AI-Powered Insights

Transform your data into intelligent business insights using AI-powered analytics. Ask questions in natural language and get instant responses, plus comprehensive scheduled reports.

✨ What Makes Our AI Special

  • Business-focused: Trained on business intelligence patterns and KPIs
  • Dual mode: Instant conversational queries + scheduled comprehensive reports
  • Automatic detection: Finds patterns you might miss
  • Natural language: Ask questions like you would a business analyst

Core AI Features

Pattern Detection

Automatically identifies trends, anomalies, and correlations in your data through on-demand analysis and scheduled comprehensive reports.

  • Seasonal trends and cycles
  • Unusual spikes or drops
  • Cross-metric correlations

Natural Language Queries

Ask questions about your data in plain English and get intelligent, contextual answers with visualizations.

  • "What caused the revenue spike in Q3?"
  • "Show me my top customers by profit"
  • "Compare sales by region this month"

AI-Generated Reports

Generate comprehensive business reports using AI analysis of your connected data sources and templates.

  • 250+ industry templates
  • AI-written summaries
  • Automated chart generation

Trend Analysis

Identify trends in your data using statistical analysis and AI-generated insights.

  • Growth rate analysis
  • Trend direction detection
  • Period-over-period comparison

How to Use AI Insights

1

Open Conversational Analytics

Navigate to the Conversational Analytics feature to start asking questions about your data in natural language.

Main Menu → Conversational Analytics

2

Connect Your Data Source

Select which data source the AI should analyze. You can choose from any connected database, API, or uploaded file.

Databases
PostgreSQL, MySQL, SQL Server
🌐 APIs
Google Analytics, Meta Ads, Jira
📁 Files
CSV, Excel, JSON uploads
3

Ask Questions in Natural Language

Type your question in plain English. The AI will analyze your data and provide insights with visualizations.

Example Questions

  • "What were my top 5 products by revenue last month?"
  • "Compare sales performance across regions"
  • "Show me monthly revenue trends this year"
  • "Which marketing channels have the best ROI?"

Real Insight Examples

Growth Opportunity Detected

AI identified that customers who use Feature X are 3x more likely to upgrade to premium plans. Current adoption of Feature X is only 23%.

Recommendation: Create onboarding flows to increase Feature X adoption. Potential revenue impact: +$180K quarterly.

Anomaly Alert

Unusual spike in customer acquisition cost detected on Dec 15th (+127% vs baseline). Investigation shows correlation with competitor campaign launch.

Action Required: Review advertising spend and adjust bidding strategy. Estimated savings: $25K monthly.

Seasonal Pattern Identified

AI detected strong seasonal patterns in Product Category B with 45% higher sales in Q4. Historical data shows this trend for past 3 years.

Planning Insight: Increase inventory for Category B by 40% in Q3 to meet Q4 demand. Avoid stockouts worth $50K in lost sales.

Best Practices

Do

  • Ask specific, business-focused questions
  • Provide context (time periods, segments, etc.)
  • Review AI recommendations before acting
  • Set up alerts for critical metrics
  • Combine AI insights with domain knowledge

❌ Don't

  • Ask overly broad or vague questions
  • Ignore data quality issues
  • Make major decisions based on single insights
  • Forget to validate AI findings
  • Rely solely on AI without human judgment

Ready to Get AI-Powered Insights?

Start using clariBI's AI features today and transform your data into intelligent business recommendations.