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Build a Custom Business Intelligence Dashboard Using AI in Minutes

Turn a plain-English description of your Business Intelligence Dashboard​ into a production-ready build, from design to deployment, in minutes. No code needed.

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Emergent Key Features for Building a Business Intelligence Dashboard

Governed dashboards as software your whole organisation can open, without a seat licence for every person who needs to read them.

Warehouse Native Queries


Generated code queries BigQuery, Snowflake and Postgres directly with sensible aggregation, so performance holds on tables your business actually has.

One Definition per Metric


Measures are calculated in a single place and reused, which prevents the drift that happens when each dashboard implements revenue slightly differently.

Genuine Self Serve


Filters, groupings and drilldowns are functional, so a stakeholder answers the follow up question themselves instead of filing a request.

Multi Tenant Embedding


Dashboards can be embedded in your product scoped to each customer's data, turning internal BI work into a feature you ship.

Row Level Access Control


Permissions can restrict what each role or region sees from the same build, so governance does not require maintaining parallel dashboards.

No per Viewer Licensing


Access is a web app rather than a seat, which means giving the whole company data access is not a budget conversation.

Business Intelligence Dashboard Use Cases You Can Build in Minutes

Self Serve Exploration
Self Serve Exploration

Let People Answer Their Own Questions

Users pick a metric, a dimension to group by and a date range, then see the result as a chart and a table with drilldown to record level. Saved views mean they return to their own analysis.

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window.awbMockup = { selfServeExploration: "Build a self serve BI dashboard on a warehouse table where users pick a metric, a dimension to group by and a date range, then see the result as a chart and a table with drilldown to record level, saved views they can return to, and an export of the current selection.", semanticLayer: "Build a governed metrics dashboard where every measure has a single defined calculation, showing the metric catalogue with its definition, owner and source table, alongside dashboards that consume those definitions so a change to a metric updates consistently everywhere it appears.", embeddedCustomerAnalytics: "Build an embedded analytics dashboard for customers to view inside your product, showing only their own data through a tenant identifier, with usage metrics, trends against their prior period, benchmark comparison against anonymised averages, and styling that matches the host application.", executiveBiSummary: "Build an executive BI dashboard summarising company performance from the warehouse across revenue, retention, unit economics and efficiency, showing each against target and prior period, with automatic callouts naming the largest movers and a drilldown from every headline into its underlying detail."};

Semantic Layer
Semantic Layer

One Definition for Every Metric

A governed catalogue where each measure has a single calculation, owner and source table, with dashboards consuming those definitions. Change a metric once and it updates consistently everywhere it appears.

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window.awbMockup = { selfServeExploration: "Build a self serve BI dashboard on a warehouse table where users pick a metric, a dimension to group by and a date range, then see the result as a chart and a table with drilldown to record level, saved views they can return to, and an export of the current selection.", semanticLayer: "Build a governed metrics dashboard where every measure has a single defined calculation, showing the metric catalogue with its definition, owner and source table, alongside dashboards that consume those definitions so a change to a metric updates consistently everywhere it appears.", embeddedCustomerAnalytics: "Build an embedded analytics dashboard for customers to view inside your product, showing only their own data through a tenant identifier, with usage metrics, trends against their prior period, benchmark comparison against anonymised averages, and styling that matches the host application.", executiveBiSummary: "Build an executive BI dashboard summarising company performance from the warehouse across revenue, retention, unit economics and efficiency, showing each against target and prior period, with automatic callouts naming the largest movers and a drilldown from every headline into its underlying detail."};

Embedded Customer Analytics
Embedded Customer Analytics

Ship Analytics Inside Your Product

An embedded dashboard scoped to each customer through a tenant identifier, showing their usage, trends against their prior period and benchmark comparison, styled to match the host application.

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window.awbMockup = { selfServeExploration: "Build a self serve BI dashboard on a warehouse table where users pick a metric, a dimension to group by and a date range, then see the result as a chart and a table with drilldown to record level, saved views they can return to, and an export of the current selection.", semanticLayer: "Build a governed metrics dashboard where every measure has a single defined calculation, showing the metric catalogue with its definition, owner and source table, alongside dashboards that consume those definitions so a change to a metric updates consistently everywhere it appears.", embeddedCustomerAnalytics: "Build an embedded analytics dashboard for customers to view inside your product, showing only their own data through a tenant identifier, with usage metrics, trends against their prior period, benchmark comparison against anonymised averages, and styling that matches the host application.", executiveBiSummary: "Build an executive BI dashboard summarising company performance from the warehouse across revenue, retention, unit economics and efficiency, showing each against target and prior period, with automatic callouts naming the largest movers and a drilldown from every headline into its underlying detail."};

Executive BI Summary
Executive BI Summary

Give Leadership the Warehouse in Plain Terms

Company performance across revenue, retention, unit economics and efficiency, each against target and prior period, with automatic callouts naming the largest movers and drilldown into the detail behind them.

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Give Leadership the Warehouse in Plain Terms

Company performance across revenue, retention, unit economics and efficiency, each against target and prior period, with automatic callouts naming the largest movers and drilldown into the detail behind them.

Build a custom business intelligence dashboard in 4 simple steps

Turn your warehouse into governed, explorable dashboards without per seat BI pricing or a queue for every new request.

Define the measures and dimensions you report on

Start with the metric definitions your business agrees on and the dimensions you slice by. Emergent builds a consistent calculation layer around them, so revenue means the same thing in every view rather than being redefined per report.

Connect your warehouse or database

Link BigQuery, Snowflake, Redshift or Postgres, including the models your team already maintains. Emergent reads the schema, writes efficient queries against large tables, and respects the transformations you have built rather than duplicating them.

Change a definition once and everywhere

Ask to alter how a measure is calculated, add a dimension or expose a new drilldown, and every dashboard consuming that definition updates. Governance changes stop requiring a project.

Publish self serve views to the business

Deploy dashboards with filters and drilldowns that stakeholders can use themselves, on one link with access rules. Requests for a slightly different cut stop arriving in your queue because the view already answers them.

Why choose Emergent?

Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.

ComparisonOther Tools
Built forDemos and MVPsProducts you keep growing
What you getFront end shell onlyFull stack, wired end to end
Backend and databaseSet it up yourselfBuilt and connected for you
CustomizationSurface level stylingDeep workflow control
Integrations and APIsManual glue workConnected from a prompt
Code ownershipLocked to the platformClean code you can export
Time to launchWeeks of patching and setupLive the same day

Pick the Pricing Plan That Works for You

Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.

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Free
Get started with essential features at no cost
$0 / month
10 free monthly credits
Unlock all core platform features
Build elegant Web and Mobile experiences
Instant access to the most advanced models
One-click LLM integration
Standard
Perfect for first-time builders
Annual
$20 / month
Everything in Free, plus:
Build web & mobile apps
Private project hosting
100 credits per month
Purchase extra credits as needed
GitHub integration
Fork tasks
Pro
Built for serious creators and brands
Annual
$200 / month
Everything in Standard, plus:
1M context window
Ultra thinking
System Prompt Edit
Create custom AI agents
High-performance computing
750 Monthly Credits
Priority customer support
Enterprise
For large organizations with custom needs
Custom
Everything in Business, plus:
User-Level Credit Limits
Audit Logs
Self Hosted Database Support
Priority SLA and Support
User Groups
Deploy apps in your own cloud (VPC setup)
Credit Usage Reports and Analytics Dashboard
Enterprise
For Businesses with custom needs
Custom
Everything in Pro, plus:
Role-Based Access Control (RBAC)
Single sign-on (SSO)
Shared Team Workspaces
Real-time Co-Editing & Coworking

Frequently Asked Questions

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