AI Data Analyst

Instant Data Insights, Live Dashboards & Automated BI Reports —
No SQL Required

Your AI Data Analyst connects directly to your databases and data warehouses, writes optimized SQL from plain English prompts, detects anomalies proactively, and delivers weekly executive BI digests — 24/7.

Hire Your AI Data Analyst Book an Enterprise Demo
DA
AI Data Analyst
Snowflake, BigQuery & BI Intelligence
Connected • 12 Data Sources Indexed
Why did our Net Revenue Retention (NRR) drop by 4.2% in Q3? Pull the breakdown by customer tier from Snowflake and identify the primary churn drivers.
DA
Analyzing Snowflake prod_dw.analytics across 14,820 customer subscription records in Q3.

SELECT tier, SUM(expansion_arr) - SUM(churn_arr) AS net_arr_delta,
       ROUND((SUM(ending_arr) / NULLIF(SUM(starting_arr), 0)) * 100, 2) AS nrr_pct
FROM subscription_events WHERE quarter = 'Q3-2026' GROUP BY 1;
Key Findings & Root-Cause Diagnostics:
1. Mid-Market Tier Churn: Mid-Market ($10k-$50k ARR) experienced 68% of the total churn ($182k ARR lost). Enterprise NRR remained healthy at 116%.
2. Correlated Feature Gap: 74% of churning Mid-Market accounts cited missing multi-workspace RBAC (referenced in Zendesk feedback tags).
3. Immediate Action: 12 accounts currently exhibit identical usage contraction patterns ($140k ARR at risk).

Would you like me to push this cohort to HubSpot for Customer Success outreach, or publish a live Metabase dashboard?
Generate Metabase Dashboard Flag At-Risk Accounts in CRM Export Executive PDF Send Digest to #exec-analytics
Publish the dashboard to Metabase and send the executive summary to #leadership on Slack.
DA
Executed in 450ms:
• Metabase: Published Q3 NRR Diagnostic & Churn Drivers dashboard (ID: #dash-412).
• Slack Broadcast: Executive summary with chart previews delivered to #leadership.
• Automated Watcher: Set up a daily cron monitor for Mid-Market contraction risk.
10x Faster Time-to-Insight 0 SQL Skills Required 100% Data Freshness Real-Time Anomaly Detection Read-Only Safe Execution Auto-Sync to Slack & Sheets 10x Faster Time-to-Insight 0 SQL Skills Required 100% Data Freshness Real-Time Anomaly Detection
Beyond Rigid BI Dashboards

An On-Demand Data Analyst That Answers Any Business Question.

Traditional BI dashboards only display fixed charts and require engineer tickets to alter. Your AI Data Analyst explores data flexibly, writes optimized SQL, synthesizes root causes, and answers complex follow-up questions in seconds.

Natural Language to Optimized SQL
Converts English questions into production-grade, index-aware SQL queries across Postgres, Snowflake, and BigQuery.
Live Visualization & Dashboarding
Renders interactive heatmaps, cohort grids, bar charts, and funnel graphs instantly — with export to Metabase and Looker.
Proactive Anomaly & Trend Detection
Monitors revenue, signups, churn, and latency continuously. Alerts your team when metrics deviate from statistical norms.
Automated Executive Digest Delivery
Compiles polished weekly and monthly business intelligence summaries with narrative explanations delivered directly to Slack.
Static BI Tools vs. AI Data Analyst
Static BI & Dashboards
AI Data Analyst
Requires SQL or Jira ticket for any new question
Ask in plain English, get answers & charts in seconds
Passive charts that require manual inspection
Proactive alerts with automated root-cause diagnostics
Siloed across multiple databases and tools
Unifies CRM, warehouse, billing, and web analytics
Raw numbers without narrative context
Plain English executive summaries and action items
Weeks of data engineering ramp-up
Connects read-only credentials in 60 minutes
Quick Deployment

Configure in 60 Minutes. Answers Inquiries 24/7.

Connect your data warehouses, set your key metrics dictionary, configure guardrails, and start querying.

1
Connect Data Sources
Provide read-only credentials for Snowflake, BigQuery, Postgres, Redshift, or Google Sheets with 1-click connectors.
Read-Only Safe
2
Index Schema & KPI Metrics
The AI automatically parses table relationships, column descriptions, and your business metric definitions (ARR, CAC, LTV).
Schema Mapping
3
Set Guardrails & Limits
Define query execution timeouts, BigQuery byte scan caps, and Human-in-the-Loop review for heavy analytics queries.
Cost Controls
4
24/7 Automated Intelligence
Ask questions anytime on web or Slack. Background cron jobs deliver automated morning digests and anomaly alerts.
Always Active
Real-World Execution

See How Your AI Data Analyst Investigates Complex Questions

From ad-hoc cohort analysis to automated executive digests, explore live conversational interactions.

Cohort Retention Analysis Evaluates monthly user retention drop-off rates
Revenue Anomaly Alert Investigates unexpected 14% drop in EU checkout
Marketing Attribution & CAC Blends Google Ads, Meta, and Stripe conversions
Executive Board Brief Generates quarterly growth and margin summary
DA
AI Data Analyst
Snowflake & BigQuery Console
Query Engine Ready • Latency: 210ms
Show me our 6-month cohort retention for accounts onboarded in 2026. Are users who invite teammates retaining better than solo users?
DA
Querying PostgreSQL app_prod.user_events and Stripe Billing across 8,420 accounts onboarded between Jan-Jun 2026.

WITH cohort AS (
  SELECT org_id, team_size > 1 AS has_invites, date_trunc('month', created_at) AS cohort_month
  FROM organizations
)
SELECT cohort_month, has_invites, AVG(is_active_m6) * 100 AS m6_retention
FROM cohort GROUP BY 1, 2;
Retention Findings:
• Team Accounts (>1 member): Month-6 retention is 78.4%.
• Solo Accounts: Month-6 retention is 32.1% (a 2.4x retention gap).
• Recommendation: Introducing an in-app invite prompt during onboarding day 3 is estimated to preserve +$48k ARR per quarter.
Cohort Retention Matrix (M1 - M6)
Team Accounts (Multi-Seat)
M1: 94% • M3: 86% • M6: 78.4%
High LTV
Solo Accounts (Single-Seat)
M1: 68% • M3: 44% • M6: 32.1%
At Risk
We detected an alert on Slack about a 14% drop in EU checkout volume today. What happened?
DA
I performed automated root-cause analysis on Stripe API Logs & Cloudflare Traffic between 06:00 and 11:30 UTC.

1. Isolated Failure: iDEAL & Bancontact payment method success rate dropped from 98.2% to 41.0% starting at 07:15 UTC.
2. Error Signature: 502 Bad Gateway responses on Stripe webhook callbacks in Frankfurt AWS region.
3. Revenue Impact: Estimated $18,400 in delayed checkouts across 114 transactions.
4. Status: Stripe incident resolved at 10:45 UTC. Checkout recovery workflow triggered for abandoned carts.
Calculate our blended Customer Acquisition Cost (CAC) by channel for August and compare with LTV.
DA
Blended ad spend from Google Ads ($42k), LinkedIn ($28k), and Meta ($14k) joined with HubSpot Closed-Won Deals (380 customers).

• Google Search: CAC = $180 | LTV = $1,850 (LTV/CAC = 10.2x)
• LinkedIn Ads: CAC = $410 | LTV = $3,400 (LTV/CAC = 8.3x)
• Meta Retargeting: CAC = $95 | LTV = $720 (LTV/CAC = 7.6x)
• Total Blended CAC: $221 across all channels. Organic referrals accounted for 24% of new signups.
Compile our Q3 Executive Brief for the upcoming board meeting. Summarize ARR growth, gross margin, and burn multiple.
DA
Generated Q3 Executive Performance Brief from QuickBooks & Stripe Billing:

• Ending ARR: $6.84M (+28.4% YoY, +$540k net new ARR added in Q3).
• Gross Margin: 82.1% (improved by 140 bps due to hosting optimization on AWS).
• Burn Multiple: 0.82 (top quartile capital efficiency for Series A SaaS).
• Cash Runway: 22 months remaining at current net burn rate ($85k/mo).

Exported presentation slides (PDF/PPTX) and synchronized charts to the Board Dashboard.
Export CSV View in Metabase Send to Slack SQL Cost: $0.002
Enterprise Engine

Engineered for Fast, Secure Data Analytics

How RhinoAgents' core platform features power autonomous data intelligence at enterprise scale.

Conversational Core
Schema-Aware SQL Synthesis
Translates business questions into dialect-specific SQL (Snowflake, BigQuery, Postgres). Checks foreign keys, indexes, and partition filters to generate fast, inexpensive queries.
Automatic JOIN resolution across schemas
Partition pruning & query cost optimization
Natural language explanation of query logic
Multi-Step Execution
Live Visualization & BI Publishing
Does not stop at raw SQL output. Transforms data into clean charts, builds Metabase or Looker dashboards, and syncs summarized metrics directly into Google Sheets.
Instant chart generation (funnels, cohorts, heatmaps)
1-click publishing to Metabase, Tableau & Looker
Bi-directional Google Sheets live cell sync
Supervised Control
Read-Only Safety & Cost Guardrails
Strict security rules protect production systems. Queries execute under read-only database roles, with configurable byte-scan caps in BigQuery and timeout limits.
Zero production write permissions by default
BigQuery / Snowflake cost limits per query
HITL approval for long-running heavy jobs
Scheduled Automation
Background Cron Monitors & Digests
Executes background cron schedules to refresh dashboards before your morning standup, audit metric anomalies, and send automated weekly BI reports.
Daily 07:00 AM executive KPI Slack broadcast
Hourly revenue & conversion anomaly monitor
Weekly Monday leadership growth digest
Comprehensive Toolkit

Everything Your Analytics Stack Needs

Empowering non-technical stakeholders and data teams with autonomous intelligence.

Natural Language Querying
Ask business questions in plain English — the AI writes the SQL, runs the query safely, and explains the answers with charts.
Postgres Snowflake BigQuery Redshift
Live Dashboard Generation
Creates and maintains live dashboards in Looker, Tableau, Metabase, or native web — auto-updated as new data lands.
Metabase Looker Tableau Google Sheets
Anomaly Detection & Alerts
Monitors key metrics continuously — detects unusual drops in revenue, signups, or conversion and alerts teams via Slack.
Slack Alerts Root Cause Thresholds
Automated BI Reports
Generates weekly, monthly, and quarterly business intelligence briefs with executive narratives, charts, and action points.
Weekly Digest PDF Export Board Slides
Predictive Trend Forecasting
Forecasts revenue, churn, customer demand, and runway using historical patterns — spotting opportunities weeks ahead.
30/60/90 Days Churn Risk LTV Modeling
Multi-Source Data Blending
Joins warehouse data with CRM records in Salesforce, billing in Stripe, and ad spend in Google Ads without complex ETL pipelines.
Salesforce Stripe HubSpot Google Ads
Human-in-the-Loop

Cost & Query Controls You Define. Zero Warehouse Surprises.

Set strict execution rules. Fast analytical queries run instantly, while high-cost full-table scans, large partition scans, or write-back updates request 1-click authorization in Slack.

1-Click Slack & Teams Query Approvals
Review query cost estimates, scanned gigabytes, and SQL syntax directly in Slack before execution.
Warehouse Scan & Budget Caps
Automatically intercept any query exceeding your specified data scan threshold (e.g. > 50 GB).
Complete SQL Audit Log
Every query, cost estimate, user question, and execution duration is permanently recorded.
Approval Request Preview
Scan Review Required
BigQuery Scan Exceeds 25 GB Limit #data-leads
Requester: Marketing VP (Ad-Hoc Attribution Query)
Target: bigquery.prod_events.raw_clickstream (180 GB)
AI Optimization: Adding partition filter date >= '2026-08-01' reduces scan size from 180 GB to 14.2 GB ($0.07 cost).
Proposed Action: Run optimized query with 30-day partition filter applied.
RhinoAgents Safeguard: Zero runaway cloud warehouse bills.
Automated Cron Routines

Scheduled Workflows That Keep Metrics Fresh 24/7.

Your AI Data Analyst runs background cron jobs to refresh dashboards, audit anomalies, and deliver stakeholder reports on schedule.

Daily at 07:00 AM: Executive Standup Brief
Cron: 0 7 * * *
Active
Hourly: Revenue & Churn Anomaly Watcher
Cron: 0 * * * *
Active
Every 4 Hours: Metabase & Sheets Cache Refresh
Cron: 0 */4 * * *
Active
Every Monday at 08:00 AM: Weekly Leadership Digest
Cron: 0 8 * * 1
Active
Live Analytics Stream
07:00 AM Executive Brief: Sent daily MRR and signup stats to #leadership Slack
06:00 AM Anomaly Watcher: Inspected 48 KPI metrics, 0 anomalies Snowflake
04:00 AM Cache Refresh: 32 Metabase cards updated in 1.4s Metabase
01:00 AM Schema Indexing: Detected 2 new columns in customer_events BigQuery
Seamless Connectivity

Connects to Your Data Warehouses, SQL DBs & BI Tools

Pre-built native connectors for your entire modern data and business intelligence stack.

Snowflake Google BigQuery PostgreSQL MySQL Amazon Redshift ClickHouse Databricks Metabase Tableau Looker Google Sheets Salesforce CRM Stripe Billing HubSpot CRM 400+ more
Real-Time Visibility

Complete Query Observability & Accuracy Metrics

Full audit trails for every question answered, SQL query executed, and dashboard generated.

Full SQL Query Audit Log
Every query generated and executed is logged with exact execution time, byte scan volume, warehouse cost, and timestamp.
Query Performance & Latency
Real-time stats on query duration, cache hit rates, warehouse cluster sizing, and computational efficiency.
Warehouse Cost Tracking
Monitors Snowflake credits and BigQuery query spend per user, department, and automated routine to prevent unexpected costs.
User Adoption & Insights Usage
Track which business units (Marketing, Sales, Product, Finance) query data the most and which KPIs drive company decisions.
AI Data Analyst — Weekly Console
4,820
Queries Executed
280ms
Avg Response Time
$14.20
Total Weekly Cloud Cost
09:50 AM Generated cohort retention matrix for Q2 cohorts (210ms) View
09:15 AM Synced 48 product metrics to Executive Google Sheet Audit
08:40 AM Flagged potential conversion anomaly in EU checkout flow Review
07:00 AM Delivered Morning KPI Brief to #leadership on Slack View
Enterprise Trust

Built for Strict Data Privacy & Enterprise Governance

Your data warehouse and business intelligence credentials are protected by the highest security standards.

AES-256 & TLS 1.3 Encryption
All database credentials, query logs, and data in transit are encrypted with AES-256 and TLS 1.3 in isolated vaults.
Zero Raw Data Storage
RhinoAgents does not store copies of your raw tables or train foundation models on your proprietary company data.
Role-Based Access Control
Granular RBAC ensures team members can only query data sources and tables matching their organizational permissions.
SSO / SAML 2.0 & MFA
Integrate with Okta, Azure AD, Google Workspace, or any SAML 2.0 identity provider with mandatory MFA enforcement.
SOC 2 Type II & HIPAA Ready
Certified under SOC 2 Type II controls. Compliant with HIPAA BAA standards and European GDPR regulations.
Private Link & IP Whitelisting
Connect directly via AWS PrivateLink, Azure Private Link, or strict static IP whitelisting for complete network isolation.
Got Questions?

Frequently Asked Questions

How does an AI Data Analyst write SQL and query databases?
Your AI Data Analyst connects to your database or data warehouse (Snowflake, BigQuery, PostgreSQL, Redshift) in read-only mode, indexes your schema and metadata, and translates plain English business questions into performant SQL queries. It validates syntax, executes queries safely, and renders charts and narrative explanations.
Can non-technical team members ask questions without knowing SQL?
Yes. Marketing, sales, operations, and leadership teams can chat in plain English via web or Slack (e.g., 'What was our net churn rate by plan last month?'). The AI writes the query, checks table relationships, and returns formatted data with interactive charts.
What data warehouses and BI tools does it support?
It natively connects to Snowflake, Google BigQuery, PostgreSQL, MySQL, Amazon Redshift, ClickHouse, Databricks, Metabase, Tableau, Looker, PowerBI, Google Sheets, Salesforce, and 400+ other data sources via RhinoAgents.
How does anomaly detection work?
The AI monitors your core KPIs (MRR, signups, churn, API latency, conversion rates) on background cron schedules. If an unusual dip or spike exceeds historical standard deviations, it performs root-cause analysis and sends an alert to Slack with findings.
Can I restrict query access or set guardrails on heavy queries?
Yes. You can enforce read-only credentials, set query execution timeouts and byte scan limits in BigQuery/Snowflake, and use Human-in-the-Loop approval for expensive full-table scans or production write-backs.
Is our enterprise data kept private and secure?
Yes. RhinoAgents connects via secure VPN or private link with read-only credentials. We never store raw customer data or use your proprietary records for model training. All query logs and credentials are encrypted with AES-256 and TLS 1.3 under SOC 2 Type II controls.
Data Intelligence 24/7
Turn Your Data Warehouse Into Instant Answers

Deploy your autonomous AI Data Analyst in 60 minutes. Get instant answers, live dashboards, anomaly alerts, and scheduled BI digests with zero SQL required.

Hire Your AI Data Analyst Book an Enterprise Demo