tilbudgivern/setup_analytics_schema.sql

-- Case Analytics Database Schema
-- Optimized for performance og caching af beregnede nøgletal

-- ===================================
-- 1. PROJECT ANALYTICS TABLE
-- ===================================
CREATE TABLE IF NOT EXISTS project_analytics (
    id INT AUTO_INCREMENT PRIMARY KEY,
    project_id INT NOT NULL,
    project_name VARCHAR(500),
    customer_id INT,
    customer_name VARCHAR(255),
    employee_id INT,
    employee_name VARCHAR(255),
    
    -- Project Metrics
    total_hours DECIMAL(10,2) DEFAULT 0,
    total_material_cost DECIMAL(15,2) DEFAULT 0,
    total_labor_cost DECIMAL(15,2) DEFAULT 0,
    total_quote_value DECIMAL(15,2) DEFAULT 0,
    actual_cost DECIMAL(15,2) DEFAULT 0,
    profit_amount DECIMAL(15,2) DEFAULT 0,
    profit_margin DECIMAL(5,2) DEFAULT 0,
    
    -- Performance Metrics
    quote_accuracy_percentage DECIMAL(5,2) DEFAULT 0,
    time_estimation_accuracy DECIMAL(5,2) DEFAULT 0,
    material_waste_percentage DECIMAL(5,2) DEFAULT 0,
    
    -- Timeline Data
    project_start_date DATE,
    project_end_date DATE,
    project_duration_days INT,
    quote_created_date DATE,
    
    -- Meta Data
    last_calculated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    is_active BOOLEAN DEFAULT TRUE,
    
    -- Indexes
    INDEX idx_project_id (project_id),
    INDEX idx_customer_id (customer_id),
    INDEX idx_employee_id (employee_id),
    INDEX idx_profit_margin (profit_margin),
    INDEX idx_quote_accuracy (quote_accuracy_percentage),
    INDEX idx_last_calculated (last_calculated),
    
    UNIQUE KEY unique_project (project_id)
);

-- ===================================
-- 2. EMPLOYEE PERFORMANCE ANALYTICS
-- ===================================
CREATE TABLE IF NOT EXISTS employee_performance_analytics (
    id INT AUTO_INCREMENT PRIMARY KEY,
    employee_id INT NOT NULL,
    employee_name VARCHAR(255),
    period_month INT NOT NULL,
    period_year INT NOT NULL,
    
    -- Performance KPIs
    total_projects INT DEFAULT 0,
    total_revenue DECIMAL(15,2) DEFAULT 0,
    total_profit DECIMAL(15,2) DEFAULT 0,
    avg_profit_margin DECIMAL(5,2) DEFAULT 0,
    
    -- Accuracy Metrics
    avg_quote_accuracy DECIMAL(5,2) DEFAULT 0,
    avg_time_accuracy DECIMAL(5,2) DEFAULT 0,
    projects_over_budget INT DEFAULT 0,
    projects_under_budget INT DEFAULT 0,
    
    -- Productivity Metrics
    avg_project_duration DECIMAL(8,2) DEFAULT 0,
    total_hours_worked DECIMAL(10,2) DEFAULT 0,
    revenue_per_hour DECIMAL(8,2) DEFAULT 0,
    
    -- Rankings (updated monthly)
    profit_rank INT DEFAULT 0,
    accuracy_rank INT DEFAULT 0,
    productivity_rank INT DEFAULT 0,
    
    last_calculated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    
    -- Indexes
    INDEX idx_employee_id (employee_id),
    INDEX idx_period (period_year, period_month),
    INDEX idx_profit_margin (avg_profit_margin),
    INDEX idx_quote_accuracy (avg_quote_accuracy),
    
    UNIQUE KEY unique_employee_period (employee_id, period_year, period_month)
);

-- ===================================
-- 3. CUSTOMER ANALYTICS
-- ===================================
CREATE TABLE IF NOT EXISTS customer_analytics (
    id INT AUTO_INCREMENT PRIMARY KEY,
    customer_id INT NOT NULL,
    customer_name VARCHAR(255),
    
    -- Business Metrics
    total_projects INT DEFAULT 0,
    total_revenue DECIMAL(15,2) DEFAULT 0,
    avg_project_value DECIMAL(15,2) DEFAULT 0,
    total_profit DECIMAL(15,2) DEFAULT 0,
    avg_profit_margin DECIMAL(5,2) DEFAULT 0,
    
    -- Relationship Metrics
    first_project_date DATE,
    last_project_date DATE,
    customer_lifespan_days INT DEFAULT 0,
    project_frequency_days DECIMAL(8,2) DEFAULT 0,
    
    -- Risk Metrics
    projects_over_budget INT DEFAULT 0,
    avg_quote_accuracy DECIMAL(5,2) DEFAULT 0,
    payment_history_score DECIMAL(3,2) DEFAULT 1.0,
    
    -- Customer Segmentation
    customer_tier ENUM('Bronze', 'Silver', 'Gold', 'Platinum') DEFAULT 'Bronze',
    is_high_value BOOLEAN DEFAULT FALSE,
    is_frequent BOOLEAN DEFAULT FALSE,
    
    last_calculated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    
    -- Indexes
    INDEX idx_customer_id (customer_id),
    INDEX idx_total_revenue (total_revenue),
    INDEX idx_customer_tier (customer_tier),
    INDEX idx_profit_margin (avg_profit_margin),
    
    UNIQUE KEY unique_customer (customer_id)
);

-- ===================================
-- 4. MATERIAL ANALYTICS
-- ===================================
CREATE TABLE IF NOT EXISTS material_analytics (
    id INT AUTO_INCREMENT PRIMARY KEY,
    material_name VARCHAR(255) NOT NULL,
    material_category VARCHAR(100),
    varenr VARCHAR(50),
    
    -- Usage Metrics
    total_usage_count INT DEFAULT 0,
    total_quantity_used DECIMAL(15,3) DEFAULT 0,
    total_cost DECIMAL(15,2) DEFAULT 0,
    avg_unit_price DECIMAL(10,2) DEFAULT 0,
    
    -- Price Trends
    min_price DECIMAL(10,2) DEFAULT 0,
    max_price DECIMAL(10,2) DEFAULT 0,
    current_price DECIMAL(10,2) DEFAULT 0,
    price_volatility DECIMAL(5,2) DEFAULT 0,
    
    -- Performance Metrics
    avg_waste_percentage DECIMAL(5,2) DEFAULT 0,
    projects_used_in INT DEFAULT 0,
    last_used_date DATE,
    
    -- Profitability
    markup_percentage DECIMAL(5,2) DEFAULT 0,
    profit_contribution DECIMAL(15,2) DEFAULT 0,
    
    -- Popularity Rankings
    usage_rank INT DEFAULT 0,
    profit_rank INT DEFAULT 0,
    
    last_calculated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    
    -- Indexes
    INDEX idx_material_name (material_name),
    INDEX idx_category (material_category),
    INDEX idx_varenr (varenr),
    INDEX idx_usage_count (total_usage_count),
    INDEX idx_profit_contribution (profit_contribution),
    
    UNIQUE KEY unique_material (material_name, varenr)
);

-- ===================================
-- 5. DAILY BUSINESS METRICS
-- ===================================
CREATE TABLE IF NOT EXISTS daily_business_metrics (
    id INT AUTO_INCREMENT PRIMARY KEY,
    metric_date DATE NOT NULL,
    
    -- Daily Summary
    new_projects INT DEFAULT 0,
    completed_projects INT DEFAULT 0,
    total_daily_revenue DECIMAL(15,2) DEFAULT 0,
    total_daily_profit DECIMAL(15,2) DEFAULT 0,
    avg_daily_profit_margin DECIMAL(5,2) DEFAULT 0,
    
    -- Active Metrics
    active_projects INT DEFAULT 0,
    active_employees INT DEFAULT 0,
    active_customers INT DEFAULT 0,
    
    -- Performance Indicators
    avg_quote_accuracy DECIMAL(5,2) DEFAULT 0,
    projects_over_budget INT DEFAULT 0,
    projects_on_time INT DEFAULT 0,
    
    -- Growth Metrics
    revenue_growth_rate DECIMAL(5,2) DEFAULT 0,
    profit_growth_rate DECIMAL(5,2) DEFAULT 0,
    customer_growth_rate DECIMAL(5,2) DEFAULT 0,
    
    last_calculated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    
    -- Indexes
    INDEX idx_metric_date (metric_date),
    INDEX idx_revenue (total_daily_revenue),
    INDEX idx_profit_margin (avg_daily_profit_margin),
    
    UNIQUE KEY unique_date (metric_date)
);

-- ===================================
-- 6. BENCHMARK & TARGETS
-- ===================================
CREATE TABLE IF NOT EXISTS business_benchmarks (
    id INT AUTO_INCREMENT PRIMARY KEY,
    metric_name VARCHAR(100) NOT NULL,
    metric_category ENUM('Profitability', 'Accuracy', 'Performance', 'Growth') NOT NULL,
    
    -- Benchmark Values
    target_value DECIMAL(15,2) NOT NULL,
    current_value DECIMAL(15,2) DEFAULT 0,
    industry_average DECIMAL(15,2) DEFAULT 0,
    best_performance DECIMAL(15,2) DEFAULT 0,
    
    -- Performance Tracking
    variance_from_target DECIMAL(15,2) DEFAULT 0,
    performance_score DECIMAL(5,2) DEFAULT 0,
    trend_direction ENUM('up', 'down', 'stable') DEFAULT 'stable',
    
    -- Meta Data
    unit_of_measure VARCHAR(50),
    description TEXT,
    last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    
    -- Indexes
    INDEX idx_metric_name (metric_name),
    INDEX idx_category (metric_category),
    INDEX idx_performance_score (performance_score),
    
    UNIQUE KEY unique_metric (metric_name)
);

-- ===================================
-- 7. ANALYTICS CALCULATION LOG
-- ===================================
CREATE TABLE IF NOT EXISTS analytics_calculation_log (
    id INT AUTO_INCREMENT PRIMARY KEY,
    calculation_type ENUM('full_refresh', 'incremental', 'daily_summary', 'benchmarks') NOT NULL,
    start_time TIMESTAMP NOT NULL,
    end_time TIMESTAMP,
    duration_seconds INT,
    
    -- Processing Stats
    records_processed INT DEFAULT 0,
    records_updated INT DEFAULT 0,
    records_inserted INT DEFAULT 0,
    
    -- Status
    status ENUM('running', 'completed', 'failed') DEFAULT 'running',
    error_message TEXT,
    
    -- Performance Metrics
    cpu_usage_avg DECIMAL(5,2) DEFAULT 0,
    memory_usage_mb INT DEFAULT 0,
    
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    
    -- Indexes
    INDEX idx_calculation_type (calculation_type),
    INDEX idx_status (status),
    INDEX idx_start_time (start_time)
);

-- ===================================
-- 8. POPULATE INITIAL BENCHMARKS
-- ===================================
INSERT INTO business_benchmarks (metric_name, metric_category, target_value, unit_of_measure, description) VALUES
('avg_profit_margin', 'Profitability', 35.00, 'percentage', 'Target profit margin for projects'),
('quote_accuracy', 'Accuracy', 90.00, 'percentage', 'Target quote accuracy percentage'),
('project_on_time_rate', 'Performance', 85.00, 'percentage', 'Target on-time project completion'),
('customer_satisfaction', 'Performance', 4.50, 'rating', 'Target customer satisfaction (1-5 scale)'),
('revenue_growth_monthly', 'Growth', 5.00, 'percentage', 'Target monthly revenue growth'),
('employee_productivity', 'Performance', 75000.00, 'DKK', 'Target revenue per employee per month'),
('material_waste_rate', 'Performance', 5.00, 'percentage', 'Target maximum material waste'),
('project_overrun_rate', 'Performance', 15.00, 'percentage', 'Acceptable project cost overrun rate')
ON DUPLICATE KEY UPDATE 
target_value = VALUES(target_value),
description = VALUES(description);

-- ===================================
-- 9. CREATE VIEWS FOR QUICK ACCESS
-- ===================================

-- Top Performing Employees View
CREATE OR REPLACE VIEW top_employees_view AS
SELECT 
    e.employee_name,
    e.total_projects,
    e.total_revenue,
    e.avg_profit_margin,
    e.avg_quote_accuracy,
    e.revenue_per_hour,
    e.profit_rank,
    e.accuracy_rank
FROM employee_performance_analytics e
WHERE e.period_year = YEAR(CURRENT_DATE) 
  AND e.period_month = MONTH(CURRENT_DATE)
ORDER BY e.avg_profit_margin DESC, e.avg_quote_accuracy DESC
LIMIT 10;

-- High Value Customers View  
CREATE OR REPLACE VIEW high_value_customers_view AS
SELECT 
    c.customer_name,
    c.total_projects,
    c.total_revenue,
    c.avg_project_value,
    c.avg_profit_margin,
    c.customer_tier,
    DATEDIFF(CURRENT_DATE, c.last_project_date) as days_since_last_project
FROM customer_analytics c
WHERE c.total_revenue > 100000 OR c.customer_tier IN ('Gold', 'Platinum')
ORDER BY c.total_revenue DESC;

-- Business Health Dashboard View
CREATE OR REPLACE VIEW business_health_dashboard AS
SELECT 
    d.metric_date,
    d.total_daily_revenue,
    d.total_daily_profit,
    d.avg_daily_profit_margin,
    d.avg_quote_accuracy,
    d.active_projects,
    d.revenue_growth_rate,
    CASE 
        WHEN d.avg_daily_profit_margin >= 35 THEN 'Excellent'
        WHEN d.avg_daily_profit_margin >= 25 THEN 'Good' 
        WHEN d.avg_daily_profit_margin >= 15 THEN 'Fair'
        ELSE 'Poor'
    END as profit_health,
    CASE 
        WHEN d.avg_quote_accuracy >= 90 THEN 'Excellent'
        WHEN d.avg_quote_accuracy >= 80 THEN 'Good'
        WHEN d.avg_quote_accuracy >= 70 THEN 'Fair' 
        ELSE 'Poor'
    END as accuracy_health
FROM daily_business_metrics d
ORDER BY d.metric_date DESC
LIMIT 30;

-- Material Performance View
CREATE OR REPLACE VIEW material_performance_view AS
SELECT 
    m.material_name,
    m.material_category,
    m.total_usage_count,
    m.total_cost,
    m.avg_unit_price,
    m.profit_contribution,
    m.price_volatility,
    m.usage_rank,
    CASE 
        WHEN m.usage_rank <= 10 THEN 'High Usage'
        WHEN m.usage_rank <= 50 THEN 'Medium Usage'
        ELSE 'Low Usage'
    END as usage_category
FROM material_analytics m
WHERE m.total_usage_count > 0
ORDER BY m.profit_contribution DESC;

-- ===================================
-- 10. PERFORMANCE OPTIMIZATION
-- ===================================

-- Create additional indexes for common queries
CREATE INDEX idx_project_analytics_composite ON project_analytics (customer_id, profit_margin, quote_accuracy_percentage);
CREATE INDEX idx_employee_analytics_composite ON employee_performance_analytics (period_year, period_month, avg_profit_margin);
CREATE INDEX idx_daily_metrics_year_month ON daily_business_metrics (metric_date);

-- ===================================
-- COMPLETION MESSAGE
-- ===================================
SELECT 
    'Analytics Schema Setup Complete!' as status,
    COUNT(TABLE_NAME) as tables_created
FROM information_schema.TABLES 
WHERE TABLE_SCHEMA = DATABASE() 
  AND TABLE_NAME IN (
    'project_analytics', 
    'employee_performance_analytics', 
    'customer_analytics', 
    'material_analytics', 
    'daily_business_metrics', 
    'business_benchmarks',
    'analytics_calculation_log'
  );