Expand to Business Analytics: Add Customer, Sales, and KPI models

Major expansion from fraud detection to comprehensive business analytics:

DATABASE CHANGES:
- Renamed database from 'fraud_detection' to 'business_analytics'
- Renamed user from 'fraud_analyst' to 'data_analyst'
- Expanded from 20 to 39 tables across 4 business models

NEW MODELS (19 tables):
1. Customer Analytics (5 tables):
   - customer_segments, customer_lifetime_value, churn_predictions
   - customer_satisfaction, engagement_metrics

2. Sales & Revenue Analytics (6 tables):
   - product_catalog, sales_transactions, sales_targets
   - sales_performance, revenue_forecasts

3. KPI & Metrics (8 tables):
   - kpi_definitions, daily_metrics, monthly_summaries
   - trend_analysis, dashboard_snapshots
   - report_definitions, report_executions, data_quality_checks

DATA GENERATION:
- Extended generate_data.sh with 6 new steps (now 15 total)
- Added CLV calculations for all customers
- Added churn predictions based on transaction recency
- Added 30K customer satisfaction surveys
- Added 1M sales transactions linked to 24 products
- Added 90 days of daily KPI metrics
- Added 24 months of business summaries

SQL EXERCISES (3 new levels):
- Level 2: Customer Analytics (10 exercises + 3 challenges)
- Level 3: Sales & Revenue Analysis (12 exercises + 3 challenges)
- Level 4: KPI Dashboards & Metrics (12 exercises + 3 challenges)

DOCUMENTATION:
- Updated README.md with business analytics focus
- Updated QUICKSTART.md with new data generation steps
- Updated SETUP_COMPLETE.md with 39-table architecture
- Added DATA_MODELS.md with complete model specifications
- Added WHATS_NEW.md with migration guide

SEED DATA:
- Added 8 customer segments (VIP, High Value, etc.)
- Added 24 products across 5 categories
- Added 16 KPI definitions across 4 categories
- Added 8 standard report definitions

All changes maintain idempotency and backward compatibility with existing fraud detection functionality.

scripts/verify-setup.sh

@@ -3,7 +3,7 @@
 # ============================================================================
 # Setup Verification Script
 # ============================================================================
-# Verifies that the fraud detection database is properly set up
+# Verifies that the business analytics database is properly set up
 # ============================================================================
 
 set -e
@@ -18,12 +18,12 @@ NC='\033[0m' # No Color
 # Configuration
 DB_HOST="${POSTGRES_HOST:-localhost}"
 DB_PORT="${POSTGRES_PORT:-5432}"
-DB_NAME="${POSTGRES_DB:-fraud_detection}"
-DB_USER="${POSTGRES_USER:-fraud_analyst}"
+DB_NAME="${POSTGRES_DB:-business_analytics}"
+DB_USER="${POSTGRES_USER:-data_analyst}"
 DB_PASSWORD="${POSTGRES_PASSWORD:-SecurePass123!}"
 
 echo -e "${BLUE}============================================================================${NC}"
-echo -e "${BLUE}Financial Fraud Detection Database - Verification${NC}"
+echo -e "${BLUE}Business Analytics Database - Verification${NC}"
 echo -e "${BLUE}============================================================================${NC}"
 echo ""
 
@@ -34,7 +34,7 @@ execute_sql() {
 
 # Check 1: Docker containers
 echo -e "${YELLOW}[1/10] Checking Docker containers...${NC}"
-if docker ps | grep -q "fraud_detection_db"; then
+if docker ps | grep -q "business_analytics_db"; then
     echo -e "${GREEN}✓ PostgreSQL container is running${NC}"
 else
     echo -e "${RED}✗ PostgreSQL container is not running${NC}"
@@ -42,7 +42,7 @@ else
     exit 1
 fi
 
-if docker ps | grep -q "fraud_detection_ui"; then
+if docker ps | grep -q "business_analytics_ui"; then
     echo -e "${GREEN}✓ DB-UI container is running${NC}"
 else
     echo -e "${RED}✗ DB-UI container is not running${NC}"