mirror of
https://github.com/freedbygrace/SQL.git
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Alphaeus Mote
aa803bd3bd
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.
817 lines
34 KiB
SQL
817 lines
34 KiB
SQL
-- ============================================================================
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-- Business Analytics Database Schema
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-- Purpose: Data Analyst training with routine/semi-routine analysis scenarios
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-- ============================================================================
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-- This script is IDEMPOTENT - it will drop and recreate all objects
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-- ============================================================================
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-- Enable required extensions
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CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
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CREATE EXTENSION IF NOT EXISTS "pgcrypto";
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-- ============================================================================
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-- DROP ALL EXISTING OBJECTS (in reverse dependency order)
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-- ============================================================================
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-- Drop triggers first
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DROP TRIGGER IF EXISTS trg_update_balance ON transactions;
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DROP TRIGGER IF EXISTS trg_check_suspicious ON transactions;
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-- Drop functions
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DROP FUNCTION IF EXISTS update_account_balance() CASCADE;
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DROP FUNCTION IF EXISTS check_suspicious_transaction() CASCADE;
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DROP FUNCTION IF EXISTS generate_fraud_score(DECIMAL, BOOLEAN, DECIMAL, INT, BOOLEAN) CASCADE;
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-- Drop tables in reverse dependency order
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-- New analytics tables
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DROP TABLE IF EXISTS report_executions CASCADE;
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DROP TABLE IF EXISTS report_definitions CASCADE;
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DROP TABLE IF EXISTS data_quality_checks CASCADE;
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DROP TABLE IF EXISTS dashboard_snapshots CASCADE;
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DROP TABLE IF EXISTS trend_analysis CASCADE;
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DROP TABLE IF EXISTS monthly_summaries CASCADE;
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DROP TABLE IF EXISTS daily_metrics CASCADE;
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DROP TABLE IF EXISTS kpi_definitions CASCADE;
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DROP TABLE IF EXISTS revenue_forecasts CASCADE;
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DROP TABLE IF EXISTS sales_performance CASCADE;
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DROP TABLE IF EXISTS sales_targets CASCADE;
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DROP TABLE IF EXISTS sales_transactions CASCADE;
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DROP TABLE IF EXISTS product_catalog CASCADE;
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DROP TABLE IF EXISTS engagement_metrics CASCADE;
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DROP TABLE IF EXISTS customer_satisfaction CASCADE;
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DROP TABLE IF EXISTS churn_predictions CASCADE;
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DROP TABLE IF EXISTS customer_lifetime_value CASCADE;
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DROP TABLE IF EXISTS customer_segments CASCADE;
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-- Existing tables
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DROP TABLE IF EXISTS audit_log CASCADE;
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DROP TABLE IF EXISTS suspicious_activity_reports CASCADE;
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DROP TABLE IF EXISTS case_alerts CASCADE;
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DROP TABLE IF EXISTS case_transactions CASCADE;
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DROP TABLE IF EXISTS fraud_cases CASCADE;
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DROP TABLE IF EXISTS alerts CASCADE;
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DROP TABLE IF EXISTS transfers CASCADE;
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DROP TABLE IF EXISTS beneficiaries CASCADE;
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DROP TABLE IF EXISTS transactions CASCADE;
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DROP TABLE IF EXISTS login_sessions CASCADE;
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DROP TABLE IF EXISTS devices CASCADE;
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DROP TABLE IF EXISTS cards CASCADE;
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DROP TABLE IF EXISTS accounts CASCADE;
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DROP TABLE IF EXISTS customer_relationships CASCADE;
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DROP TABLE IF EXISTS customers CASCADE;
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DROP TABLE IF EXISTS merchants CASCADE;
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DROP TABLE IF EXISTS merchant_categories CASCADE;
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DROP TABLE IF EXISTS fraud_types CASCADE;
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DROP TABLE IF EXISTS transaction_types CASCADE;
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DROP TABLE IF EXISTS countries CASCADE;
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-- ============================================================================
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-- REFERENCE/LOOKUP TABLES
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-- ============================================================================
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-- Countries reference table
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CREATE TABLE countries (
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country_id SERIAL PRIMARY KEY,
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country_code CHAR(2) NOT NULL UNIQUE,
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country_name VARCHAR(100) NOT NULL,
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region VARCHAR(50) NOT NULL,
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risk_level VARCHAR(20) DEFAULT 'LOW' CHECK (risk_level IN ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL')),
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Merchant categories
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CREATE TABLE merchant_categories (
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category_id SERIAL PRIMARY KEY,
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category_code VARCHAR(10) NOT NULL UNIQUE,
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category_name VARCHAR(100) NOT NULL,
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description TEXT,
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risk_weight DECIMAL(3,2) DEFAULT 1.00,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Transaction types
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CREATE TABLE transaction_types (
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type_id SERIAL PRIMARY KEY,
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type_code VARCHAR(20) NOT NULL UNIQUE,
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type_name VARCHAR(100) NOT NULL,
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description TEXT,
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requires_merchant BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Fraud types
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CREATE TABLE fraud_types (
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fraud_type_id SERIAL PRIMARY KEY,
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fraud_code VARCHAR(20) NOT NULL UNIQUE,
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fraud_name VARCHAR(100) NOT NULL,
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description TEXT,
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severity VARCHAR(20) DEFAULT 'MEDIUM' CHECK (severity IN ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL')),
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- ============================================================================
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-- CUSTOMER DOMAIN
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-- ============================================================================
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-- Customers table
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CREATE TABLE customers (
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customer_id BIGSERIAL PRIMARY KEY,
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first_name VARCHAR(100) NOT NULL,
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last_name VARCHAR(100) NOT NULL,
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email VARCHAR(255) NOT NULL UNIQUE,
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phone VARCHAR(20),
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date_of_birth DATE NOT NULL,
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ssn_hash VARCHAR(64) NOT NULL UNIQUE, -- Hashed SSN for privacy
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address_line1 VARCHAR(255),
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address_line2 VARCHAR(255),
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city VARCHAR(100),
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state VARCHAR(50),
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postal_code VARCHAR(20),
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country_id INT NOT NULL REFERENCES countries(country_id),
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registration_date TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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last_login TIMESTAMP,
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kyc_status VARCHAR(20) DEFAULT 'PENDING' CHECK (kyc_status IN ('PENDING', 'VERIFIED', 'REJECTED', 'EXPIRED')),
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kyc_verified_date TIMESTAMP,
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risk_score DECIMAL(5,2) DEFAULT 50.00 CHECK (risk_score BETWEEN 0 AND 100),
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is_pep BOOLEAN DEFAULT FALSE, -- Politically Exposed Person
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is_active BOOLEAN DEFAULT TRUE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Customer relationships (for detecting collusion networks)
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CREATE TABLE customer_relationships (
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relationship_id BIGSERIAL PRIMARY KEY,
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customer_id_1 BIGINT NOT NULL REFERENCES customers(customer_id),
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customer_id_2 BIGINT NOT NULL REFERENCES customers(customer_id),
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relationship_type VARCHAR(50) NOT NULL CHECK (relationship_type IN ('FAMILY', 'BUSINESS', 'SHARED_ADDRESS', 'SHARED_DEVICE', 'SHARED_IP', 'SUSPECTED_MULE')),
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confidence_score DECIMAL(5,2) DEFAULT 50.00 CHECK (confidence_score BETWEEN 0 AND 100),
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detected_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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notes TEXT,
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CONSTRAINT different_customers CHECK (customer_id_1 != customer_id_2),
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CONSTRAINT unique_relationship UNIQUE (customer_id_1, customer_id_2, relationship_type)
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);
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-- ============================================================================
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-- ACCOUNT DOMAIN
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-- ============================================================================
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-- Accounts table
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CREATE TABLE accounts (
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account_id BIGSERIAL PRIMARY KEY,
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customer_id BIGINT NOT NULL REFERENCES customers(customer_id),
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account_number VARCHAR(20) NOT NULL UNIQUE,
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account_type VARCHAR(20) NOT NULL CHECK (account_type IN ('CHECKING', 'SAVINGS', 'CREDIT', 'INVESTMENT', 'LOAN')),
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currency CHAR(3) DEFAULT 'USD',
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opening_date DATE NOT NULL DEFAULT CURRENT_DATE,
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closing_date DATE,
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status VARCHAR(20) DEFAULT 'ACTIVE' CHECK (status IN ('ACTIVE', 'SUSPENDED', 'CLOSED', 'FROZEN')),
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current_balance DECIMAL(15,2) DEFAULT 0.00,
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available_balance DECIMAL(15,2) DEFAULT 0.00,
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credit_limit DECIMAL(15,2),
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overdraft_limit DECIMAL(15,2) DEFAULT 0.00,
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interest_rate DECIMAL(5,4),
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monthly_fee DECIMAL(8,2) DEFAULT 0.00,
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is_primary BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Cards table
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CREATE TABLE cards (
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card_id BIGSERIAL PRIMARY KEY,
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account_id BIGINT NOT NULL REFERENCES accounts(account_id),
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card_number_hash VARCHAR(64) NOT NULL UNIQUE, -- Hashed card number
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card_last_four CHAR(4) NOT NULL,
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card_type VARCHAR(20) NOT NULL CHECK (card_type IN ('DEBIT', 'CREDIT', 'PREPAID', 'VIRTUAL')),
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card_network VARCHAR(20) NOT NULL CHECK (card_network IN ('VISA', 'MASTERCARD', 'AMEX', 'DISCOVER')),
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issue_date DATE NOT NULL DEFAULT CURRENT_DATE,
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expiry_date DATE NOT NULL,
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cvv_hash VARCHAR(64) NOT NULL,
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status VARCHAR(20) DEFAULT 'ACTIVE' CHECK (status IN ('ACTIVE', 'BLOCKED', 'EXPIRED', 'LOST', 'STOLEN')),
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daily_limit DECIMAL(10,2) DEFAULT 5000.00,
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monthly_limit DECIMAL(12,2) DEFAULT 50000.00,
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is_contactless BOOLEAN DEFAULT TRUE,
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is_international BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- ============================================================================
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-- MERCHANT DOMAIN
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-- ============================================================================
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-- Merchants table
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CREATE TABLE merchants (
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merchant_id BIGSERIAL PRIMARY KEY,
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merchant_name VARCHAR(255) NOT NULL,
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merchant_code VARCHAR(50) UNIQUE,
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category_id INT NOT NULL REFERENCES merchant_categories(category_id),
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country_id INT NOT NULL REFERENCES countries(country_id),
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city VARCHAR(100),
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website VARCHAR(255),
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registration_date DATE NOT NULL DEFAULT CURRENT_DATE,
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status VARCHAR(20) DEFAULT 'ACTIVE' CHECK (status IN ('ACTIVE', 'SUSPENDED', 'BLACKLISTED', 'CLOSED')),
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risk_rating VARCHAR(20) DEFAULT 'LOW' CHECK (risk_rating IN ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL')),
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total_transactions BIGINT DEFAULT 0,
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total_volume DECIMAL(18,2) DEFAULT 0.00,
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fraud_incidents INT DEFAULT 0,
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is_verified BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- ============================================================================
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-- DEVICE & SESSION DOMAIN
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-- ============================================================================
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-- Devices table (for tracking login devices)
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CREATE TABLE devices (
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device_id BIGSERIAL PRIMARY KEY,
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device_fingerprint VARCHAR(64) NOT NULL UNIQUE,
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device_type VARCHAR(20) CHECK (device_type IN ('MOBILE', 'TABLET', 'DESKTOP', 'OTHER')),
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os_name VARCHAR(50),
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os_version VARCHAR(50),
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browser_name VARCHAR(50),
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browser_version VARCHAR(50),
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first_seen TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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last_seen TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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is_trusted BOOLEAN DEFAULT FALSE,
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is_blacklisted BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Login sessions
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CREATE TABLE login_sessions (
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session_id BIGSERIAL PRIMARY KEY,
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customer_id BIGINT NOT NULL REFERENCES customers(customer_id),
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device_id BIGINT NOT NULL REFERENCES devices(device_id),
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ip_address INET NOT NULL,
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country_id INT REFERENCES countries(country_id),
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city VARCHAR(100),
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latitude DECIMAL(10,8),
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longitude DECIMAL(11,8),
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login_timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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logout_timestamp TIMESTAMP,
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session_duration_seconds INT,
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is_successful BOOLEAN DEFAULT TRUE,
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failure_reason VARCHAR(255),
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risk_score DECIMAL(5,2) DEFAULT 0.00,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- ============================================================================
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-- TRANSACTION DOMAIN
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-- ============================================================================
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-- Transactions table (main transaction log)
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CREATE TABLE transactions (
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transaction_id BIGSERIAL PRIMARY KEY,
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account_id BIGINT NOT NULL REFERENCES accounts(account_id),
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type_id INT NOT NULL REFERENCES transaction_types(type_id),
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transaction_date TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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amount DECIMAL(15,2) NOT NULL CHECK (amount > 0),
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currency CHAR(3) DEFAULT 'USD',
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merchant_id BIGINT REFERENCES merchants(merchant_id),
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card_id BIGINT REFERENCES cards(card_id),
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device_id BIGINT REFERENCES devices(device_id),
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ip_address INET,
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country_id INT REFERENCES countries(country_id),
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city VARCHAR(100),
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latitude DECIMAL(10,8),
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longitude DECIMAL(11,8),
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description TEXT,
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reference_number VARCHAR(50) UNIQUE,
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status VARCHAR(20) DEFAULT 'COMPLETED' CHECK (status IN ('PENDING', 'COMPLETED', 'FAILED', 'REVERSED', 'FLAGGED', 'BLOCKED')),
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is_online BOOLEAN DEFAULT TRUE,
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is_international BOOLEAN DEFAULT FALSE,
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is_card_present BOOLEAN DEFAULT FALSE,
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fraud_score DECIMAL(5,2) DEFAULT 0.00 CHECK (fraud_score BETWEEN 0 AND 100),
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is_flagged BOOLEAN DEFAULT FALSE,
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flagged_reason TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Beneficiaries (for transfers)
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CREATE TABLE beneficiaries (
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beneficiary_id BIGSERIAL PRIMARY KEY,
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customer_id BIGINT NOT NULL REFERENCES customers(customer_id),
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beneficiary_name VARCHAR(255) NOT NULL,
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account_number VARCHAR(50) NOT NULL,
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bank_name VARCHAR(255),
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bank_code VARCHAR(20),
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country_id INT NOT NULL REFERENCES countries(country_id),
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relationship VARCHAR(50),
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is_verified BOOLEAN DEFAULT FALSE,
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added_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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last_used TIMESTAMP,
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total_transfers INT DEFAULT 0,
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total_amount DECIMAL(18,2) DEFAULT 0.00,
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is_active BOOLEAN DEFAULT TRUE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Transfer transactions
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CREATE TABLE transfers (
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transfer_id BIGSERIAL PRIMARY KEY,
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transaction_id BIGINT NOT NULL REFERENCES transactions(transaction_id),
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from_account_id BIGINT NOT NULL REFERENCES accounts(account_id),
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to_account_id BIGINT REFERENCES accounts(account_id), -- NULL for external transfers
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beneficiary_id BIGINT REFERENCES beneficiaries(beneficiary_id),
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transfer_type VARCHAR(20) NOT NULL CHECK (transfer_type IN ('INTERNAL', 'DOMESTIC', 'INTERNATIONAL', 'WIRE')),
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purpose VARCHAR(255),
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is_recurring BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- ============================================================================
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-- FRAUD DETECTION & ALERTS DOMAIN
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-- ============================================================================
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-- Alerts table (system-generated suspicious activity alerts)
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CREATE TABLE alerts (
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alert_id BIGSERIAL PRIMARY KEY,
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transaction_id BIGINT REFERENCES transactions(transaction_id),
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customer_id BIGINT REFERENCES customers(customer_id),
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account_id BIGINT REFERENCES accounts(account_id),
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alert_type VARCHAR(50) NOT NULL CHECK (alert_type IN (
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'VELOCITY_CHECK', 'AMOUNT_ANOMALY', 'GEOGRAPHIC_ANOMALY',
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'MERCHANT_RISK', 'DEVICE_CHANGE', 'UNUSUAL_TIME',
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'MULTIPLE_CARDS', 'ACCOUNT_TAKEOVER', 'MONEY_MULE', 'STRUCTURING'
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)),
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severity VARCHAR(20) DEFAULT 'MEDIUM' CHECK (severity IN ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL')),
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alert_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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description TEXT NOT NULL,
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risk_score DECIMAL(5,2) DEFAULT 50.00 CHECK (risk_score BETWEEN 0 AND 100),
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status VARCHAR(20) DEFAULT 'OPEN' CHECK (status IN ('OPEN', 'INVESTIGATING', 'CLOSED', 'FALSE_POSITIVE', 'CONFIRMED_FRAUD')),
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assigned_to VARCHAR(100),
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reviewed_date TIMESTAMP,
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resolution_notes TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Fraud cases (confirmed fraud incidents)
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CREATE TABLE fraud_cases (
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case_id BIGSERIAL PRIMARY KEY,
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case_number VARCHAR(50) NOT NULL UNIQUE,
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customer_id BIGINT REFERENCES customers(customer_id),
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account_id BIGINT REFERENCES accounts(account_id),
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fraud_type_id INT NOT NULL REFERENCES fraud_types(fraud_type_id),
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detection_date TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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detection_method VARCHAR(50) CHECK (detection_method IN ('AUTOMATED', 'CUSTOMER_REPORT', 'MANUAL_REVIEW', 'THIRD_PARTY')),
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amount_lost DECIMAL(15,2) DEFAULT 0.00,
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amount_recovered DECIMAL(15,2) DEFAULT 0.00,
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status VARCHAR(20) DEFAULT 'OPEN' CHECK (status IN ('OPEN', 'INVESTIGATING', 'RESOLVED', 'CLOSED', 'LEGAL_ACTION')),
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priority VARCHAR(20) DEFAULT 'MEDIUM' CHECK (priority IN ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL')),
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assigned_investigator VARCHAR(100),
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investigation_notes TEXT,
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resolution_date TIMESTAMP,
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resolution_summary TEXT,
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law_enforcement_notified BOOLEAN DEFAULT FALSE,
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customer_notified BOOLEAN DEFAULT FALSE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Case transactions (linking transactions to fraud cases)
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CREATE TABLE case_transactions (
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case_transaction_id BIGSERIAL PRIMARY KEY,
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case_id BIGINT NOT NULL REFERENCES fraud_cases(case_id),
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transaction_id BIGINT NOT NULL REFERENCES transactions(transaction_id),
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is_fraudulent BOOLEAN DEFAULT TRUE,
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notes TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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CONSTRAINT unique_case_transaction UNIQUE (case_id, transaction_id)
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);
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-- Case alerts (linking alerts to fraud cases)
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CREATE TABLE case_alerts (
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case_alert_id BIGSERIAL PRIMARY KEY,
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case_id BIGINT NOT NULL REFERENCES fraud_cases(case_id),
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alert_id BIGINT NOT NULL REFERENCES alerts(alert_id),
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relevance_score DECIMAL(5,2) DEFAULT 50.00,
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notes TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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CONSTRAINT unique_case_alert UNIQUE (case_id, alert_id)
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);
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-- ============================================================================
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-- AUDIT & COMPLIANCE DOMAIN
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-- ============================================================================
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-- Audit log (comprehensive audit trail)
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CREATE TABLE audit_log (
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audit_id BIGSERIAL PRIMARY KEY,
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table_name VARCHAR(100) NOT NULL,
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|
record_id BIGINT NOT NULL,
|
|
action VARCHAR(20) NOT NULL CHECK (action IN ('INSERT', 'UPDATE', 'DELETE', 'SELECT')),
|
|
old_values JSONB,
|
|
new_values JSONB,
|
|
changed_by VARCHAR(100),
|
|
changed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
ip_address INET,
|
|
user_agent TEXT
|
|
);
|
|
|
|
-- Suspicious Activity Reports (SAR)
|
|
CREATE TABLE suspicious_activity_reports (
|
|
sar_id BIGSERIAL PRIMARY KEY,
|
|
sar_number VARCHAR(50) NOT NULL UNIQUE,
|
|
case_id BIGINT REFERENCES fraud_cases(case_id),
|
|
customer_id BIGINT NOT NULL REFERENCES customers(customer_id),
|
|
filing_date DATE NOT NULL DEFAULT CURRENT_DATE,
|
|
activity_date_from DATE NOT NULL,
|
|
activity_date_to DATE NOT NULL,
|
|
total_amount DECIMAL(18,2) NOT NULL,
|
|
activity_description TEXT NOT NULL,
|
|
filed_by VARCHAR(100) NOT NULL,
|
|
status VARCHAR(20) DEFAULT 'DRAFT' CHECK (status IN ('DRAFT', 'SUBMITTED', 'ACKNOWLEDGED', 'CLOSED')),
|
|
submission_date DATE,
|
|
acknowledgment_date DATE,
|
|
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
|
);
|
|
|
|
-- ============================================================================
|
|
-- INDEXES FOR PERFORMANCE
|
|
-- ============================================================================
|
|
|
|
-- Customer indexes
|
|
CREATE INDEX idx_customers_email ON customers(email);
|
|
CREATE INDEX idx_customers_country ON customers(country_id);
|
|
CREATE INDEX idx_customers_risk_score ON customers(risk_score DESC);
|
|
CREATE INDEX idx_customers_registration_date ON customers(registration_date);
|
|
|
|
-- Account indexes
|
|
CREATE INDEX idx_accounts_customer ON accounts(customer_id);
|
|
CREATE INDEX idx_accounts_status ON accounts(status);
|
|
CREATE INDEX idx_accounts_type ON accounts(account_type);
|
|
|
|
-- Transaction indexes (critical for performance)
|
|
CREATE INDEX idx_transactions_account ON transactions(account_id);
|
|
CREATE INDEX idx_transactions_date ON transactions(transaction_date DESC);
|
|
CREATE INDEX idx_transactions_merchant ON transactions(merchant_id);
|
|
CREATE INDEX idx_transactions_status ON transactions(status);
|
|
CREATE INDEX idx_transactions_flagged ON transactions(is_flagged) WHERE is_flagged = TRUE;
|
|
CREATE INDEX idx_transactions_fraud_score ON transactions(fraud_score DESC);
|
|
CREATE INDEX idx_transactions_amount ON transactions(amount);
|
|
CREATE INDEX idx_transactions_country ON transactions(country_id);
|
|
|
|
-- Card indexes
|
|
CREATE INDEX idx_cards_account ON cards(account_id);
|
|
CREATE INDEX idx_cards_status ON cards(status);
|
|
|
|
-- Alert indexes
|
|
CREATE INDEX idx_alerts_customer ON alerts(customer_id);
|
|
CREATE INDEX idx_alerts_transaction ON alerts(transaction_id);
|
|
CREATE INDEX idx_alerts_status ON alerts(status);
|
|
CREATE INDEX idx_alerts_date ON alerts(alert_date DESC);
|
|
CREATE INDEX idx_alerts_severity ON alerts(severity);
|
|
|
|
-- Fraud case indexes
|
|
CREATE INDEX idx_fraud_cases_customer ON fraud_cases(customer_id);
|
|
CREATE INDEX idx_fraud_cases_status ON fraud_cases(status);
|
|
CREATE INDEX idx_fraud_cases_detection_date ON fraud_cases(detection_date DESC);
|
|
|
|
-- Login session indexes
|
|
CREATE INDEX idx_login_sessions_customer ON login_sessions(customer_id);
|
|
CREATE INDEX idx_login_sessions_timestamp ON login_sessions(login_timestamp DESC);
|
|
CREATE INDEX idx_login_sessions_ip ON login_sessions(ip_address);
|
|
|
|
-- Merchant indexes
|
|
CREATE INDEX idx_merchants_category ON merchants(category_id);
|
|
CREATE INDEX idx_merchants_country ON merchants(country_id);
|
|
CREATE INDEX idx_merchants_risk_rating ON merchants(risk_rating);
|
|
|
|
-- Comments for documentation
|
|
COMMENT ON TABLE customers IS 'Customer master data with KYC and risk information';
|
|
COMMENT ON TABLE accounts IS 'Customer accounts including checking, savings, credit, etc.';
|
|
COMMENT ON TABLE transactions IS 'Main transaction log with fraud scoring';
|
|
COMMENT ON TABLE alerts IS 'System-generated fraud alerts requiring review';
|
|
COMMENT ON TABLE fraud_cases IS 'Confirmed fraud cases under investigation';
|
|
COMMENT ON TABLE merchants IS 'Merchant directory with risk ratings';
|
|
COMMENT ON TABLE cards IS 'Payment cards linked to accounts';
|
|
COMMENT ON TABLE devices IS 'Device fingerprints for fraud detection';
|
|
COMMENT ON TABLE login_sessions IS 'Login history for account takeover detection';
|
|
|
|
-- ============================================================================
|
|
-- CUSTOMER ANALYTICS TABLES (for routine customer analysis)
|
|
-- ============================================================================
|
|
|
|
CREATE TABLE customer_segments (
|
|
segment_id SERIAL PRIMARY KEY,
|
|
segment_name VARCHAR(100) NOT NULL UNIQUE,
|
|
segment_description TEXT,
|
|
criteria_definition JSONB,
|
|
min_clv DECIMAL(15,2),
|
|
max_clv DECIMAL(15,2),
|
|
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
updated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
|
);
|
|
|
|
CREATE TABLE customer_lifetime_value (
|
|
clv_id SERIAL PRIMARY KEY,
|
|
customer_id INT NOT NULL REFERENCES customers(customer_id),
|
|
calculation_date DATE NOT NULL,
|
|
total_revenue DECIMAL(15,2) DEFAULT 0,
|
|
total_transactions INT DEFAULT 0,
|
|
average_order_value DECIMAL(15,2) DEFAULT 0,
|
|
predicted_future_value DECIMAL(15,2),
|
|
clv_score DECIMAL(10,2),
|
|
segment_id INT REFERENCES customer_segments(segment_id),
|
|
UNIQUE(customer_id, calculation_date)
|
|
);
|
|
|
|
CREATE TABLE churn_predictions (
|
|
prediction_id SERIAL PRIMARY KEY,
|
|
customer_id INT NOT NULL REFERENCES customers(customer_id),
|
|
prediction_date DATE NOT NULL,
|
|
churn_probability DECIMAL(5,2) CHECK (churn_probability BETWEEN 0 AND 100),
|
|
risk_level VARCHAR(20) CHECK (risk_level IN ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL')),
|
|
last_transaction_date DATE,
|
|
days_since_last_transaction INT,
|
|
engagement_score DECIMAL(5,2),
|
|
recommended_action TEXT,
|
|
UNIQUE(customer_id, prediction_date)
|
|
);
|
|
|
|
CREATE TABLE customer_satisfaction (
|
|
satisfaction_id SERIAL PRIMARY KEY,
|
|
customer_id INT NOT NULL REFERENCES customers(customer_id),
|
|
survey_date DATE NOT NULL,
|
|
nps_score INT CHECK (nps_score BETWEEN -100 AND 100),
|
|
csat_score DECIMAL(3,2) CHECK (csat_score BETWEEN 1 AND 5),
|
|
feedback_text TEXT,
|
|
category VARCHAR(50) CHECK (category IN ('PRODUCT', 'SERVICE', 'SUPPORT', 'BILLING', 'OTHER')),
|
|
sentiment VARCHAR(20) CHECK (sentiment IN ('POSITIVE', 'NEUTRAL', 'NEGATIVE'))
|
|
);
|
|
|
|
CREATE TABLE engagement_metrics (
|
|
metric_id SERIAL PRIMARY KEY,
|
|
customer_id INT NOT NULL REFERENCES customers(customer_id),
|
|
metric_date DATE NOT NULL,
|
|
login_count INT DEFAULT 0,
|
|
page_views INT DEFAULT 0,
|
|
time_spent_minutes INT DEFAULT 0,
|
|
features_used JSONB,
|
|
support_tickets_opened INT DEFAULT 0,
|
|
engagement_score DECIMAL(5,2),
|
|
UNIQUE(customer_id, metric_date)
|
|
);
|
|
|
|
-- ============================================================================
|
|
-- SALES & REVENUE ANALYTICS TABLES (for semi-routine sales reporting)
|
|
-- ============================================================================
|
|
|
|
CREATE TABLE product_catalog (
|
|
product_id SERIAL PRIMARY KEY,
|
|
product_name VARCHAR(200) NOT NULL,
|
|
product_category VARCHAR(100),
|
|
product_subcategory VARCHAR(100),
|
|
unit_price DECIMAL(15,2) NOT NULL,
|
|
cost_price DECIMAL(15,2),
|
|
margin_percentage DECIMAL(5,2),
|
|
is_active BOOLEAN DEFAULT TRUE,
|
|
launch_date DATE,
|
|
discontinued_date DATE
|
|
);
|
|
|
|
CREATE TABLE sales_transactions (
|
|
sale_id SERIAL PRIMARY KEY,
|
|
transaction_id INT REFERENCES transactions(transaction_id),
|
|
product_id INT REFERENCES product_catalog(product_id),
|
|
quantity INT NOT NULL DEFAULT 1,
|
|
unit_price DECIMAL(15,2) NOT NULL,
|
|
discount_amount DECIMAL(15,2) DEFAULT 0,
|
|
tax_amount DECIMAL(15,2) DEFAULT 0,
|
|
total_amount DECIMAL(15,2) NOT NULL,
|
|
sale_date TIMESTAMP NOT NULL,
|
|
sales_channel VARCHAR(50) CHECK (sales_channel IN ('ONLINE', 'STORE', 'PHONE', 'MOBILE_APP')),
|
|
sales_rep_id INT,
|
|
region VARCHAR(100)
|
|
);
|
|
|
|
CREATE TABLE sales_targets (
|
|
target_id SERIAL PRIMARY KEY,
|
|
target_period VARCHAR(20) CHECK (target_period IN ('DAILY', 'WEEKLY', 'MONTHLY', 'QUARTERLY', 'YEARLY')),
|
|
start_date DATE NOT NULL,
|
|
end_date DATE NOT NULL,
|
|
product_category VARCHAR(100),
|
|
region VARCHAR(100),
|
|
target_revenue DECIMAL(15,2),
|
|
target_units INT,
|
|
target_customers INT,
|
|
created_by VARCHAR(100),
|
|
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
|
);
|
|
|
|
CREATE TABLE sales_performance (
|
|
performance_id SERIAL PRIMARY KEY,
|
|
period_date DATE NOT NULL,
|
|
period_type VARCHAR(20) CHECK (period_type IN ('DAILY', 'WEEKLY', 'MONTHLY', 'QUARTERLY')),
|
|
product_id INT REFERENCES product_catalog(product_id),
|
|
region VARCHAR(100),
|
|
total_revenue DECIMAL(15,2) DEFAULT 0,
|
|
total_units_sold INT DEFAULT 0,
|
|
total_transactions INT DEFAULT 0,
|
|
unique_customers INT DEFAULT 0,
|
|
average_order_value DECIMAL(15,2),
|
|
vs_target_percentage DECIMAL(5,2),
|
|
UNIQUE(period_date, period_type, product_id, region)
|
|
);
|
|
|
|
CREATE TABLE revenue_forecasts (
|
|
forecast_id SERIAL PRIMARY KEY,
|
|
forecast_date DATE NOT NULL,
|
|
forecast_period_start DATE NOT NULL,
|
|
forecast_period_end DATE NOT NULL,
|
|
product_category VARCHAR(100),
|
|
region VARCHAR(100),
|
|
forecasted_revenue DECIMAL(15,2),
|
|
confidence_level VARCHAR(20) CHECK (confidence_level IN ('LOW', 'MEDIUM', 'HIGH')),
|
|
forecast_method VARCHAR(50) CHECK (forecast_method IN ('HISTORICAL', 'TREND', 'SEASONAL', 'ML')),
|
|
actual_revenue DECIMAL(15,2),
|
|
variance_percentage DECIMAL(5,2)
|
|
);
|
|
|
|
|
|
-- ============================================================================
|
|
-- OPERATIONAL METRICS & KPI TABLES (for dashboard creation)
|
|
-- ============================================================================
|
|
|
|
CREATE TABLE kpi_definitions (
|
|
kpi_id SERIAL PRIMARY KEY,
|
|
kpi_name VARCHAR(100) NOT NULL UNIQUE,
|
|
kpi_description TEXT,
|
|
kpi_category VARCHAR(50) CHECK (kpi_category IN ('SALES', 'CUSTOMER', 'OPERATIONAL', 'FINANCIAL')),
|
|
calculation_formula TEXT,
|
|
target_value DECIMAL(15,2),
|
|
threshold_warning DECIMAL(15,2),
|
|
threshold_critical DECIMAL(15,2),
|
|
unit_of_measure VARCHAR(50),
|
|
refresh_frequency VARCHAR(20) CHECK (refresh_frequency IN ('REALTIME', 'HOURLY', 'DAILY', 'WEEKLY')),
|
|
is_active BOOLEAN DEFAULT TRUE
|
|
);
|
|
|
|
CREATE TABLE daily_metrics (
|
|
metric_id SERIAL PRIMARY KEY,
|
|
metric_date DATE NOT NULL,
|
|
kpi_id INT NOT NULL REFERENCES kpi_definitions(kpi_id),
|
|
metric_value DECIMAL(15,2),
|
|
vs_previous_day_percentage DECIMAL(5,2),
|
|
vs_previous_week_percentage DECIMAL(5,2),
|
|
vs_previous_month_percentage DECIMAL(5,2),
|
|
status VARCHAR(20) CHECK (status IN ('ON_TARGET', 'WARNING', 'CRITICAL')),
|
|
notes TEXT,
|
|
UNIQUE(metric_date, kpi_id)
|
|
);
|
|
|
|
CREATE TABLE monthly_summaries (
|
|
summary_id SERIAL PRIMARY KEY,
|
|
summary_month INT CHECK (summary_month BETWEEN 1 AND 12),
|
|
summary_year INT,
|
|
total_revenue DECIMAL(15,2) DEFAULT 0,
|
|
total_transactions INT DEFAULT 0,
|
|
total_customers INT DEFAULT 0,
|
|
new_customers INT DEFAULT 0,
|
|
churned_customers INT DEFAULT 0,
|
|
average_transaction_value DECIMAL(15,2),
|
|
customer_acquisition_cost DECIMAL(15,2),
|
|
customer_lifetime_value DECIMAL(15,2),
|
|
net_promoter_score DECIMAL(5,2),
|
|
gross_margin_percentage DECIMAL(5,2),
|
|
UNIQUE(summary_month, summary_year)
|
|
);
|
|
|
|
CREATE TABLE trend_analysis (
|
|
trend_id SERIAL PRIMARY KEY,
|
|
kpi_id INT NOT NULL REFERENCES kpi_definitions(kpi_id),
|
|
analysis_date DATE NOT NULL,
|
|
period_start DATE NOT NULL,
|
|
period_end DATE NOT NULL,
|
|
trend_direction VARCHAR(20) CHECK (trend_direction IN ('UP', 'DOWN', 'FLAT')),
|
|
trend_strength VARCHAR(20) CHECK (trend_strength IN ('WEAK', 'MODERATE', 'STRONG')),
|
|
moving_average_7day DECIMAL(15,2),
|
|
moving_average_30day DECIMAL(15,2),
|
|
seasonality_detected BOOLEAN DEFAULT FALSE,
|
|
anomalies_detected BOOLEAN DEFAULT FALSE,
|
|
statistical_significance DECIMAL(5,4)
|
|
);
|
|
|
|
CREATE TABLE dashboard_snapshots (
|
|
snapshot_id SERIAL PRIMARY KEY,
|
|
dashboard_name VARCHAR(100) NOT NULL,
|
|
snapshot_timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
data_payload JSONB,
|
|
refresh_duration_seconds DECIMAL(10,2),
|
|
row_count INT,
|
|
last_updated_by VARCHAR(100)
|
|
);
|
|
|
|
-- ============================================================================
|
|
-- BUSINESS INTELLIGENCE & REPORTING TABLES
|
|
-- ============================================================================
|
|
|
|
CREATE TABLE report_definitions (
|
|
report_id SERIAL PRIMARY KEY,
|
|
report_name VARCHAR(200) NOT NULL UNIQUE,
|
|
report_description TEXT,
|
|
report_category VARCHAR(100),
|
|
sql_query_template TEXT,
|
|
parameters JSONB,
|
|
output_format VARCHAR(20) CHECK (output_format IN ('PDF', 'EXCEL', 'CSV', 'HTML')),
|
|
schedule_frequency VARCHAR(50),
|
|
recipients TEXT,
|
|
is_active BOOLEAN DEFAULT TRUE,
|
|
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
|
);
|
|
|
|
CREATE TABLE report_executions (
|
|
execution_id SERIAL PRIMARY KEY,
|
|
report_id INT NOT NULL REFERENCES report_definitions(report_id),
|
|
execution_timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
parameters_used JSONB,
|
|
row_count INT,
|
|
execution_duration_seconds DECIMAL(10,2),
|
|
status VARCHAR(20) CHECK (status IN ('SUCCESS', 'FAILED', 'TIMEOUT')),
|
|
error_message TEXT,
|
|
output_file_path TEXT,
|
|
executed_by VARCHAR(100)
|
|
);
|
|
|
|
CREATE TABLE data_quality_checks (
|
|
check_id SERIAL PRIMARY KEY,
|
|
check_name VARCHAR(200) NOT NULL,
|
|
table_name VARCHAR(100) NOT NULL,
|
|
column_name VARCHAR(100),
|
|
check_type VARCHAR(50) CHECK (check_type IN ('NULL_CHECK', 'RANGE_CHECK', 'UNIQUENESS', 'REFERENTIAL_INTEGRITY', 'FORMAT_CHECK')),
|
|
check_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
records_checked INT,
|
|
records_failed INT,
|
|
failure_percentage DECIMAL(5,2),
|
|
status VARCHAR(20) CHECK (status IN ('PASS', 'FAIL', 'WARNING')),
|
|
remediation_notes TEXT
|
|
);
|
|
|
|
-- ============================================================================
|
|
-- INDEXES FOR NEW ANALYTICS TABLES
|
|
-- ============================================================================
|
|
|
|
-- Customer Analytics indexes
|
|
CREATE INDEX idx_clv_customer ON customer_lifetime_value(customer_id);
|
|
CREATE INDEX idx_clv_date ON customer_lifetime_value(calculation_date);
|
|
CREATE INDEX idx_clv_segment ON customer_lifetime_value(segment_id);
|
|
CREATE INDEX idx_churn_customer ON churn_predictions(customer_id);
|
|
CREATE INDEX idx_churn_risk ON churn_predictions(risk_level);
|
|
CREATE INDEX idx_satisfaction_customer ON customer_satisfaction(customer_id);
|
|
CREATE INDEX idx_engagement_customer ON engagement_metrics(customer_id);
|
|
CREATE INDEX idx_engagement_date ON engagement_metrics(metric_date);
|
|
|
|
-- Sales Analytics indexes
|
|
CREATE INDEX idx_sales_trans_product ON sales_transactions(product_id);
|
|
CREATE INDEX idx_sales_trans_date ON sales_transactions(sale_date);
|
|
CREATE INDEX idx_sales_trans_channel ON sales_transactions(sales_channel);
|
|
CREATE INDEX idx_sales_perf_date ON sales_performance(period_date);
|
|
CREATE INDEX idx_sales_perf_product ON sales_performance(product_id);
|
|
CREATE INDEX idx_product_category ON product_catalog(product_category);
|
|
CREATE INDEX idx_product_active ON product_catalog(is_active);
|
|
|
|
-- KPI & Metrics indexes
|
|
CREATE INDEX idx_daily_metrics_date ON daily_metrics(metric_date);
|
|
CREATE INDEX idx_daily_metrics_kpi ON daily_metrics(kpi_id);
|
|
CREATE INDEX idx_monthly_summaries_period ON monthly_summaries(summary_year, summary_month);
|
|
CREATE INDEX idx_trend_kpi ON trend_analysis(kpi_id);
|
|
CREATE INDEX idx_trend_date ON trend_analysis(analysis_date);
|
|
|
|
-- Reporting indexes
|
|
CREATE INDEX idx_report_exec_report ON report_executions(report_id);
|
|
CREATE INDEX idx_report_exec_timestamp ON report_executions(execution_timestamp);
|
|
CREATE INDEX idx_data_quality_table ON data_quality_checks(table_name);
|
|
CREATE INDEX idx_data_quality_date ON data_quality_checks(check_date);
|
|
|
|
-- ============================================================================
|
|
-- COMMENTS FOR NEW TABLES
|
|
-- ============================================================================
|
|
|
|
COMMENT ON TABLE customer_segments IS 'Customer segmentation definitions for targeted analysis';
|
|
COMMENT ON TABLE customer_lifetime_value IS 'Customer lifetime value calculations and tracking';
|
|
COMMENT ON TABLE churn_predictions IS 'Customer churn risk predictions for retention analysis';
|
|
COMMENT ON TABLE customer_satisfaction IS 'Customer satisfaction scores and feedback';
|
|
COMMENT ON TABLE engagement_metrics IS 'Customer engagement tracking metrics';
|
|
COMMENT ON TABLE product_catalog IS 'Product master data for sales analysis';
|
|
COMMENT ON TABLE sales_transactions IS 'Detailed sales transaction records';
|
|
COMMENT ON TABLE sales_targets IS 'Sales performance targets and goals';
|
|
COMMENT ON TABLE sales_performance IS 'Aggregated sales performance metrics';
|
|
COMMENT ON TABLE revenue_forecasts IS 'Revenue forecasting and predictions';
|
|
COMMENT ON TABLE kpi_definitions IS 'Master list of tracked KPIs';
|
|
COMMENT ON TABLE daily_metrics IS 'Daily operational metrics for dashboards';
|
|
COMMENT ON TABLE monthly_summaries IS 'Monthly aggregated business summaries';
|
|
COMMENT ON TABLE trend_analysis IS 'Statistical trend analysis results';
|
|
COMMENT ON TABLE dashboard_snapshots IS 'Pre-calculated dashboard data snapshots';
|
|
COMMENT ON TABLE report_definitions IS 'Standard report catalog';
|
|
COMMENT ON TABLE report_executions IS 'Report execution history and logs';
|
|
COMMENT ON TABLE data_quality_checks IS 'Data quality validation tracking';
|
|
|