Data Handling & Security System

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Data Handling & Security System

Introduction:

Training for Mid-Management Staff in the Utilities Industry

Our comprehensive four-day interactive programme on Data Handling & Security System is specifically designed for mid-management staff in the utilities industry. In today’s digital landscape, a solid understanding of data management principles and security protocols is essential for effective leadership and strategic decision-making. This course aims to equip participants with the fundamental knowledge and skills necessary to manage and secure data within their organizations confidently.

Course Objectives and Outcomes:    

  • Fundamental Understanding: Learn the basics of data management, including data collection, storage, and processing, to ensure efficient and secure data handling practices.
  • Analytical Skills: Develop the ability to analyze data security risks, implement effective data protection measures, and respond to data breaches.
  • Compliance and Standards: Gain insights into industry regulations, compliance requirements, and best practices for data security.
  • Strategic Data Management: Understand how to align data management strategies with organizational goals and create a culture of data security.

Course Content:

Day 1: Introduction to Data Handling

Understanding Data Management

  • Welcome and Introduction
  • Overview of Data Management
  • Data Collection
  • Data Storage
  • Data Processing

Deep Dive into Data Storage

  • Storage Technologies
  • Data Warehousing
  • Cloud Storage
  • Case Study: Data Storage Solutions

Data Processing and Handling

  • Data Cleaning and Transformation
  • Data Integration
  • Data Lifecycle Management
  • Case Study: Data Handling Practices

Q&A and Recap

Day 2: Data Security Basics

Data Security Fundamentals

  • Introduction to Data Security
  • Security Threats and Vulnerabilities
  • Data Encryption
  • Access Control

Implementing Security Measures

  • Firewalls and Intrusion Detection Systems
  • Data Masking and Anonymization
  • Multi-Factor Authentication
  • Case Study: Implementing Security Measures

Data Breach Response

  • Identifying Data Breaches
  • Incident Response Plan
  • Case Study: Data Breach Scenario

Q&A and Recap

Day 3: Compliance and Standards

Regulatory Compliance

  • Understanding Regulatory Requirements
  • GDPR, HIPAA, and Other Regulations
  • Industry Standards and Best Practices

Auditing and Monitoring

  • Conducting Security Audits
  • Continuous Monitoring
  • Case Study: Compliance Audit

Risk Management

  • Identifying and Assessing Risks
  • Mitigation Strategies
  • Case Study: Risk Management Exercise

Q&A and Recap

Day 4: Strategic Data Management

Linking Data Management with Strategy

  • Strategic Data Planning
  • Aligning Data Goals with Business Strategy
  • Long-term Data Management Planning

Ethical Considerations in Data Management

  • Ethical Dilemmas and Decision Making
  • Privacy and Confidentiality
  • Case Study: Ethical Considerations

Integrative Exercises and Wrap-Up

  • Integrative Case Study
  • Group Activity: Presenting Data Management Strategies
  • Final Q&A and Feedback