory, And Online Data 

This platform can also prove useful for retail and consumer brands that are operating across physical stores, e-commerce, and third-party marketplaces. They can bring POS, inventory, CRM, and returns data into a single model. Also, factors like gross margin, sell-through, and inventory turnover are defined once and reused across dashboards and spreadsheets. This helps merchandising and FP&A teams work from the same numbers. This helps multi-brand or multi-banner retailers.

Is Omni Analytics Right For You? 

Omni Analytics is a suitable fit for data and analytics teams that need consistent metrics and reliable performance as their organization grows. This is made possible through its self-service analytics, AI-powered workflows, and reusable data models.

For teams handling large volumes of data, the platform is ISO 27001- and ISO 27701-certified and completes annual SOC 2 Type 2 audits. It is also GDPR and HIPAA-compliant. In addition to that, the Business Intelligence space is placing greater emphasis on data quality and AI governance in 2026. Omni Analytics keeps up with its governed semantic layer, where agents get consistent, well-defined context to work with.

They have provided analytical solutions to companies like Game Lounge, Perplexity, BuzzFeed, and BambooHR 

Still unsure about Omni Analytics? Connect with us at (661) 384-7070 for further guidance!