A BI report (business intelligence report) is a structured document that presents business data through charts, tables, and written analysis to answer specific business questions, support decision-making, or fulfil compliance and stakeholder reporting requirements.
Why BI Report Matters
BI reports are the most established output of any analytics function. Where dashboards are designed for ongoing monitoring, BI reports are designed for deeper analysis at a specific point in time — quarterly business reviews, board meetings, regulatory filings, or operational deep-dives.
Modern BI reports often blend automated data visualisation with written narrative. They are typically scheduled (weekly, monthly, quarterly), distributed via email or PDF, and consumed by people who do not log into BI tools regularly.
How BI Report Works
A typical BI report includes:
- Executive summary: Top 3-5 takeaways in plain English at the top.
- KPI section: Headline KPIs with period-over-period comparison and target tracking.
- Detail charts and tables: Drill-downs by segment, region, product, etc.
- Written analysis: Explain why metrics moved — leading indicators, root causes, anomalies.
- Recommendations: Specific actions stakeholders should take based on the data.
- Data sources and methodology: Footer noting data sources, calculation methods, and definitions.
BI reports are typically built in BI tools (Tableau, Power BI, Looker), notebook tools (Mode, Hex, Deepnote), or document tools (Notion, Coda) that pull live data via embeds or APIs. Modern AI tools can auto-generate the written narrative from the data using LLMs.
Real-World Example
A SaaS finance team produces a monthly board BI report. Page 1: executive summary noting MRR is $2.4M (108% of plan), churn is 1.8% (worse than 1.5% target), and runway is 22 months. Page 2: MRR growth chart with annotations for major sales wins. Page 3: cohort retention curves. Page 4: customer health distribution. Page 5: written analysis explaining why churn ticked up (a security incident in Q1) and what action is being taken. The report is generated automatically from the warehouse, polished by the finance team, and distributed as PDF before each board meeting.
Common BI Report Tools and Platforms in 2026
2026 BI report tool landscape:
Tableau / Power BI / Looker
Enterprise BI platforms with strong report-building features and scheduled distribution.
Mode / Hex / Deepnote
Notebook-style report tools popular for collaborative analysis.
Sigma
Spreadsheet-style reports on cloud warehouses.
Metabase
Open-source BI report tool, friendly to non-technical users.
Notion / Coda + BI embeds
Document-style BI reports embedding live BI charts.
Analytify
Open-source GenBI platform that generates AI-powered BI reports for SaaS analytics.
Frequently Asked Questions About BI Report
What is the difference between a BI report and a dashboard?
A dashboard is interactive and designed for ongoing monitoring. A BI report is typically static (or static-feeling), designed for in-depth point-in-time analysis, with written narrative explaining the data.
What types of BI reports are most common?
Operational reports (daily / weekly summaries), tactical reports (monthly performance reviews), strategic reports (quarterly business reviews, board reports), compliance reports (regulatory filings), and ad-hoc analytical reports (deep-dives on specific questions).
How often should BI reports be generated?
Match cadence to decision speed. Daily for operations. Weekly for management. Monthly for executive review. Quarterly for strategic planning. Annual for retrospectives.
Should BI reports be automated?
Yes for the data extraction and chart generation. The written narrative can be drafted by AI but typically benefits from human review for strategic context.
What is the difference between a BI report and a dashboard PDF?
A dashboard PDF is a snapshot of an interactive dashboard. A BI report is a designed document with executive summary, narrative, and recommendations — purpose-built for one-time consumption.
Can AI generate BI reports?
Yes. Modern AI tools generate report narrative from warehouse data, propose recommendations, and even highlight anomalies. GenBI tools produce useful first drafts that humans then polish.