Introduction

In the era of digital transformation, organizations generate massive volumes of data daily. To ensure optimal data governance, compliance, and decision-making, understanding data mapping and maintaining a reliable data inventory has become a strategic priority. Training Course on Data Mapping and Inventory is designed to equip participants with essential skills in data lineage tracking, metadata management, and data classification, empowering organizations to ensure regulatory compliance, improve data security, and enhance business intelligence strategies.

Through real-life case studies, advanced data governance tools, and hands-on mapping exercises, this training emphasizes practical execution. Whether you're navigating GDPR, HIPAA, or internal compliance frameworks, this course lays a robust foundation for data accountability, impact assessments, and AI-readiness. Master the essential techniques of automated discovery, data cataloging, and data flow visualization for organizational success.

Programme Curriculum

Training Course on Data Mapping and Inventory

Introduction

Course Objectives

Understand the fundamentals of data mapping and data inventory management.
Learn how to create accurate data flow diagrams and entity relationship models.
Identify and document personally identifiable information (PII) across systems.
Implement automated data discovery tools for metadata extraction.
Comprehend the role of data lineage in data governance frameworks.
Apply best practices in data classification and sensitive data tagging.
Integrate compliance requirements like GDPR, CCPA, and HIPAA into data inventories.
Use data cataloging platforms for real-time data visibility.
Perform risk assessments and ensure regulatory audit readiness.
Align data mapping with AI governance, machine learning and cloud migration strategies.
Establish data stewardship roles and responsibilities.
Improve organizational efficiency with master data management (MDM) principles.
Conduct successful data inventory audits and gap analysis.

Target Audience

Data Governance Officers
IT Managers and System Architects
Business Analysts
Compliance and Risk Officers
Chief Data Officers (CDOs)
Data Privacy Professionals
Internal Auditors
Project Managers involved in data-driven projects

Course Duration: 10 days

Course Modules

Module 1: Introduction to Data Mapping

Definition and purpose of data mapping
Types of data maps (logical, physical, conceptual)
Overview of structured vs unstructured data
Importance in modern data governance
Use cases across sectors
Case Study: Implementing data mapping in a financial institution

Module 2: Understanding Data Inventory

What is a data inventory?
Key components of a good inventory
Manual vs automated inventorying
Inventory frequency and lifecycle
Tools used in inventory management
Case Study: Creating a dynamic inventory for a healthcare provider

Module 3: Data Lineage and Flow Diagrams

Capturing data movement from source to destination
Building lineage diagrams
Granularity of lineage
Benefits in compliance and analytics
Tools for lineage tracking
Case Study: GDPR audit preparation with data lineage

Module 4: Metadata and Data Catalogs

Role of metadata in governance
Metadata standards and types
Cataloging structured and semi-structured data
Data enrichment via catalogs
Integration with enterprise platforms
Case Study: Metadata management in a retail enterprise

Module 5: Sensitive Data Discovery

Identifying sensitive data types
Discovery tools and automation
Use of regex and pattern-based discovery
AI in sensitive data detection
Documentation of findings
Case Study: Locating PII for GDPR compliance

Module 6: Data Classification Techniques

Levels of data classification
Manual vs automated classification
Policy-based classification
Impact of classification on data use
Integration with DLP systems
Case Study: Financial sector data classification model

Module 7: Regulatory Compliance Integration

Overview of GDPR, CCPA, HIPAA
Data inventory's role in compliance
Record of processing activities (RoPA)
Reporting obligations
Consent management
Case Study: HIPAA-compliant inventory build

Module 8: Master Data Management (MDM)

What is MDM and why it matters
Core data domains (customer, product, location)
Golden record creation
MDM architecture
Data quality in MDM
Case Study: Customer MDM implementation in telecom

Module 9: Data Mapping for Cloud Environments

Cloud data architecture
Mapping across multi-cloud and hybrid platforms
Tools like AWS Glue, Azure Data Factory
Security considerations in the cloud
Migration challenges
Case Study: Cloud data migration strategy in an e-commerce company

Module 10: Automation Tools and AI in Data Mapping

Overview of automation platforms
Role of AI/ML in mapping
Reducing manual overhead
Visual mapping dashboards
Tool comparison (Collibra, Alation, Talend)
Case Study: AI-enabled data mapping in an insurance firm

Module 11: Risk Management and Data Mapping

Identifying data risks
Mapping for breach response
Risk scoring methodologies
Data risk mitigation strategies
Role of inventory in incident response
Case Study: Data breach investigation in education

Module 12: Creating Data Mapping Policies

Policy frameworks and templates
Roles and responsibilities
Approval workflows
Policy enforcement methods
Training and awareness
Case Study: Building an enterprise-wide mapping policy

Module 13: Auditing and Gap Analysis

Internal audit checklists
Identifying inventory and mapping gaps
Reporting frameworks
Evidence collection for audits
Data inventory updates post-audit
Case Study: Audit readiness for a public sector agency

Module 14: Visualization and Reporting

Data visualization tools for mapping
Dashboards and real-time monitoring
Communicating data flows to stakeholders
KPI development
Custom reports by department
Case Study: Executive-level data inventory dashboard

Module 15: Final Assessment and Strategy Roadmap

Review of concepts and tools
Designing a data mapping strategy
Organization-specific inventory roadmaps
Change management principles
Preparing final presentations
Case Study: End-to-end strategy rollout in a multinational corporation

Training Methodology

Instructor-led interactive sessions
Hands-on labs using real tools (e.g., Collibra, Alation, Talend)
Group activities for policy drafting and risk assessments
Case study discussions and scenario analysis
Pre- and post-assessment quizzes

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Data Management Mapping Compliance Risk

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000