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Narrative BI - AI-Powered Business Intelligence & Reporting

Narrative BI uses AI to automatically generate natural language reports, insights, and visualizations from your business data.

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ℹ️

WhatAI Decision Box

Best for:

Business users, executives, and teams that need quick, understandable insights from data without deep technical skills.

Not for:

Highly customized statistical modeling, real-time operational dashboards with extreme complexity, or projects requiring pixel-perfect report design.

⇆ Often compared with

ℹ️ WhatAI Field Note

  • The natural language narratives are most valuable when the underlying data is clean and well-structured.
  • AI-generated insights should be treated as starting points — critical business decisions still benefit from human review and domain expertise.

Narrative BI is an AI platform that transforms raw data into clear, narrative-style reports and insights. It automatically analyzes datasets, generates human-readable summaries, highlights key trends, and creates visualizations, allowing non-technical users to understand business performance quickly.

Features and Capabilities

Narrative BI connects to various data sources (databases, spreadsheets, BI tools), automatically detects patterns, generates written narratives, creates charts and dashboards, and answers natural language questions about your data. It supports automated reporting, anomaly detection, trend analysis, and export to multiple formats. The platform emphasizes ease of use for business users while providing enough depth for analysts. Key strengths include natural language generation and the ability to produce executive-level summaries without manual report building. Usage is subscription-based with limits on data volume, AI generations, and connected sources.

Discuss Narrative BI

Narrative BI is an AI business intelligence tool that turns data into easy-to-understand narrative reports, insights, and visualizations for faster decision-making.

Join the conversation below to share your experience, ask questions, post reviews, suggest new features or integrations, or discover similar AI analytics tools. All feedback is welcome.

About Narrative BI

Narrative BI assists business users by automating the analysis and reporting process. The workflow involves connecting data sources, letting the AI scan and understand the data, generating narrative reports or answering specific questions, reviewing the output, and sharing or exporting insights. It is particularly useful for teams that need regular reports without dedicated analysts. Additional functions include scheduled reports and anomaly alerts. Plans differ in the number of data sources, report frequency, and advanced AI capabilities.

Use Cases

Executives get automated performance summaries with Narrative BImarketing teams analyze campaign data using Narrative BIfinance departments generate monthly reports via Narrative BIoperations teams monitor KPIs with Narrative BInon-technical users explore data through natural language questions on Narrative BI.

Pricing

Starter

$0

  • • ~$49–$99DiscountedLimited data sources
  • • basic AI generations

Pro

$0

  • • ~$199–$499DiscountedHigher volume
  • • more sources
  • • advanced narratives

Enterprise

$0

Custom

$0

Custom

$0

Unlimited

$0

  • • or high volume
  • • team features
  • • dedicated support
  • • custom integrations

Pricing varies by plan and region — see current pricing.

Plan features change — last updated: 2026-04-13.

Details

Categories: Analytics
Skill Level: beginner
Access Methods: browser, email, slack

Tags

narrative biai business intelligenceai reporting toolnatural language analyticsai data storytellingnarrative bi aiautomated business reportsai insights generatorbi tool with aiai data narrative

Narrative BI Community Discussions

Explore community discussions. Ask and answer questions on Narrative BI to grow and learn together.

AgencyAnalyst_Cai · Narrative BI Analytics

Narrative BI sends data stories to Slack automatically and my clients stopped asking me to explain what the numbers mean

The client communication problem this solves is specific and I want to describe it precisely. I manage paid media for several clients. Every week there are performance shifts in the data that clients notice and ask about. Revenue is down. Clicks are up but conversions dropped. The numbers say something happened. What happened? Explaining that requires looking at the data, forming a narrative, and communicating it in plain language. For every client every week that is a meaningful chunk of time. Narrative BI's Automated Data Storytelling generates the narrative automatically. It connects to Google Analytics, Google Ads, HubSpot and the other sources, reads the data, identifies what changed and writes an explanation in plain English. Not a chart with labels. An actual sentence-level explanation of what the data shows and why it matters. The Slack and Teams integration delivers these narratives directly to the client's communication channel on whatever schedule makes sense. My clients now receive a brief written explanation of their weekly performance without me writing it. The explanation arrives before they have had a chance to look at the numbers themselves and form questions. The questions I field dropped significantly. Not because the data is better but because the data is already explained by the time they see it. The Anomaly Detection sends an alert specifically when something unusual happens. A sudden traffic drop or a conversion rate spike gets flagged with an explanation rather than sitting unnoticed until the weekly report. The Actionable Recommendations layer suggests what to do based on what the data shows, which is the next step after the explanation. The Slack delivery and automated narrative features are shown at https://www.youtube.com/watch?v=TudP7kpSLLg
♥ 0 💬 0 👁 3 Reply →
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Narrative BI Showcase

1 items
Narrative BI sends data stories to Slack automatically and my clients stopped asking me to explain what the numbers mean

Narrative BI sends data stories to Slack automatically and my clients stopped asking me to explain what the numbers mean

AgencyAnalyst_Cai

👍 👎

Narrative BI Pros & Cons

AccessibilityMakes data insights available to non-technical business users

👍 Pro

Narratives can oversimplify complex situations.

👎 Con

SpeedRapid generation of reports and answers from connected data.

Initial data connection and cleaning can take time

👍 Pro

Natural LanguageClear, readable summaries instead of raw charts alone.

👎 Con

Accuracy depends on the quality of underlying data.

AutomationExcellent for scheduled or recurring reporting

👍 Pro

Custom or highly nuanced analysis may still need manual work.

👎 Con

Pricing StructureTiered plans focused on usage and features.

Heavy data volumes or frequent reporting can increase costs

👍 Pro

Overall SuitabilityStrong for democratizing data insights across organizations.

👎 Con

Best used alongside traditional BI tools for validation and deeper analysis.

Narrative BI — Frequently Asked Questions

How does Narrative BI work?

Connect your data sources, and the AI automatically analyzes the data and generates written narratives, charts, and insights.

Do I need to know SQL or data analysis?

No — the platform is designed for business users and generates insights in plain English.

Can it handle large or complex datasets?

Yes — it scales to enterprise-level data volumes with appropriate plans.

Is the output customizable?

Yes — you can guide the AI with specific questions or templates and refine generated reports.

Is Narrative BI a replacement for traditional BI tools?

It complements them by adding natural language storytelling and automation layers.

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Sources & References

  1. https://narrativebi.com ↗
  2. https://narrativebi.com/pricing ↗
  3. https://narrativebi.com/help ↗

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