Training Focus Areas
Data Foundation
Support teams in improving how organisational data is collected, structured, maintained, and prepared for operational use. Topics may include:
→ Data strategy and operational planning
→ Data audits and organisational assessments
→ KPI definition and performance frameworks
→ Data collection and preparation practices
→ Data cleaning and validation approaches
→ Organising and integrating data across systems
Data Analytics & Business Intelligence
Help teams strengthen visibility, reporting, analysis, and decision-making using operational and business data. Topics may include:
→ Dashboard and reporting practices
→ Performance and operational analysis
→ Business insight development
→ Marketing and customer analytics
→ Forecasting and trend analysis
→ Reporting interpretation and communication
Data Protection, Privacy & Compliance
Build awareness around responsible data handling, governance, risk management, and compliance responsibilities within organisational environments. Topics may include:
→ Data mapping and data inventory practices
→ Risk and compliance considerations
→ Data governance and accountability structures
→ Policy and documentation practices
→ Jamaica Data Protection Act awareness
→ Responsible data handling and reporting practices
Data Adoption & Training
Support teams in strengthening confidence, consistency, and day-to-day adoption of data practices across operations and reporting workflows. Topics may include:
→ Data literacy and operational understanding
→ Staff enablement and onboarding support
→ Reporting usage and workflow practices
→ Organisational adoption and change management
→ Operational reporting consistency
→ Data-informed decision-making practices
Data 101 for Aspiring Data-Driven Professionals
A practical introductory session designed to help participants better understand, manage, and use data within modern operational and business environments. Topics may include:
→ Building a data-informed culture in practical business environments
→ Identifying the most valuable data for teams and business objectives
→ Common reporting and operational gaps that affect decision-making
→ Organising and managing business data more effectively
→ Communicating insights clearly and confidently
→ Data quality, accountability, and compliance considerations
→ How stronger data practices support digital transformation and AI readiness