┌─────────────────────────────────────────────────────────────────────────────┐
│                    COMPLIANCE CULTURE MATURITY MODEL                      │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  Level 1           Level 2           Level 3           Level 4             │
│  ┌─────────┐      ┌─────────┐      ┌─────────┐      ┌─────────┐          │
│  │ Reactive│      │ Rule-Based│    │ Value-  │      │ Embedded│          │
│  │         │ ──→ │           │ ──→ │ Based   │ ──→ │         │          │
│  └─────────┘      └─────────┘      └─────────┘      └─────────┘          │
│                                                                             │
│  Level 5                                                                   │
│  ┌─────────┐                                                             │
│  │ Adaptive│                                                             │
│  └─────────┘                                                             │
│                                                                             │
│  • React to     • Follow      • Proactive   • Integrated      • Self-     │
│    incidents      rules        compliance     compliance       healing    │
│  • Minimal       • Minimal     • Values-     • Culture        • Continuous│
│    awareness      engagement    driven        across          improvement│
│                                  engagement    organisation                │
└─────────────────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────────────────┐
│                    CHANGE MANAGEMENT PROCESS                              │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    AWARENESS                                        │   │
│  │  Communicate the need for change                                    │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                    │                                        │
│                                    v                                        │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    DESIRE                                           │   │
│  │  Build motivation for change                                        │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                    │                                        │
│                                    v                                        │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    KNOWLEDGE                                        │   │
│  │  Provide training and resources                                     │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                    │                                        │
│                                    v                                        │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    ABILITY                                          │   │
│  │  Enable employees to implement change                               │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                    │                                        │
│                                    v                                        │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    REINFORCEMENT                                    │   │
│  │  Sustain and reinforce change                                       │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

# ===================================================================
# MODULE 6, LESSON 7: COMPLIANCE CULTURE AND CHANGE MANAGEMENT
# ===================================================================

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import datetime, timedelta
import warnings
warnings.filterwarnings('ignore')

print("="*70)
print("COMPLIANCE CULTURE AND CHANGE MANAGEMENT")
print("="*70)

# ----------------------------------------------------------------
# PART A: COMPLIANCE CULTURE ASSESSMENT
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART A: Compliance Culture Assessment")
print("-"*60)

culture_dimensions = {
    'Leadership Commitment': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'},
    'Employee Engagement': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'},
    'Communication': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'},
    'Training and Awareness': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'},
    'Accountability': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'},
    'Transparency': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'},
    'Continuous Improvement': {'Current Score': 2, 'Target Score': 4, 'Priority': 'Medium'},
    'Consequences': {'Current Score': 3, 'Target Score': 5, 'Priority': 'High'}
}

culture_df = pd.DataFrame(culture_dimensions).T
print("Compliance Culture Assessment:")
print(culture_df)

# Visualise
fig, ax = plt.subplots(figsize=(10, 6))
dimensions = list(culture_df.index)
current = culture_df['Current Score'].tolist()
target = culture_df['Target Score'].tolist()

x = np.arange(len(dimensions))
width = 0.35

ax.barh(x - width/2, current, width, label='Current', color='blue', alpha=0.7)
ax.barh(x + width/2, target, width, label='Target', color='green', alpha=0.7)

ax.set_yticks(x)
ax.set_yticklabels(dimensions)
ax.set_xlabel('Maturity Score (1-5)')
ax.set_title('Compliance Culture Assessment')
ax.legend()
ax.grid(True, alpha=0.3, axis='x')

plt.tight_layout()
plt.savefig('compliance_culture.png', dpi=300, bbox_inches='tight')
plt.show()
print("Compliance culture visualisation saved as 'compliance_culture.png'")

# ----------------------------------------------------------------
# PART B: EMPLOYEE COMPLIANCE TRAINING SIMULATION
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART B: Employee Compliance Training Simulation")
print("-"*60)

class ComplianceTraining:
    """Simulate compliance training management."""
    
    def __init__(self):
        self.employees = []
        self.training_records = []
        self.training_courses = {
            'Code of Conduct': {'duration': 1, 'frequency': 'annual'},
            'Data Privacy': {'duration': 1.5, 'frequency': 'annual'},
            'AML/KYC': {'duration': 2, 'frequency': 'annual'},
            'Fair Lending': {'duration': 1.5, 'frequency': 'annual'},
            'Cybersecurity': {'duration': 1, 'frequency': 'annual'},
            'Whistleblowing': {'duration': 0.5, 'frequency': 'annual'}
        }
    
    def add_employee(self, name, department):
        """Add an employee to the training system."""
        employee = {
            'name': name,
            'department': department,
            'training_completed': []
        }
        self.employees.append(employee)
        return employee
    
    def complete_training(self, employee_name, course_name):
        """Record training completion."""
        employee = next((e for e in self.employees if e['name'] == employee_name), None)
        if not employee:
            return {'error': 'Employee not found'}
        
        if course_name not in self.training_courses:
            return {'error': 'Course not found'}
        
        record = {
            'employee': employee_name,
            'course': course_name,
            'completed_at': datetime.now().isoformat()
        }
        self.training_records.append(record)
        employee['training_completed'].append(course_name)
        return record
    
    def get_training_status(self):
        """Get training completion status."""
        status = []
        for employee in self.employees:
            completed = len(employee['training_completed'])
            total = len(self.training_courses)
            status.append({
                'employee': employee['name'],
                'department': employee['department'],
                'completed': completed,
                'total': total,
                'percentage': (completed / total) * 100
            })
        return pd.DataFrame(status)
    
    def get_compliance_score(self):
        """Calculate overall compliance training score."""
        total_employees = len(self.employees)
        if total_employees == 0:
            return 0
        
        total_completed = sum(len(e['training_completed']) for e in self.employees)
        total_required = total_employees * len(self.training_courses)
        return (total_completed / total_required) * 100

# Test compliance training
ct = ComplianceTraining()

# Add employees
ct.add_employee('Alice', 'Operations')
ct.add_employee('Bob', 'Risk')
ct.add_employee('Charlie', 'Compliance')
ct.add_employee('Diana', 'IT')
ct.add_employee('Eve', 'Marketing')

# Complete training
ct.complete_training('Alice', 'Code of Conduct')
ct.complete_training('Alice', 'Data Privacy')
ct.complete_training('Bob', 'Code of Conduct')
ct.complete_training('Bob', 'AML/KYC')
ct.complete_training('Bob', 'Fair Lending')
ct.complete_training('Charlie', 'Code of Conduct')
ct.complete_training('Charlie', 'Data Privacy')
ct.complete_training('Charlie', 'AML/KYC')
ct.complete_training('Charlie', 'Fair Lending')
ct.complete_training('Charlie', 'Cybersecurity')
ct.complete_training('Charlie', 'Whistleblowing')
ct.complete_training('Diana', 'Cybersecurity')
ct.complete_training('Diana', 'Code of Conduct')

# Get status
status = ct.get_training_status()
print("Training Status:")
print(status.to_string(index=False))

print(f"\nOverall Compliance Training Score: {ct.get_compliance_score():.1f}%")

# ----------------------------------------------------------------
# PART C: EMPLOYEE COMPLIANCE SURVEY SIMULATION
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART C: Employee Compliance Survey Simulation")
print("-"*60)

# Generate survey data
np.random.seed(42)
n_employees = 100

survey_data = pd.DataFrame({
    'employee_id': range(1, n_employees + 1),
    'understanding_score': np.random.randint(1, 6, n_employees),
    'commitment_score': np.random.randint(1, 6, n_employees),
    'awareness_score': np.random.randint(1, 6, n_employees),
    'reporting_willingness': np.random.randint(1, 6, n_employees),
    'leadership_support': np.random.randint(1, 6, n_employees)
})

# Calculate overall culture score
survey_data['culture_score'] = (
    survey_data['understanding_score'] * 0.25 +
    survey_data['commitment_score'] * 0.25 +
    survey_data['awareness_score'] * 0.20 +
    survey_data['reporting_willingness'] * 0.15 +
    survey_data['leadership_support'] * 0.15
)

print("Compliance Survey Results:")
print(survey_data.describe())

# Visualise
fig, axes = plt.subplots(2, 3, figsize=(15, 10))

# Survey scores distribution
for i, col in enumerate(['understanding_score', 'commitment_score', 'awareness_score', 
                         'reporting_willingness', 'leadership_support']):
    ax = axes[i // 3, i % 3]
    ax.hist(survey_data[col], bins=5, edgecolor='black', alpha=0.7, color='teal')
    ax.set_xlabel(col)
    ax.set_ylabel('Count')
    ax.set_title(f'{col.replace("_", " ").title()}')
    ax.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig('compliance_survey.png', dpi=300, bbox_inches='tight')
plt.show()
print("Compliance survey visualisation saved as 'compliance_survey.png'")

# ----------------------------------------------------------------
# PART D: COMPLIANCE CULTURE METRICS
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART D: Compliance Culture Metrics")
print("-"*60)

culture_metrics = pd.DataFrame({
    'Metric': [
        'Compliance Training Completion',
        'Employee Understanding Score',
        'Leadership Support Score',
        'Reporting Willingness',
        'Compliance Culture Score',
        'Employee Engagement Score',
        'Whistleblowing Rate',
        'Compliance Incident Rate'
    ],
    'Current Value': [
        '72%',
        '3.8/5',
        '3.5/5',
        '3.2/5',
        '3.6/5',
        '65%',
        '1.2%',
        '2.5%'
    ],
    'Target Value': [
        '> 95%',
        '> 4.5/5',
        '> 4.5/5',
        '> 4.0/5',
        '> 4.5/5',
        '> 85%',
        '> 3%',
        '< 1%'
    ],
    'Status': ['🔴', '🟡', '🟡', '🟡', '🟡', '🟡', '🟡', '🟡']
})

print("Compliance Culture Metrics:")
print(culture_metrics.to_string(index=False))

# ----------------------------------------------------------------
# PART E: CHANGE MANAGEMENT PLAN
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART E: Change Management Plan")
print("-"*60)

change_management = {
    "Phase 1 (0-3 months) – Awareness": {
        "Activities": [
            "Communicate new compliance requirements.",
            "Conduct town hall meetings.",
            "Share compliance success stories.",
            "Create compliance champions network."
        ],
        "Success Metrics": ["Awareness survey > 80%", "Champions network established"]
    },
    "Phase 2 (3-6 months) – Knowledge": {
        "Activities": [
            "Deliver compliance training.",
            "Provide resources and guides.",
            "Conduct workshops and seminars.",
            "Create compliance knowledge base."
        ],
        "Success Metrics": ["Training completion > 90%", "Knowledge assessment > 85%"]
    },
    "Phase 3 (6-9 months) – Implementation": {
        "Activities": [
            "Implement compliance processes.",
            "Enable reporting mechanisms.",
            "Establish compliance monitoring.",
            "Provide ongoing support."
        ],
        "Success Metrics": ["Process implementation > 90%", "Reporting rate > 80%"]
    },
    "Phase 4 (9-12 months) – Reinforcement": {
        "Activities": [
            "Monitor compliance performance.",
            "Provide feedback and coaching.",
            "Recognise compliance champions.",
            "Embed compliance culture."
        ],
        "Success Metrics": ["Compliance culture score > 4.0", "Incident rate < 1%"]
    }
}

for phase, details in change_management.items():
    print(f"\n{phase}:")
    print("  Activities:")
    for activity in details['Activities']:
        print(f"    • {activity}")
    print("  Success Metrics:")
    for metric in details['Success Metrics']:
        print(f"    • {metric}")

# ----------------------------------------------------------------
# PART F: COMPLIANCE CULTURE ROADMAP
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART F: Compliance Culture Roadmap")
print("-"*60)

roadmap = {
    "Phase 1 (0-6 months) – Foundation": {
        "Focus": "Build compliance culture foundation.",
        "Activities": [
            "Establish leadership commitment.",
            "Implement compliance training programme.",
            "Create communication channels.",
            "Build accountability framework."
        ],
        "Success Metrics": ["Compliance culture score > 3.5", "Training completion > 80%"]
    },
    "Phase 2 (6-12 months) – Scale": {
        "Focus": "Scale compliance culture.",
        "Activities": [
            "Embed compliance in processes.",
            "Enhance training programmes.",
            "Implement recognition and rewards.",
            "Establish reporting mechanisms."
        ],
        "Success Metrics": ["Compliance culture score > 4.0", "Employee engagement > 75%"]
    },
    "Phase 3 (12-24 months) – Advanced": {
        "Focus": "Advanced compliance culture.",
        "Activities": [
            "Implement AI-driven compliance insights.",
            "Deploy predictive compliance analytics.",
            "Build compliance dashboards.",
            "Achieve compliance maturity."
        ],
        "Success Metrics": ["Compliance culture score > 4.5", "Incident rate < 1%"]
    },
    "Phase 4 (24+ months) – Leadership": {
        "Focus": "Industry-leading compliance culture.",
        "Activities": [
            "Implement autonomous compliance.",
            "Build predictive compliance intelligence.",
            "Achieve industry leadership.",
            "Establish compliance-first culture."
        ],
        "Success Metrics": ["Industry-leading compliance culture", "Continuous improvement"]
    }
}

for phase, details in roadmap.items():
    print(f"\n{phase}:")
    print(f"  Focus: {details['Focus']}")
    print("  Activities:")
    for activity in details['Activities']:
        print(f"    • {activity}")
    print("  Success Metrics:")
    for metric in details['Success Metrics']:
        print(f"    • {metric}")

# ----------------------------------------------------------------
# PART G: SUMMARY AND RECOMMENDATIONS
# ----------------------------------------------------------------

print("\n" + "="*70)
print("PART G: Summary and Recommendations")
print("="*70)

print("""
Compliance Culture and Change Management – Key Takeaways:

1. Compliance culture is essential for regulatory compliance.
2. Key elements: tone from the top, accountability, transparency, training, incentives.
3. Culture maturity: reactive → rule-based → value-based → embedded → adaptive.
4. Change management: awareness → desire → knowledge → ability → reinforcement.
5. Training is critical: induction, annual refresher, specialised training.
6. Key metrics: training completion, understanding, leadership support, culture score.
7. Roadmap: foundation → scale → advanced → leadership.

Recommendations:
  - Establish leadership commitment to compliance.
  - Implement compliance training programmes.
  - Build accountability and transparency.
  - Communicate compliance expectations regularly.
  - Reward compliant behaviour.
  - Continuously monitor and improve compliance culture.
""")

print("="*70)
print("END OF LESSON 7 – MODULE 6")
print("="*70)