Introduction

Data has become the lifeblood of modern organizations, driving strategic decisions, operational efficiency, and competitive advantage. This Advanced Data Management training program, designed by Global Horizon Training Center, is structured to provide participants with an in-depth understanding of data governance, quality, security, and advanced analytical techniques. The program will focus on integrating best practices in data management with emerging technologies and regulatory compliance to enhance organizational success.

Objectives

By the end of this training, participants will be able to:

• Understand advanced data governance frameworks and compliance standards.

• Implement data quality management strategies to ensure accuracy and consistency.

• Utilize data integration techniques for enterprise-wide data consolidation.

• Apply advanced data analytics, AI, and machine learning for business insights.

• Develop robust data security and risk management strategies.

• Master database management and cloud data architecture principles.

• Enhance decision-making through effective data visualization and reporting.

Course Methodology

This training employs a practical and interactive approach, including:

• Instructor-led discussions and case studies.

• Hands-on exercises with real-world data sets.

• Group workshops and problem-solving activities.

• Live demonstrations of advanced data management tools.

• Role-based simulations for data governance and compliance.

Organizational Impact

Organizations that invest in this training will benefit from:

• Improved data governance and regulatory compliance.

• Enhanced data-driven decision-making for business success.

• Reduced data risks and strengthened cybersecurity measures.

• Increased efficiency in managing enterprise-wide data assets.

• Empowered teams with advanced analytics and AI-driven insights.

• Optimized data storage, integration, and cloud-based solutions.

Target Audience

This program is designed for professionals who manage and analyze data, including:

• Data Analysts & Scientists

• Database Administrators & IT Managers

• Business Intelligence Professionals

• Enterprise Architects & Data Engineers

• Compliance & Risk Management Officers

• CIOs, CTOs, and Decision-Makers

Outlines

Day 1: Advanced Data Governance & Compliance

• Overview of Data Governance Frameworks (DAMA-DMBOK, GDPR, CCPA)

• Data Policies & Ethical Considerations

• Regulatory Compliance & Auditing Techniques

• Master Data Management (MDM) Best Practices

• Data Ownership, Stewardship, and Accountability

• Case Study: Implementing a Governance Model

Day 2: Data Quality, Integration & Architecture

• Data Quality Management: Metrics & Standards

• Methods for Data Cleansing & Validation

• Strategies for Data Integration (ETL, ELT, API)

• Enterprise Data Architecture & Cloud Migration

• Managing Structured & Unstructured Data

• Workshop: Building a Scalable Data Model

Day 3: Advanced Analytics, AI & Machine Learning

• Big Data Analytics & Predictive Modeling

• AI & ML Applications in Data Management

• Exploratory Data Analysis & Feature Engineering

• Time-Series Analysis & Trend Forecasting

• Using Python, R, and SQL for Advanced Data Processing

• Hands-on Lab: Developing AI-Driven Insights

Day 4: Data Security, Risk Management & Privacy

• Data Security Threats & Risk Mitigation Strategies

• Implementing Zero Trust Security Model

• Encryption, Access Controls & Blockchain Security

• Incident Response & Cyber Risk Management

• Privacy-Preserving Data Analytics (PPDA)

• Case Study: Data Breach Investigation

Day 5: Data Visualization, Business Intelligence & Decision Making

• Data Storytelling & Effective Reporting Techniques

• Visualization Tools: Power BI, Tableau, Google Data Studio

• Creating Interactive Dashboards & Reports

• Decision Support Systems & Real-Time Analytics

• Hands-on Project: Developing a BI Dashboard

• Final Assessment & Certification